POOLS Development: Confirmatory Factor Analysis

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Last updated: 2021-02-18

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---

Data

source("code/load_packages.R")

-- Attaching packages --------------------------------------- tidyverse 1.3.0 --

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v tibble  3.0.5     v dplyr   1.0.3
v tidyr   1.1.2     v stringr 1.4.0
v readr   1.4.0     v forcats 0.5.0

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lavaan is BETA software! Please report any bugs.

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All users of R (or SEM) are invited to submit functions or ideas for functions.

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MIIVsem is BETA software! Please report any bugs.

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This is simsem 0.5-15

simsem is BETA software! Please report any bugs.

simsem was first developed at the University of Kansas Center for

Research Methods and Data Analysis, under NSF Grant 1053160.

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Attaching package: 'simsem'

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options(digits=3, max.print = 10000)
mydata <- read.table("data/data-2020-11-16/pools_data_split2_2020_11_16.txt", sep="\t", header=T)


# transform responses to (-2, 2) scale
mydata[, 7:63] <- apply(mydata[,7:63], 2, function(x){x-3})

Data Summary

use.var <- c(paste0("Q4_",c(1:5,8:11, 15:18)), #13
             paste0("Q5_",c(1:6, 8, 12)), #8-> 14- 21
             paste0("Q6_",c(1:8, 11)), #9 -> 22-30
             paste0("Q7_",c(2, 4:5, 7:8, 12:14))) #31-38

psych::describe(
  mydata[, use.var]
)

      vars   n  mean   sd median trimmed  mad min max range  skew kurtosis   se
Q4_1     1 312 -0.62 0.85   -1.0   -0.63 1.48  -2   2     4  0.28     0.06 0.05
Q4_2     2 312 -0.80 0.78   -1.0   -0.82 0.00  -2   2     4  0.64     1.07 0.04
Q4_3     3 312 -0.54 0.85   -1.0   -0.54 1.48  -2   2     4  0.35     0.47 0.05
Q4_4     4 312 -0.47 0.85    0.0   -0.46 1.48  -2   2     4 -0.01     0.12 0.05
Q4_5     5 312 -0.75 0.87   -1.0   -0.81 1.48  -2   2     4  0.61     0.32 0.05
Q4_8     6 312 -0.81 0.85   -1.0   -0.86 1.48  -2   2     4  0.50     0.16 0.05
Q4_9     7 312 -0.61 0.97   -1.0   -0.66 1.48  -2   2     4  0.45    -0.29 0.05
Q4_10    8 312 -0.46 0.80    0.0   -0.41 0.00  -2   2     4 -0.19     0.30 0.05
Q4_11    9 312 -0.52 0.95   -1.0   -0.56 1.48  -2   2     4  0.26    -0.26 0.05
Q4_15   10 312 -0.71 0.88   -1.0   -0.75 1.48  -2   2     4  0.34    -0.32 0.05
Q4_16   11 312 -0.67 0.93   -1.0   -0.72 1.48  -2   2     4  0.23    -0.50 0.05
Q4_17   12 312 -0.90 0.93   -1.0   -0.99 1.48  -2   2     4  0.53    -0.47 0.05
Q4_18   13 312 -0.72 0.79   -1.0   -0.74 0.00  -2   2     4  0.49     0.33 0.04
Q5_1    14 312 -0.47 0.95   -1.0   -0.49 1.48  -2   2     4  0.19    -0.49 0.05
Q5_2    15 312 -0.04 1.01    0.0    0.01 1.48  -2   2     4 -0.20    -0.49 0.06
Q5_3    16 312 -0.41 1.04    0.0   -0.43 1.48  -2   2     4  0.26    -0.52 0.06
Q5_4    17 312  0.46 1.10    1.0    0.55 0.00  -2   2     4 -0.80    -0.15 0.06
Q5_5    18 312  0.45 1.06    1.0    0.52 0.00  -2   2     4 -0.78    -0.16 0.06
Q5_6    19 312 -0.15 0.92    0.0   -0.14 1.48  -2   2     4  0.03    -0.07 0.05
Q5_8    20 312 -0.16 1.07    0.0   -0.13 1.48  -2   2     4 -0.09    -0.66 0.06
Q5_12   21 312 -0.20 1.01    0.0   -0.18 1.48  -2   2     4 -0.10    -0.29 0.06
Q6_1    22 312 -1.32 0.86   -1.5   -1.48 0.74  -2   2     4  1.52     2.55 0.05
Q6_2    23 312 -0.96 0.91   -1.0   -1.07 0.00  -2   2     4  0.98     0.92 0.05
Q6_3    24 312 -1.01 0.92   -1.0   -1.13 1.48  -2   2     4  1.03     1.03 0.05
Q6_4    25 312 -0.89 0.94   -1.0   -0.99 1.48  -2   2     4  0.84     0.64 0.05
Q6_5    26 312 -0.61 1.10   -1.0   -0.69 1.48  -2   2     4  0.57    -0.45 0.06
Q6_6    27 312 -1.18 0.79   -1.0   -1.29 0.00  -2   2     4  1.08     1.68 0.04
Q6_7    28 312 -0.89 0.88   -1.0   -0.95 1.48  -2   2     4  0.61     0.19 0.05
Q6_8    29 312 -0.85 0.83   -1.0   -0.90 0.00  -2   2     4  0.70     0.77 0.05
Q6_11   30 312 -0.31 0.98    0.0   -0.30 1.48  -2   2     4 -0.11    -0.29 0.06
Q7_2    31 312 -0.35 0.89    0.0   -0.33 0.00  -2   2     4 -0.35    -0.09 0.05
Q7_4    32 312 -0.21 0.94    0.0   -0.18 1.48  -2   2     4 -0.07    -0.15 0.05
Q7_5    33 312 -0.21 0.94    0.0   -0.19 0.00  -2   2     4 -0.14     0.12 0.05
Q7_7    34 312  0.57 1.07    1.0    0.66 0.00  -2   2     4 -0.86     0.08 0.06
Q7_8    35 312 -0.19 0.94    0.0   -0.16 0.00  -2   2     4 -0.07     0.03 0.05
Q7_12   36 312  0.38 1.07    1.0    0.44 1.48  -2   2     4 -0.55    -0.17 0.06
Q7_13   37 312  0.49 1.11    1.0    0.56 1.48  -2   2     4 -0.50    -0.42 0.06
Q7_14   38 312  0.56 1.04    1.0    0.64 1.48  -2   2     4 -0.69     0.00 0.06

CFA

The hypothesized four-factor solution is shown below.

The above model can be convert to code using the below model.

mod1 <- "
EL =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12
IN =~ Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN
"

mod1.2 <- "
EL =~ y1 + y2 + y3 + y4 + y5 + y6 + y7 + y8 + y9 + y10 + y11 + y12 + y13
SC =~ y14 + y15 + y16 + y17 + y18 + y19 + y20 + y21
IN =~ y22 + y23 + y24 + y25 + y26 + y27 + y28 + y29 + y30
EN =~ y31 + y32 + y33 + y34 + y35 + y36 + y37 + y38

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN
"

Maximum Likelihood

Initial Model

fit1 <- lavaan::sem(mod1, data=mydata, estimator="MLM")
summary(fit1, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 62 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         82
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                              1999.775    1448.633
  Degrees of freedom                               659         659
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.380
       Satorra-Bentler correction                                 

Model Test Baseline Model:

  Test statistic                              8479.132    5614.687
  Degrees of freedom                               703         703
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.510

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.828       0.839
  Tucker-Lewis Index (TLI)                       0.816       0.828
                                                                  
  Robust Comparative Fit Index (CFI)                         0.853
  Robust Tucker-Lewis Index (TLI)                            0.843

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)             -12758.826  -12758.826
  Loglikelihood unrestricted model (H1)     -11758.939  -11758.939
                                                                  
  Akaike (AIC)                               25681.652   25681.652
  Bayesian (BIC)                             25988.578   25988.578
  Sample-size adjusted Bayesian (BIC)        25728.502   25728.502

Root Mean Square Error of Approximation:

  RMSEA                                          0.081       0.062
  90 Percent confidence interval - lower         0.077       0.058
  90 Percent confidence interval - upper         0.085       0.066
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                               0.073
  90 Percent confidence interval - lower                     0.068
  90 Percent confidence interval - upper                     0.078

Standardized Root Mean Square Residual:

  SRMR                                           0.080       0.080

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_1              1.000                               0.663    0.779
    Q4_2              0.898    0.058   15.367    0.000    0.595    0.761
    Q4_3              1.027    0.051   20.126    0.000    0.680    0.804
    Q4_4              1.036    0.054   19.336    0.000    0.686    0.810
    Q4_5              0.986    0.070   14.139    0.000    0.653    0.751
    Q4_8              0.927    0.065   14.179    0.000    0.614    0.720
    Q4_9              0.969    0.072   13.461    0.000    0.642    0.666
    Q4_10             0.928    0.059   15.844    0.000    0.615    0.769
    Q4_11             1.074    0.063   17.014    0.000    0.712    0.749
    Q4_15             0.958    0.061   15.583    0.000    0.635    0.719
    Q4_16             0.937    0.076   12.297    0.000    0.621    0.668
    Q4_17             0.837    0.081   10.341    0.000    0.555    0.597
    Q4_18             0.972    0.056   17.259    0.000    0.644    0.816
  SC =~                                                                 
    Q5_1              1.000                               0.547    0.575
    Q5_2              1.144    0.112   10.236    0.000    0.625    0.619
    Q5_3              1.250    0.122   10.266    0.000    0.683    0.657
    Q5_4              1.593    0.164    9.693    0.000    0.871    0.792
    Q5_5              1.548    0.151   10.220    0.000    0.846    0.800
    Q5_6              1.311    0.121   10.836    0.000    0.716    0.779
    Q5_8              1.527    0.147   10.411    0.000    0.835    0.780
    Q5_12             1.111    0.116    9.556    0.000    0.607    0.600
  IN =~                                                                 
    Q6_1              1.000                               0.586    0.686
    Q6_2              1.218    0.090   13.533    0.000    0.714    0.786
    Q6_3              1.258    0.103   12.216    0.000    0.738    0.799
    Q6_4              1.237    0.106   11.622    0.000    0.725    0.776
    Q6_5              0.855    0.119    7.190    0.000    0.501    0.456
    Q6_6              1.051    0.103   10.186    0.000    0.616    0.784
    Q6_7              1.227    0.112   10.925    0.000    0.719    0.822
    Q6_8              1.165    0.106   10.988    0.000    0.683    0.820
    Q6_11             1.030    0.121    8.506    0.000    0.604    0.619
  EN =~                                                                 
    Q7_2              1.000                               0.652    0.736
    Q7_4              0.927    0.069   13.499    0.000    0.605    0.642
    Q7_5              1.078    0.077   13.945    0.000    0.703    0.747
    Q7_7              1.150    0.105   10.923    0.000    0.750    0.704
    Q7_8              1.106    0.081   13.616    0.000    0.721    0.771
    Q7_12             1.085    0.106   10.239    0.000    0.708    0.665
    Q7_13             0.637    0.125    5.075    0.000    0.415    0.376
    Q7_14             1.020    0.108    9.463    0.000    0.666    0.639

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.205    0.040    5.123    0.000    0.566    0.566
    IN                0.268    0.043    6.216    0.000    0.689    0.689
    EN                0.306    0.045    6.788    0.000    0.707    0.707
  SC ~~                                                                 
    IN                0.169    0.034    5.002    0.000    0.528    0.528
    EN                0.275    0.043    6.357    0.000    0.771    0.771
  IN ~~                                                                 
    EN                0.257    0.042    6.112    0.000    0.671    0.671

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.439    0.060    7.309    0.000    1.000    1.000
    SC                0.299    0.057    5.252    0.000    1.000    1.000
    IN                0.344    0.066    5.207    0.000    1.000    1.000
    EN                0.426    0.062    6.838    0.000    1.000    1.000
   .Q4_1              0.284    0.032    8.766    0.000    0.284    0.393
   .Q4_2              0.258    0.024   10.671    0.000    0.258    0.421
   .Q4_3              0.254    0.028    8.991    0.000    0.254    0.354
   .Q4_4              0.246    0.023   10.568    0.000    0.246    0.343
   .Q4_5              0.330    0.042    7.928    0.000    0.330    0.436
   .Q4_8              0.351    0.049    7.182    0.000    0.351    0.482
   .Q4_9              0.519    0.047   11.144    0.000    0.519    0.557
   .Q4_10             0.261    0.025   10.523    0.000    0.261    0.409
   .Q4_11             0.397    0.039   10.268    0.000    0.397    0.439
   .Q4_15             0.376    0.036   10.382    0.000    0.376    0.482
   .Q4_16             0.478    0.041   11.732    0.000    0.478    0.553
   .Q4_17             0.555    0.051   10.956    0.000    0.555    0.643
   .Q4_18             0.208    0.021    9.942    0.000    0.208    0.334
   .Q5_1              0.604    0.049   12.256    0.000    0.604    0.669
   .Q5_2              0.630    0.058   10.789    0.000    0.630    0.617
   .Q5_3              0.614    0.054   11.337    0.000    0.614    0.568
   .Q5_4              0.451    0.047    9.586    0.000    0.451    0.373
   .Q5_5              0.403    0.052    7.747    0.000    0.403    0.360
   .Q5_6              0.333    0.035    9.624    0.000    0.333    0.393
   .Q5_8              0.448    0.061    7.364    0.000    0.448    0.392
   .Q5_12             0.654    0.067    9.699    0.000    0.654    0.640
   .Q6_1              0.387    0.064    6.062    0.000    0.387    0.529
   .Q6_2              0.315    0.040    7.808    0.000    0.315    0.382
   .Q6_3              0.308    0.040    7.624    0.000    0.308    0.362
   .Q6_4              0.347    0.047    7.445    0.000    0.347    0.397
   .Q6_5              0.955    0.086   11.116    0.000    0.955    0.792
   .Q6_6              0.238    0.027    8.758    0.000    0.238    0.385
   .Q6_7              0.249    0.027    9.142    0.000    0.249    0.325
   .Q6_8              0.228    0.029    7.853    0.000    0.228    0.328
   .Q6_11             0.587    0.053   11.066    0.000    0.587    0.617
   .Q7_2              0.360    0.039    9.197    0.000    0.360    0.459
   .Q7_4              0.521    0.051   10.141    0.000    0.521    0.587
   .Q7_5              0.392    0.047    8.255    0.000    0.392    0.442
   .Q7_7              0.574    0.054   10.600    0.000    0.574    0.505
   .Q7_8              0.355    0.043    8.219    0.000    0.355    0.406
   .Q7_12             0.633    0.067    9.385    0.000    0.633    0.558
   .Q7_13             1.045    0.082   12.716    0.000    1.045    0.858
   .Q7_14             0.643    0.060   10.756    0.000    0.643    0.592

Local Fit Assessment

# Residual Analysis
out <- residuals(fit1, type="cor.bollen")
kable(out[[2]], format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	Q4_1	Q4_2	Q4_3	Q4_4	Q4_5	Q4_8	Q4_9	Q4_10	Q4_11	Q4_15	Q4_16	Q4_17	Q4_18	Q5_1	Q5_2	Q5_3	Q5_4	Q5_5	Q5_6	Q5_8	Q5_12	Q6_1	Q6_2	Q6_3	Q6_4	Q6_5	Q6_6	Q6_7	Q6_8	Q6_11	Q7_2	Q7_4	Q7_5	Q7_7	Q7_8	Q7_12	Q7_13	Q7_14
Q4_1	0.000	0.066	0.094	0.041	-0.075	-0.089	-0.069	0.030	0.000	-0.035	0.000	-0.033	-0.004	0.149	0.007	0.049	-0.066	-0.042	0.029	-0.049	0.076	0.011	-0.034	-0.067	-0.082	0.045	-0.019	-0.012	-0.044	0.154	-0.014	0.069	-0.057	-0.054	0.007	-0.066	0.050	-0.047
Q4_2	0.066	0.000	0.064	0.006	0.013	0.013	-0.074	-0.052	-0.023	-0.013	-0.069	-0.061	0.060	0.149	-0.045	0.020	-0.162	-0.153	-0.005	-0.104	0.025	-0.022	-0.023	-0.062	-0.064	0.041	0.001	0.005	-0.014	0.108	-0.056	-0.001	-0.023	-0.131	-0.045	-0.081	0.009	-0.077
Q4_3	0.094	0.064	0.000	0.083	-0.050	-0.064	-0.088	0.000	-0.033	-0.024	0.016	-0.076	0.002	0.184	-0.038	0.040	-0.134	-0.104	-0.034	-0.069	0.088	-0.010	-0.063	-0.086	-0.061	0.021	0.021	-0.033	-0.028	0.166	-0.003	0.026	-0.090	-0.078	-0.042	-0.005	0.045	-0.023
Q4_4	0.041	0.006	0.083	0.000	-0.007	-0.005	-0.049	0.038	0.011	-0.067	-0.065	-0.060	-0.021	0.100	-0.041	0.023	-0.097	-0.054	0.054	-0.011	0.085	-0.100	-0.041	-0.073	-0.053	0.016	0.020	-0.029	-0.055	0.210	0.079	0.104	0.008	-0.029	0.055	-0.050	-0.015	-0.019
Q4_5	-0.075	0.013	-0.050	-0.007	0.000	0.123	0.041	0.005	0.024	0.008	-0.048	0.038	-0.002	0.149	0.004	0.112	-0.106	-0.099	0.068	0.055	0.099	-0.029	0.017	-0.044	-0.080	0.032	0.017	0.052	-0.030	0.148	0.059	-0.010	-0.019	-0.023	0.037	-0.122	-0.153	-0.036
Q4_8	-0.089	0.013	-0.064	-0.005	0.123	0.000	0.102	-0.010	-0.012	0.031	-0.021	-0.012	-0.016	0.151	-0.001	0.085	-0.099	-0.046	0.049	0.048	0.114	-0.013	-0.037	-0.029	0.008	0.069	0.068	0.084	0.031	0.101	0.068	0.006	0.041	-0.086	0.093	-0.063	-0.054	-0.042
Q4_9	-0.069	-0.074	-0.088	-0.049	0.041	0.102	0.000	0.013	0.062	0.059	-0.048	0.022	0.030	0.208	0.077	0.098	-0.042	-0.014	0.052	0.015	0.208	0.033	0.010	-0.026	-0.009	0.096	-0.003	0.075	-0.033	0.136	0.191	0.041	0.056	-0.019	0.091	0.118	0.056	0.006
Q4_10	0.030	-0.052	0.000	0.038	0.005	-0.010	0.013	0.000	-0.009	-0.025	0.028	-0.029	-0.036	0.109	0.037	0.018	-0.047	-0.023	0.034	0.011	0.203	-0.020	-0.013	-0.041	-0.070	0.024	0.028	0.069	-0.025	0.233	0.096	0.061	0.025	0.024	0.063	0.017	0.001	0.085
Q4_11	0.000	-0.023	-0.033	0.011	0.024	-0.012	0.062	-0.009	0.000	-0.057	-0.017	0.038	-0.034	0.241	0.049	0.097	-0.109	-0.059	0.035	0.002	0.180	0.032	-0.011	-0.025	-0.080	0.132	0.064	0.120	0.079	0.193	0.145	0.086	0.181	0.081	0.139	0.064	0.031	-0.007
Q4_15	-0.035	-0.013	-0.024	-0.067	0.008	0.031	0.059	-0.025	-0.057	0.000	0.154	0.044	0.042	0.189	0.071	0.129	-0.045	-0.018	0.022	0.017	0.219	0.036	-0.010	-0.032	0.008	0.085	-0.020	0.068	-0.023	0.153	-0.036	-0.050	-0.049	-0.096	-0.054	-0.004	-0.025	0.053
Q4_16	0.000	-0.069	0.016	-0.065	-0.048	-0.021	-0.048	0.028	-0.017	0.154	0.000	0.110	0.016	0.158	0.064	0.118	-0.013	0.011	0.049	0.035	0.259	0.077	-0.038	-0.070	-0.012	0.089	-0.014	0.033	-0.026	0.176	-0.010	0.027	-0.029	-0.032	0.039	0.005	0.006	-0.012
Q4_17	-0.033	-0.061	-0.076	-0.060	0.038	-0.012	0.022	-0.029	0.038	0.044	0.110	0.000	0.067	0.014	-0.003	-0.025	-0.056	-0.073	-0.032	-0.039	0.131	-0.001	-0.021	0.004	-0.003	0.055	0.092	0.098	0.020	0.128	0.085	0.009	0.031	-0.016	0.027	-0.052	-0.046	-0.051
Q4_18	-0.004	0.060	0.002	-0.021	-0.002	-0.016	0.030	-0.036	-0.034	0.042	0.016	0.067	0.000	0.131	0.030	0.017	-0.156	-0.111	0.011	-0.058	0.140	-0.036	-0.048	-0.082	-0.090	0.074	0.002	0.069	-0.004	0.113	0.012	0.020	-0.032	-0.165	-0.067	-0.085	-0.071	-0.089
Q5_1	0.149	0.149	0.184	0.100	0.149	0.151	0.208	0.109	0.241	0.189	0.158	0.014	0.131	0.000	0.164	0.095	-0.073	-0.091	-0.046	-0.043	0.029	0.102	0.105	0.104	0.129	0.073	0.144	0.146	0.143	0.258	0.111	0.081	0.150	0.065	0.057	0.112	0.041	0.054
Q5_2	0.007	-0.045	-0.038	-0.041	0.004	-0.001	0.077	0.037	0.049	0.071	0.064	-0.003	0.030	0.164	0.000	0.136	-0.005	-0.012	-0.051	-0.077	-0.012	-0.010	0.049	0.007	0.104	0.042	0.085	0.019	0.048	0.207	0.084	-0.016	-0.025	-0.037	-0.115	0.041	0.000	0.092
Q5_3	0.049	0.020	0.040	0.023	0.112	0.085	0.098	0.018	0.097	0.129	0.118	-0.025	0.017	0.095	0.136	0.000	-0.032	-0.053	0.017	-0.008	-0.037	0.077	0.052	-0.030	0.080	0.124	-0.014	0.029	-0.009	0.147	0.011	-0.041	0.014	-0.035	-0.053	-0.049	-0.088	0.020
Q5_4	-0.066	-0.162	-0.134	-0.097	-0.106	-0.099	-0.042	-0.047	-0.109	-0.045	-0.013	-0.056	-0.156	-0.073	-0.005	-0.032	0.000	0.164	-0.041	0.002	-0.083	-0.141	-0.106	-0.136	-0.043	0.053	-0.090	-0.054	-0.140	0.155	-0.060	-0.040	-0.079	0.038	-0.120	0.012	-0.012	0.094
Q5_5	-0.042	-0.153	-0.104	-0.054	-0.099	-0.046	-0.014	-0.023	-0.059	-0.018	0.011	-0.073	-0.111	-0.091	-0.012	-0.053	0.164	0.000	-0.009	-0.015	-0.080	-0.116	-0.116	-0.148	-0.050	0.005	-0.105	-0.094	-0.094	0.145	-0.007	-0.057	-0.070	-0.010	-0.109	0.041	0.022	0.126
Q5_6	0.029	-0.005	-0.034	0.054	0.068	0.049	0.052	0.034	0.035	0.022	0.049	-0.032	0.011	-0.046	-0.051	0.017	-0.041	-0.009	0.000	0.078	0.007	-0.066	-0.020	-0.051	0.009	0.080	0.039	0.017	-0.023	0.225	0.004	0.044	0.010	-0.012	0.052	-0.072	-0.111	0.016
Q5_8	-0.049	-0.104	-0.069	-0.011	0.055	0.048	0.015	0.011	0.002	0.017	0.035	-0.039	-0.058	-0.043	-0.077	-0.008	0.002	-0.015	0.078	0.000	0.048	-0.064	-0.030	-0.113	0.024	0.033	0.005	0.026	-0.034	0.189	-0.021	-0.066	-0.024	-0.019	0.020	-0.074	-0.123	0.034
Q5_12	0.076	0.025	0.088	0.085	0.099	0.114	0.208	0.203	0.180	0.219	0.259	0.131	0.140	0.029	-0.012	-0.037	-0.083	-0.080	0.007	0.048	0.000	0.070	0.127	0.068	0.102	0.184	0.170	0.286	0.152	0.298	0.123	0.113	0.122	0.093	0.144	0.089	0.059	0.128
Q6_1	0.011	-0.022	-0.010	-0.100	-0.029	-0.013	0.033	-0.020	0.032	0.036	0.077	-0.001	-0.036	0.102	-0.010	0.077	-0.141	-0.116	-0.066	-0.064	0.070	0.000	0.132	0.071	0.037	-0.005	-0.033	-0.040	-0.038	-0.125	-0.022	-0.082	-0.103	-0.216	-0.129	-0.076	0.066	-0.150
Q6_2	-0.034	-0.023	-0.063	-0.041	0.017	-0.037	0.010	-0.013	-0.011	-0.010	-0.038	-0.021	-0.048	0.105	0.049	0.052	-0.106	-0.116	-0.020	-0.030	0.127	0.132	0.000	0.053	0.117	-0.052	-0.066	-0.084	-0.001	-0.051	-0.006	0.062	-0.030	-0.126	-0.110	-0.090	-0.048	-0.103
Q6_3	-0.067	-0.062	-0.086	-0.073	-0.044	-0.029	-0.026	-0.041	-0.025	-0.032	-0.070	0.004	-0.082	0.104	0.007	-0.030	-0.136	-0.148	-0.051	-0.113	0.068	0.071	0.053	0.000	0.031	-0.030	-0.009	0.011	-0.029	-0.052	-0.006	0.001	-0.037	-0.139	-0.073	-0.106	-0.057	-0.082
Q6_4	-0.082	-0.064	-0.061	-0.053	-0.080	0.008	-0.009	-0.070	-0.080	0.008	-0.012	-0.003	-0.090	0.129	0.104	0.080	-0.043	-0.050	0.009	0.024	0.102	0.037	0.117	0.031	0.000	-0.127	-0.044	-0.069	0.042	-0.039	0.035	0.016	-0.020	-0.100	-0.089	-0.021	0.016	-0.046
Q6_5	0.045	0.041	0.021	0.016	0.032	0.069	0.096	0.024	0.132	0.085	0.089	0.055	0.074	0.073	0.042	0.124	0.053	0.005	0.080	0.033	0.184	-0.005	-0.052	-0.030	-0.127	0.000	0.044	0.086	-0.023	0.070	0.009	0.030	0.042	0.017	0.072	0.042	0.072	0.019
Q6_6	-0.019	0.001	0.021	0.020	0.017	0.068	-0.003	0.028	0.064	-0.020	-0.014	0.092	0.002	0.144	0.085	-0.014	-0.090	-0.105	0.039	0.005	0.170	-0.033	-0.066	-0.009	-0.044	0.044	0.000	0.071	0.003	0.035	0.142	0.051	0.096	-0.086	0.015	-0.059	-0.016	-0.031
Q6_7	-0.012	0.005	-0.033	-0.029	0.052	0.084	0.075	0.069	0.120	0.068	0.033	0.098	0.069	0.146	0.019	0.029	-0.054	-0.094	0.017	0.026	0.286	-0.040	-0.084	0.011	-0.069	0.086	0.071	0.000	0.024	0.002	0.104	0.060	0.123	-0.071	0.043	-0.010	0.014	-0.024
Q6_8	-0.044	-0.014	-0.028	-0.055	-0.030	0.031	-0.033	-0.025	0.079	-0.023	-0.026	0.020	-0.004	0.143	0.048	-0.009	-0.140	-0.094	-0.023	-0.034	0.152	-0.038	-0.001	-0.029	0.042	-0.023	0.003	0.024	0.000	-0.023	0.107	0.134	0.122	-0.095	0.012	-0.020	0.003	-0.070
Q6_11	0.154	0.108	0.166	0.210	0.148	0.101	0.136	0.233	0.193	0.153	0.176	0.128	0.113	0.258	0.207	0.147	0.155	0.145	0.225	0.189	0.298	-0.125	-0.051	-0.052	-0.039	0.070	0.035	0.002	-0.023	0.000	0.250	0.243	0.189	0.217	0.217	0.199	0.076	0.241
Q7_2	-0.014	-0.056	-0.003	0.079	0.059	0.068	0.191	0.096	0.145	-0.036	-0.010	0.085	0.012	0.111	0.084	0.011	-0.060	-0.007	0.004	-0.021	0.123	-0.022	-0.006	-0.006	0.035	0.009	0.142	0.104	0.107	0.250	0.000	0.066	0.024	-0.038	0.007	-0.075	-0.070	-0.082
Q7_4	0.069	-0.001	0.026	0.104	-0.010	0.006	0.041	0.061	0.086	-0.050	0.027	0.009	0.020	0.081	-0.016	-0.041	-0.040	-0.057	0.044	-0.066	0.113	-0.082	0.062	0.001	0.016	0.030	0.051	0.060	0.134	0.243	0.066	0.000	0.083	-0.021	-0.006	-0.105	-0.146	-0.082
Q7_5	-0.057	-0.023	-0.090	0.008	-0.019	0.041	0.056	0.025	0.181	-0.049	-0.029	0.031	-0.032	0.150	-0.025	0.014	-0.079	-0.070	0.010	-0.024	0.122	-0.103	-0.030	-0.037	-0.020	0.042	0.096	0.123	0.122	0.189	0.024	0.083	0.000	-0.044	0.041	-0.054	-0.074	-0.064
Q7_7	-0.054	-0.131	-0.078	-0.029	-0.023	-0.086	-0.019	0.024	0.081	-0.096	-0.032	-0.016	-0.165	0.065	-0.037	-0.035	0.038	-0.010	-0.012	-0.019	0.093	-0.216	-0.126	-0.139	-0.100	0.017	-0.086	-0.071	-0.095	0.217	-0.038	-0.021	-0.044	0.000	0.065	0.090	0.072	0.032
Q7_8	0.007	-0.045	-0.042	0.055	0.037	0.093	0.091	0.063	0.139	-0.054	0.039	0.027	-0.067	0.057	-0.115	-0.053	-0.120	-0.109	0.052	0.020	0.144	-0.129	-0.110	-0.073	-0.089	0.072	0.015	0.043	0.012	0.217	0.007	-0.006	0.041	0.065	0.000	-0.039	-0.052	-0.044
Q7_12	-0.066	-0.081	-0.005	-0.050	-0.122	-0.063	0.118	0.017	0.064	-0.004	0.005	-0.052	-0.085	0.112	0.041	-0.049	0.012	0.041	-0.072	-0.074	0.089	-0.076	-0.090	-0.106	-0.021	0.042	-0.059	-0.010	-0.020	0.199	-0.075	-0.105	-0.054	0.090	-0.039	0.000	0.285	0.203
Q7_13	0.050	0.009	0.045	-0.015	-0.153	-0.054	0.056	0.001	0.031	-0.025	0.006	-0.046	-0.071	0.041	0.000	-0.088	-0.012	0.022	-0.111	-0.123	0.059	0.066	-0.048	-0.057	0.016	0.072	-0.016	0.014	0.003	0.076	-0.070	-0.146	-0.074	0.072	-0.052	0.285	0.000	0.132
Q7_14	-0.047	-0.077	-0.023	-0.019	-0.036	-0.042	0.006	0.085	-0.007	0.053	-0.012	-0.051	-0.089	0.054	0.092	0.020	0.094	0.126	0.016	0.034	0.128	-0.150	-0.103	-0.082	-0.046	0.019	-0.031	-0.024	-0.070	0.241	-0.082	-0.082	-0.064	0.032	-0.044	0.203	0.132	0.000

ggcorrplot(out[[2]], type = "lower")

# modification indices
kable(modindices(fit1, sort = TRUE), format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	lhs	op	rhs	mi	epc	sepc.lv	sepc.all	sepc.nox
673	Q5_4	~~	Q5_5	104.444	0.320	0.320	0.750	0.750
200	EN	=~	Q6_11	87.760	0.979	0.639	0.655	0.655
901	Q7_12	~~	Q7_13	59.183	0.374	0.374	0.460	0.460
133	SC	=~	Q6_11	54.268	0.768	0.420	0.431	0.431
103	EL	=~	Q6_11	47.455	0.698	0.462	0.474	0.474
902	Q7_12	~~	Q7_14	46.989	0.272	0.272	0.426	0.426
785	Q6_2	~~	Q6_4	38.050	0.135	0.135	0.407	0.407
191	EN	=~	Q5_12	37.335	0.848	0.553	0.547	0.547
768	Q6_1	~~	Q6_2	33.575	0.128	0.128	0.368	0.368
162	IN	=~	Q5_12	31.430	0.574	0.336	0.333	0.333
498	Q4_15	~~	Q4_16	31.056	0.142	0.142	0.334	0.334
87	EL	=~	Q5_1	29.296	0.480	0.318	0.334	0.334
343	Q4_5	~~	Q4_8	26.228	0.106	0.106	0.312	0.312
788	Q6_2	~~	Q6_7	25.780	-0.097	-0.097	-0.348	-0.348
94	EL	=~	Q5_12	25.349	0.466	0.309	0.306	0.306
179	EN	=~	Q4_11	24.748	0.458	0.298	0.314	0.314
202	Q4_1	~~	Q4_3	24.679	0.085	0.085	0.315	0.315
90	EL	=~	Q5_4	24.155	-0.409	-0.271	-0.247	-0.247
184	EN	=~	Q5_1	23.646	0.645	0.421	0.443	0.443
604	Q5_1	~~	Q5_2	23.110	0.179	0.179	0.290	0.290
274	Q4_3	~~	Q4_4	23.034	0.077	0.077	0.309	0.309
757	Q5_12	~~	Q6_7	22.735	0.121	0.121	0.299	0.299
155	IN	=~	Q5_1	21.778	0.457	0.268	0.282	0.282
714	Q5_6	~~	Q5_8	19.366	0.120	0.120	0.311	0.311
628	Q5_2	~~	Q5_3	19.172	0.167	0.167	0.268	0.268
492	Q4_11	~~	Q7_5	18.959	0.107	0.107	0.272	0.272
813	Q6_4	~~	Q6_5	18.602	-0.151	-0.151	-0.263	-0.263
192	EN	=~	Q6_1	18.544	-0.370	-0.241	-0.282	-0.282
838	Q6_6	~~	Q6_7	18.181	0.071	0.071	0.291	0.291
159	IN	=~	Q5_5	17.603	-0.367	-0.215	-0.203	-0.203
374	Q4_5	~~	Q7_13	17.010	-0.143	-0.143	-0.244	-0.244
775	Q6_1	~~	Q6_11	16.959	-0.118	-0.118	-0.248	-0.248
166	IN	=~	Q7_7	16.863	-0.492	-0.288	-0.271	-0.271
815	Q6_4	~~	Q6_7	16.484	-0.081	-0.081	-0.276	-0.276
158	IN	=~	Q5_4	15.815	-0.365	-0.214	-0.195	-0.195
205	Q4_1	~~	Q4_8	15.305	-0.076	-0.076	-0.241	-0.241
194	EN	=~	Q6_3	15.096	-0.312	-0.204	-0.220	-0.220
713	Q5_5	~~	Q7_14	14.782	0.125	0.125	0.246	0.246
647	Q5_2	~~	Q7_8	14.585	-0.114	-0.114	-0.240	-0.240
277	Q4_3	~~	Q4_9	14.569	-0.085	-0.085	-0.235	-0.235
887	Q7_4	~~	Q7_13	14.534	-0.167	-0.167	-0.227	-0.227
607	Q5_1	~~	Q5_5	14.025	-0.120	-0.120	-0.244	-0.244
376	Q4_8	~~	Q4_9	13.442	0.094	0.094	0.220	0.220
729	Q5_6	~~	Q7_8	13.101	0.082	0.082	0.239	0.239
431	Q4_9	~~	Q7_2	12.975	0.096	0.096	0.221	0.221
886	Q7_4	~~	Q7_12	12.765	-0.128	-0.128	-0.222	-0.222
91	EL	=~	Q5_5	12.697	-0.283	-0.187	-0.177	-0.177
787	Q6_2	~~	Q6_6	12.607	-0.064	-0.064	-0.235	-0.235
484	Q4_11	~~	Q6_4	12.428	-0.081	-0.081	-0.218	-0.218
204	Q4_1	~~	Q4_5	12.417	-0.067	-0.067	-0.219	-0.219
676	Q5_4	~~	Q5_12	12.012	-0.123	-0.123	-0.225	-0.225
141	SC	=~	Q7_14	11.980	0.579	0.317	0.304	0.304
127	SC	=~	Q6_3	11.835	-0.275	-0.150	-0.163	-0.163
903	Q7_13	~~	Q7_14	11.809	0.168	0.168	0.204	0.204
862	Q6_8	~~	Q7_5	11.787	0.067	0.067	0.224	0.224
696	Q5_5	~~	Q5_12	11.576	-0.115	-0.115	-0.223	-0.223
163	IN	=~	Q7_2	11.547	0.329	0.193	0.217	0.217
526	Q4_16	~~	Q4_17	11.430	0.103	0.103	0.199	0.199
895	Q7_7	~~	Q7_12	11.335	0.129	0.129	0.214	0.214
183	EN	=~	Q4_18	11.157	-0.228	-0.149	-0.189	-0.189
827	Q6_5	~~	Q6_7	10.998	0.101	0.101	0.207	0.207
373	Q4_5	~~	Q7_12	10.874	-0.092	-0.092	-0.201	-0.201
883	Q7_4	~~	Q7_5	10.691	0.095	0.095	0.211	0.211
535	Q4_16	~~	Q5_12	10.691	0.109	0.109	0.194	0.194
238	Q4_2	~~	Q4_3	10.668	0.053	0.053	0.206	0.206
656	Q5_3	~~	Q6_1	10.498	0.096	0.096	0.196	0.196
97	EL	=~	Q6_3	10.462	-0.252	-0.167	-0.181	-0.181
177	EN	=~	Q4_9	10.462	0.335	0.218	0.226	0.226
769	Q6_1	~~	Q6_3	10.405	0.071	0.071	0.206	0.206
747	Q5_8	~~	Q7_8	10.380	0.085	0.085	0.213	0.213
314	Q4_4	~~	Q4_15	10.221	-0.061	-0.061	-0.200	-0.200
525	Q4_15	~~	Q7_14	10.206	0.095	0.095	0.193	0.193
730	Q5_6	~~	Q7_12	10.202	-0.093	-0.093	-0.203	-0.203
875	Q6_11	~~	Q7_14	10.158	0.117	0.117	0.191	0.191
689	Q5_4	~~	Q7_7	10.142	0.105	0.105	0.206	0.206
248	Q4_2	~~	Q4_18	10.091	0.047	0.047	0.201	0.201
882	Q7_2	~~	Q7_14	10.002	-0.098	-0.098	-0.203	-0.203
599	Q4_18	~~	Q7_7	9.985	-0.069	-0.069	-0.199	-0.199
632	Q5_2	~~	Q5_8	9.929	-0.108	-0.108	-0.204	-0.204
201	Q4_1	~~	Q4_2	9.897	0.053	0.053	0.196	0.196
710	Q5_5	~~	Q7_8	9.890	-0.080	-0.080	-0.210	-0.210
871	Q6_11	~~	Q7_7	9.865	0.111	0.111	0.191	0.191
690	Q5_4	~~	Q7_8	9.651	-0.083	-0.083	-0.207	-0.207
193	EN	=~	Q6_2	9.568	-0.249	-0.162	-0.179	-0.179
172	EN	=~	Q4_2	9.565	-0.230	-0.150	-0.192	-0.192
187	EN	=~	Q5_4	9.408	-0.388	-0.253	-0.230	-0.230
282	Q4_3	~~	Q4_17	9.247	-0.070	-0.070	-0.185	-0.185
303	Q4_3	~~	Q7_5	9.046	-0.060	-0.060	-0.191	-0.191
894	Q7_7	~~	Q7_8	9.004	0.091	0.091	0.203	0.203
276	Q4_3	~~	Q4_8	8.920	-0.055	-0.055	-0.186	-0.186
880	Q7_2	~~	Q7_12	8.914	-0.092	-0.092	-0.193	-0.193
326	Q4_4	~~	Q6_1	8.897	-0.057	-0.057	-0.184	-0.184
436	Q4_9	~~	Q7_12	8.789	0.102	0.102	0.178	0.178
861	Q6_8	~~	Q7_4	8.765	0.065	0.065	0.187	0.187
784	Q6_2	~~	Q6_3	8.751	0.062	0.062	0.198	0.198
536	Q4_16	~~	Q6_1	8.698	0.076	0.076	0.176	0.176
357	Q4_5	~~	Q5_8	8.628	0.071	0.071	0.186	0.186
841	Q6_6	~~	Q7_2	8.609	0.055	0.055	0.187	0.187
782	Q6_1	~~	Q7_13	8.599	0.110	0.110	0.173	0.173
606	Q5_1	~~	Q5_4	8.574	-0.099	-0.099	-0.189	-0.189
113	SC	=~	Q4_2	8.548	-0.212	-0.116	-0.148	-0.148
605	Q5_1	~~	Q5_3	8.500	0.108	0.108	0.177	0.177
711	Q5_5	~~	Q7_12	8.416	0.094	0.094	0.187	0.187
404	Q4_8	~~	Q7_8	8.335	0.064	0.064	0.181	0.181
315	Q4_4	~~	Q4_16	8.275	-0.061	-0.061	-0.178	-0.178
242	Q4_2	~~	Q4_9	8.219	-0.064	-0.064	-0.174	-0.174
107	EL	=~	Q7_7	8.054	-0.316	-0.209	-0.196	-0.196
98	EL	=~	Q6_4	7.962	-0.230	-0.152	-0.163	-0.163
298	Q4_3	~~	Q6_7	7.929	-0.046	-0.046	-0.181	-0.181
206	Q4_1	~~	Q4_9	7.864	-0.066	-0.066	-0.171	-0.171
334	Q4_4	~~	Q6_11	7.781	0.065	0.065	0.170	0.170
693	Q5_4	~~	Q7_14	7.663	0.095	0.095	0.176	0.176
553	Q4_17	~~	Q4_18	7.620	0.058	0.058	0.169	0.169
731	Q5_6	~~	Q7_13	7.555	-0.100	-0.100	-0.169	-0.169
460	Q4_10	~~	Q6_11	7.540	0.065	0.065	0.165	0.165
468	Q4_10	~~	Q7_14	7.474	0.068	0.068	0.167	0.167
643	Q5_2	~~	Q7_2	7.423	0.080	0.080	0.169	0.169
749	Q5_8	~~	Q7_13	7.403	-0.115	-0.115	-0.167	-0.167
246	Q4_2	~~	Q4_16	7.315	-0.058	-0.058	-0.164	-0.164
473	Q4_11	~~	Q5_1	7.271	0.079	0.079	0.162	0.162
853	Q6_7	~~	Q7_5	7.182	0.055	0.055	0.175	0.175
332	Q4_4	~~	Q6_7	7.124	-0.043	-0.043	-0.172	-0.172
888	Q7_4	~~	Q7_14	7.123	-0.095	-0.095	-0.165	-0.165
593	Q4_18	~~	Q6_7	6.730	0.038	0.038	0.168	0.168
476	Q4_11	~~	Q5_4	6.657	-0.069	-0.069	-0.164	-0.164
178	EN	=~	Q4_10	6.602	0.193	0.126	0.157	0.157
876	Q7_2	~~	Q7_4	6.547	0.071	0.071	0.164	0.164
779	Q6_1	~~	Q7_7	6.374	-0.073	-0.073	-0.155	-0.155
893	Q7_5	~~	Q7_14	6.275	-0.081	-0.081	-0.162	-0.162
336	Q4_4	~~	Q7_4	6.242	0.055	0.055	0.154	0.154
622	Q5_1	~~	Q7_5	6.174	0.075	0.075	0.154	0.154
275	Q4_3	~~	Q4_5	6.154	-0.045	-0.045	-0.156	-0.156
101	EL	=~	Q6_7	6.153	0.177	0.117	0.134	0.134
816	Q6_4	~~	Q6_8	6.096	0.047	0.047	0.167	0.167
684	Q5_4	~~	Q6_8	6.022	-0.052	-0.052	-0.163	-0.163
307	Q4_3	~~	Q7_13	6.004	0.076	0.076	0.147	0.147
243	Q4_2	~~	Q4_10	5.948	-0.039	-0.039	-0.151	-0.151
316	Q4_4	~~	Q4_17	5.872	-0.055	-0.055	-0.148	-0.148
652	Q5_3	~~	Q5_5	5.841	-0.080	-0.080	-0.161	-0.161
104	EL	=~	Q7_2	5.829	0.217	0.144	0.162	0.162
674	Q5_4	~~	Q5_6	5.829	-0.067	-0.067	-0.173	-0.173
508	Q4_15	~~	Q5_12	5.793	0.071	0.071	0.144	0.144
822	Q6_4	~~	Q7_8	5.743	-0.054	-0.054	-0.155	-0.155
748	Q5_8	~~	Q7_12	5.733	-0.081	-0.081	-0.152	-0.152
164	IN	=~	Q7_4	5.725	0.266	0.156	0.166	0.166
488	Q4_11	~~	Q6_8	5.705	0.045	0.045	0.151	0.151
469	Q4_11	~~	Q4_15	5.549	-0.055	-0.055	-0.144	-0.144
284	Q4_3	~~	Q5_1	5.519	0.056	0.056	0.143	0.143
409	Q4_9	~~	Q4_11	5.511	0.064	0.064	0.142	0.142
198	EN	=~	Q6_7	5.500	0.172	0.112	0.128	0.128
814	Q6_4	~~	Q6_6	5.448	-0.044	-0.044	-0.154	-0.154
712	Q5_5	~~	Q7_13	5.420	0.094	0.094	0.145	0.145
554	Q4_17	~~	Q5_1	5.410	-0.079	-0.079	-0.137	-0.137
892	Q7_5	~~	Q7_13	5.371	-0.091	-0.091	-0.143	-0.143
150	IN	=~	Q4_11	5.287	0.221	0.130	0.137	0.137
355	Q4_5	~~	Q5_5	5.271	-0.054	-0.054	-0.147	-0.147
795	Q6_2	~~	Q7_8	5.220	-0.050	-0.050	-0.148	-0.148
188	EN	=~	Q5_5	5.062	-0.271	-0.177	-0.167	-0.167
754	Q5_12	~~	Q6_4	5.010	-0.065	-0.065	-0.137	-0.137
306	Q4_3	~~	Q7_12	4.994	0.055	0.055	0.138	0.138
236	Q4_1	~~	Q7_13	4.991	0.072	0.072	0.133	0.133
125	SC	=~	Q6_1	4.943	-0.191	-0.104	-0.122	-0.122
518	Q4_15	~~	Q7_2	4.910	-0.050	-0.050	-0.137	-0.137
203	Q4_1	~~	Q4_4	4.896	0.037	0.037	0.141	0.141
247	Q4_2	~~	Q4_17	4.861	-0.050	-0.050	-0.132	-0.132
519	Q4_15	~~	Q7_4	4.849	-0.059	-0.059	-0.133	-0.133
891	Q7_5	~~	Q7_12	4.788	-0.071	-0.071	-0.142	-0.142
792	Q6_2	~~	Q7_4	4.767	0.055	0.055	0.136	0.136
446	Q4_10	~~	Q5_3	4.732	-0.053	-0.053	-0.133	-0.133
311	Q4_4	~~	Q4_9	4.703	-0.048	-0.048	-0.134	-0.134
165	IN	=~	Q7_5	4.696	0.220	0.129	0.137	0.137
493	Q4_11	~~	Q7_7	4.676	0.064	0.064	0.133	0.133
522	Q4_15	~~	Q7_8	4.667	-0.050	-0.050	-0.136	-0.136
804	Q6_3	~~	Q6_11	4.649	-0.058	-0.058	-0.136	-0.136
122	SC	=~	Q4_16	4.573	0.207	0.113	0.122	0.122
89	EL	=~	Q5_3	4.510	0.193	0.128	0.123	0.123
778	Q6_1	~~	Q7_5	4.499	-0.051	-0.051	-0.132	-0.132
514	Q4_15	~~	Q6_6	4.497	-0.039	-0.039	-0.131	-0.131
881	Q7_2	~~	Q7_13	4.491	-0.080	-0.080	-0.130	-0.130
319	Q4_4	~~	Q5_2	4.470	-0.051	-0.051	-0.130	-0.130
410	Q4_9	~~	Q4_15	4.463	0.056	0.056	0.127	0.127
497	Q4_11	~~	Q7_14	4.429	-0.064	-0.064	-0.128	-0.128
389	Q4_8	~~	Q5_8	4.404	0.052	0.052	0.132	0.132
830	Q6_5	~~	Q7_2	4.389	-0.075	-0.075	-0.127	-0.127
890	Q7_5	~~	Q7_8	4.377	0.054	0.054	0.145	0.145
256	Q4_2	~~	Q5_12	4.369	-0.052	-0.052	-0.126	-0.126
360	Q4_5	~~	Q6_2	4.319	0.042	0.042	0.129	0.129
631	Q5_2	~~	Q5_6	4.297	-0.061	-0.061	-0.134	-0.134
266	Q4_2	~~	Q7_2	4.285	-0.039	-0.039	-0.129	-0.129
353	Q4_5	~~	Q5_3	4.273	0.057	0.057	0.126	0.126
896	Q7_7	~~	Q7_13	4.273	0.097	0.097	0.125	0.125
640	Q5_2	~~	Q6_7	4.272	-0.052	-0.052	-0.130	-0.130
487	Q4_11	~~	Q6_7	4.269	0.041	0.041	0.131	0.131
764	Q5_12	~~	Q7_8	4.259	0.062	0.062	0.129	0.129
790	Q6_2	~~	Q6_11	4.220	-0.055	-0.055	-0.128	-0.128
661	Q5_3	~~	Q6_6	4.210	-0.049	-0.049	-0.128	-0.128
99	EL	=~	Q6_5	4.204	0.260	0.173	0.157	0.157
173	EN	=~	Q4_3	4.202	-0.154	-0.100	-0.119	-0.119
500	Q4_15	~~	Q4_18	4.190	0.036	0.036	0.128	0.128
220	Q4_1	~~	Q5_12	4.179	-0.053	-0.053	-0.124	-0.124
399	Q4_8	~~	Q6_11	4.157	-0.055	-0.055	-0.121	-0.121
545	Q4_16	~~	Q7_2	4.134	-0.052	-0.052	-0.125	-0.125
325	Q4_4	~~	Q5_12	4.126	-0.050	-0.050	-0.124	-0.124
118	SC	=~	Q4_9	4.108	0.205	0.112	0.116	0.116
600	Q4_18	~~	Q7_8	4.007	-0.035	-0.035	-0.129	-0.129
312	Q4_4	~~	Q4_10	4.002	0.032	0.032	0.127	0.127
231	Q4_1	~~	Q7_4	3.981	0.047	0.047	0.122	0.122
736	Q5_8	~~	Q6_3	3.977	-0.048	-0.048	-0.130	-0.130
726	Q5_6	~~	Q7_4	3.973	0.052	0.052	0.126	0.126
691	Q5_4	~~	Q7_12	3.926	0.068	0.068	0.127	0.127
114	SC	=~	Q4_3	3.918	-0.145	-0.079	-0.093	-0.093
318	Q4_4	~~	Q5_1	3.888	-0.046	-0.046	-0.120	-0.120
703	Q5_5	~~	Q6_7	3.876	-0.042	-0.042	-0.131	-0.131
129	SC	=~	Q6_5	3.848	0.257	0.140	0.128	0.128
773	Q6_1	~~	Q6_7	3.838	-0.040	-0.040	-0.128	-0.128
444	Q4_10	~~	Q5_1	3.809	-0.047	-0.047	-0.118	-0.118
733	Q5_8	~~	Q5_12	3.780	0.068	0.068	0.125	0.125
867	Q6_8	~~	Q7_14	3.759	-0.047	-0.047	-0.123	-0.123
451	Q4_10	~~	Q5_12	3.715	0.048	0.048	0.116	0.116
429	Q4_9	~~	Q6_8	3.711	-0.041	-0.041	-0.120	-0.120
846	Q6_6	~~	Q7_12	3.703	-0.047	-0.047	-0.120	-0.120
503	Q4_15	~~	Q5_3	3.701	0.056	0.056	0.116	0.116
443	Q4_10	~~	Q4_18	3.691	-0.029	-0.029	-0.122	-0.122
732	Q5_6	~~	Q7_14	3.672	-0.056	-0.056	-0.121	-0.121
889	Q7_5	~~	Q7_7	3.633	-0.060	-0.060	-0.126	-0.126
232	Q4_1	~~	Q7_5	3.602	-0.040	-0.040	-0.120	-0.120
403	Q4_8	~~	Q7_7	3.567	-0.052	-0.052	-0.116	-0.116
170	IN	=~	Q7_14	3.531	-0.232	-0.136	-0.131	-0.131
843	Q6_6	~~	Q7_5	3.525	0.037	0.037	0.120	0.120
777	Q6_1	~~	Q7_4	3.521	-0.051	-0.051	-0.114	-0.114
774	Q6_1	~~	Q6_8	3.494	-0.036	-0.036	-0.121	-0.121
627	Q5_1	~~	Q7_14	3.457	-0.069	-0.069	-0.111	-0.111
348	Q4_5	~~	Q4_16	3.446	-0.045	-0.045	-0.112	-0.112
124	SC	=~	Q4_18	3.439	-0.124	-0.068	-0.086	-0.086
708	Q5_5	~~	Q7_5	3.437	-0.049	-0.049	-0.123	-0.123
580	Q4_18	~~	Q5_2	3.424	0.041	0.041	0.114	0.114
829	Q6_5	~~	Q6_11	3.395	0.081	0.081	0.108	0.108
156	IN	=~	Q5_2	3.317	0.184	0.108	0.107	0.107
900	Q7_8	~~	Q7_14	3.302	-0.057	-0.057	-0.119	-0.119
323	Q4_4	~~	Q5_6	3.293	0.033	0.033	0.117	0.117
138	SC	=~	Q7_8	3.282	-0.244	-0.133	-0.142	-0.142
221	Q4_1	~~	Q6_1	3.264	0.037	0.037	0.110	0.110
230	Q4_1	~~	Q7_2	3.248	-0.036	-0.036	-0.113	-0.113
786	Q6_2	~~	Q6_5	3.241	-0.060	-0.060	-0.110	-0.110
803	Q6_3	~~	Q6_8	3.199	-0.033	-0.033	-0.123	-0.123
249	Q4_2	~~	Q5_1	3.198	0.042	0.042	0.107	0.107
608	Q5_1	~~	Q5_6	3.155	-0.051	-0.051	-0.114	-0.114
567	Q4_17	~~	Q6_6	3.148	0.039	0.039	0.108	0.108
512	Q4_15	~~	Q6_4	3.135	0.039	0.039	0.109	0.109
472	Q4_11	~~	Q4_18	3.126	-0.032	-0.032	-0.112	-0.112
637	Q5_2	~~	Q6_4	3.126	0.051	0.051	0.109	0.109
485	Q4_11	~~	Q6_5	3.110	0.064	0.064	0.104	0.104
421	Q4_9	~~	Q5_12	3.083	0.061	0.061	0.104	0.104
657	Q5_3	~~	Q6_2	3.083	0.048	0.048	0.109	0.109
356	Q4_5	~~	Q5_6	3.049	0.037	0.037	0.110	0.110
688	Q5_4	~~	Q7_5	3.024	-0.048	-0.048	-0.114	-0.114
899	Q7_8	~~	Q7_13	2.970	-0.066	-0.066	-0.108	-0.108
898	Q7_8	~~	Q7_12	2.859	-0.053	-0.053	-0.112	-0.112
494	Q4_11	~~	Q7_8	2.849	0.040	0.040	0.107	0.107
799	Q6_3	~~	Q6_4	2.848	0.037	0.037	0.112	0.112
702	Q5_5	~~	Q6_6	2.848	-0.034	-0.034	-0.111	-0.111
571	Q4_17	~~	Q7_2	2.839	0.046	0.046	0.103	0.103
405	Q4_8	~~	Q7_12	2.831	-0.048	-0.048	-0.102	-0.102
744	Q5_8	~~	Q7_4	2.824	-0.051	-0.051	-0.106	-0.106
609	Q5_1	~~	Q5_8	2.798	-0.056	-0.056	-0.107	-0.107
279	Q4_3	~~	Q4_11	2.743	-0.033	-0.033	-0.104	-0.104
196	EN	=~	Q6_5	2.724	0.216	0.141	0.128	0.128
686	Q5_4	~~	Q7_2	2.686	-0.043	-0.043	-0.107	-0.107
878	Q7_2	~~	Q7_7	2.663	-0.049	-0.049	-0.107	-0.107
105	EL	=~	Q7_4	2.639	0.168	0.111	0.118	0.118
595	Q4_18	~~	Q6_11	2.637	-0.035	-0.035	-0.099	-0.099
96	EL	=~	Q6_2	2.592	-0.126	-0.083	-0.092	-0.092
392	Q4_8	~~	Q6_2	2.573	-0.033	-0.033	-0.099	-0.099
411	Q4_9	~~	Q4_16	2.567	-0.047	-0.047	-0.095	-0.095
254	Q4_2	~~	Q5_6	2.563	0.030	0.030	0.101	0.101
849	Q6_7	~~	Q6_8	2.548	0.027	0.027	0.113	0.113
770	Q6_1	~~	Q6_4	2.525	0.037	0.037	0.100	0.100
344	Q4_5	~~	Q4_9	2.487	0.039	0.039	0.095	0.095
227	Q4_1	~~	Q6_7	2.473	-0.027	-0.027	-0.100	-0.100
209	Q4_1	~~	Q4_15	2.455	-0.032	-0.032	-0.096	-0.096
464	Q4_10	~~	Q7_7	2.411	0.037	0.037	0.096	0.096
195	EN	=~	Q6_4	2.402	-0.130	-0.085	-0.091	-0.091
820	Q6_4	~~	Q7_5	2.385	-0.036	-0.036	-0.099	-0.099
826	Q6_5	~~	Q6_6	2.361	0.045	0.045	0.094	0.094
582	Q4_18	~~	Q5_4	2.343	-0.030	-0.030	-0.099	-0.099
305	Q4_3	~~	Q7_8	2.329	-0.029	-0.029	-0.098	-0.098
660	Q5_3	~~	Q6_5	2.326	0.069	0.069	0.090	0.090
362	Q4_5	~~	Q6_4	2.325	-0.032	-0.032	-0.094	-0.094
455	Q4_10	~~	Q6_4	2.324	-0.029	-0.029	-0.095	-0.095
817	Q6_4	~~	Q6_11	2.318	-0.043	-0.043	-0.095	-0.095
190	EN	=~	Q5_8	2.309	-0.190	-0.124	-0.116	-0.116
671	Q5_3	~~	Q7_13	2.305	-0.072	-0.072	-0.090	-0.090
523	Q4_15	~~	Q7_12	2.277	0.045	0.045	0.091	0.091
873	Q6_11	~~	Q7_12	2.274	0.055	0.055	0.091	0.091
659	Q5_3	~~	Q6_4	2.235	0.043	0.043	0.093	0.093
590	Q4_18	~~	Q6_4	2.217	-0.025	-0.025	-0.094	-0.094
109	EL	=~	Q7_12	2.216	-0.171	-0.113	-0.106	-0.106
216	Q4_1	~~	Q5_4	2.208	0.034	0.034	0.095	0.095
207	Q4_1	~~	Q4_10	2.199	0.025	0.025	0.093	0.093
568	Q4_17	~~	Q6_7	2.184	0.034	0.034	0.092	0.092
427	Q4_9	~~	Q6_6	2.183	-0.032	-0.032	-0.091	-0.091
219	Q4_1	~~	Q5_8	2.176	-0.034	-0.034	-0.094	-0.094
499	Q4_15	~~	Q4_17	2.164	0.040	0.040	0.087	0.087
168	IN	=~	Q7_12	2.159	-0.182	-0.107	-0.100	-0.100
556	Q4_17	~~	Q5_3	2.148	-0.051	-0.051	-0.087	-0.087
371	Q4_5	~~	Q7_7	2.136	0.039	0.039	0.090	0.090
783	Q6_1	~~	Q7_14	2.125	-0.044	-0.044	-0.088	-0.088
753	Q5_12	~~	Q6_3	2.124	-0.041	-0.041	-0.090	-0.090
386	Q4_8	~~	Q5_4	2.124	-0.037	-0.037	-0.092	-0.092
772	Q6_1	~~	Q6_6	2.108	-0.028	-0.028	-0.092	-0.092
121	SC	=~	Q4_15	2.107	0.126	0.069	0.078	0.078
140	SC	=~	Q7_13	2.106	-0.295	-0.161	-0.146	-0.146
863	Q6_8	~~	Q7_7	2.095	-0.034	-0.034	-0.093	-0.093
547	Q4_16	~~	Q7_5	2.084	-0.039	-0.039	-0.089	-0.089
651	Q5_3	~~	Q5_4	2.079	-0.050	-0.050	-0.096	-0.096
506	Q4_15	~~	Q5_6	2.073	-0.032	-0.032	-0.090	-0.090
477	Q4_11	~~	Q5_5	2.059	-0.037	-0.037	-0.092	-0.092
120	SC	=~	Q4_11	2.059	0.129	0.070	0.074	0.074
153	IN	=~	Q4_17	2.029	0.158	0.093	0.100	0.100
509	Q4_15	~~	Q6_1	2.028	0.033	0.033	0.086	0.086
870	Q6_11	~~	Q7_5	2.025	-0.042	-0.042	-0.088	-0.088
217	Q4_1	~~	Q5_5	1.984	0.031	0.031	0.091	0.091
372	Q4_5	~~	Q7_8	1.984	0.031	0.031	0.089	0.089
253	Q4_2	~~	Q5_5	1.982	-0.029	-0.029	-0.090	-0.090
340	Q4_4	~~	Q7_12	1.977	-0.034	-0.034	-0.087	-0.087
272	Q4_2	~~	Q7_13	1.957	0.043	0.043	0.083	0.083
646	Q5_2	~~	Q7_7	1.956	-0.051	-0.051	-0.086	-0.086
414	Q4_9	~~	Q5_1	1.951	0.046	0.046	0.083	0.083
650	Q5_2	~~	Q7_14	1.943	0.054	0.054	0.084	0.084
406	Q4_8	~~	Q7_13	1.924	-0.049	-0.049	-0.081	-0.081
145	IN	=~	Q4_4	1.924	-0.108	-0.063	-0.075	-0.075
297	Q4_3	~~	Q6_6	1.912	0.021	0.021	0.087	0.087
269	Q4_2	~~	Q7_7	1.910	-0.033	-0.033	-0.085	-0.085
557	Q4_17	~~	Q5_4	1.906	0.043	0.043	0.086	0.086
840	Q6_6	~~	Q6_11	1.903	0.032	0.032	0.086	0.086
855	Q6_7	~~	Q7_8	1.883	0.027	0.027	0.091	0.091
144	IN	=~	Q4_3	1.870	-0.107	-0.063	-0.074	-0.074
331	Q4_4	~~	Q6_6	1.859	0.021	0.021	0.086	0.086
721	Q5_6	~~	Q6_6	1.828	0.025	0.025	0.087	0.087
670	Q5_3	~~	Q7_12	1.819	-0.051	-0.051	-0.082	-0.082
860	Q6_8	~~	Q7_2	1.814	0.025	0.025	0.087	0.087
541	Q4_16	~~	Q6_6	1.810	-0.028	-0.028	-0.083	-0.083
349	Q4_5	~~	Q4_17	1.794	0.034	0.034	0.080	0.080
413	Q4_9	~~	Q4_18	1.792	0.027	0.027	0.083	0.083
354	Q4_5	~~	Q5_4	1.790	-0.033	-0.033	-0.085	-0.085
471	Q4_11	~~	Q4_17	1.786	0.038	0.038	0.080	0.080
639	Q5_2	~~	Q6_6	1.775	0.032	0.032	0.082	0.082
482	Q4_11	~~	Q6_2	1.768	-0.029	-0.029	-0.083	-0.083
126	SC	=~	Q6_2	1.763	-0.106	-0.058	-0.064	-0.064
681	Q5_4	~~	Q6_5	1.760	0.054	0.054	0.082	0.082
834	Q6_5	~~	Q7_8	1.757	0.048	0.048	0.082	0.082
664	Q5_3	~~	Q6_11	1.752	-0.048	-0.048	-0.079	-0.079
594	Q4_18	~~	Q6_8	1.735	0.019	0.019	0.085	0.085
255	Q4_2	~~	Q5_8	1.726	-0.028	-0.028	-0.083	-0.083
823	Q6_4	~~	Q7_12	1.721	0.038	0.038	0.082	0.082
561	Q4_17	~~	Q5_12	1.720	0.047	0.047	0.077	0.077
648	Q5_2	~~	Q7_12	1.682	0.050	0.050	0.079	0.079
432	Q4_9	~~	Q7_4	1.674	-0.040	-0.040	-0.077	-0.077
692	Q5_4	~~	Q7_13	1.674	0.055	0.055	0.080	0.080
396	Q4_8	~~	Q6_6	1.668	0.023	0.023	0.080	0.080
544	Q4_16	~~	Q6_11	1.643	0.040	0.040	0.076	0.076
563	Q4_17	~~	Q6_2	1.632	-0.033	-0.033	-0.078	-0.078
755	Q5_12	~~	Q6_5	1.624	0.059	0.059	0.075	0.075
358	Q4_5	~~	Q5_12	1.624	-0.036	-0.036	-0.077	-0.077
459	Q4_10	~~	Q6_8	1.620	-0.020	-0.020	-0.081	-0.081
394	Q4_8	~~	Q6_4	1.605	0.027	0.027	0.078	0.078
119	SC	=~	Q4_10	1.604	0.093	0.051	0.063	0.063
538	Q4_16	~~	Q6_3	1.602	-0.030	-0.030	-0.078	-0.078
157	IN	=~	Q5_3	1.588	0.127	0.074	0.071	0.071
780	Q6_1	~~	Q7_8	1.573	-0.029	-0.029	-0.079	-0.079
402	Q4_8	~~	Q7_5	1.571	0.029	0.029	0.078	0.078
368	Q4_5	~~	Q7_2	1.565	0.027	0.027	0.078	0.078
369	Q4_5	~~	Q7_4	1.564	-0.031	-0.031	-0.076	-0.076
268	Q4_2	~~	Q7_5	1.558	0.025	0.025	0.078	0.078
602	Q4_18	~~	Q7_13	1.541	-0.035	-0.035	-0.075	-0.075
317	Q4_4	~~	Q4_18	1.541	-0.018	-0.018	-0.081	-0.081
211	Q4_1	~~	Q4_17	1.525	-0.030	-0.030	-0.075	-0.075
516	Q4_15	~~	Q6_8	1.520	-0.023	-0.023	-0.078	-0.078
199	EN	=~	Q6_8	1.516	0.086	0.056	0.068	0.068
92	EL	=~	Q5_6	1.488	0.086	0.057	0.062	0.062
379	Q4_8	~~	Q4_15	1.475	0.027	0.027	0.074	0.074
397	Q4_8	~~	Q6_7	1.471	0.023	0.023	0.076	0.076
147	IN	=~	Q4_8	1.459	0.109	0.064	0.075	0.075
320	Q4_4	~~	Q5_3	1.454	-0.029	-0.029	-0.075	-0.075
663	Q5_3	~~	Q6_8	1.453	-0.029	-0.029	-0.076	-0.076
339	Q4_4	~~	Q7_8	1.418	0.023	0.023	0.077	0.077
197	EN	=~	Q6_6	1.411	0.083	0.054	0.069	0.069
401	Q4_8	~~	Q7_4	1.405	-0.031	-0.031	-0.072	-0.072
520	Q4_15	~~	Q7_5	1.405	-0.028	-0.028	-0.074	-0.074
458	Q4_10	~~	Q6_7	1.397	0.019	0.019	0.075	0.075
180	EN	=~	Q4_15	1.393	-0.105	-0.068	-0.078	-0.078
655	Q5_3	~~	Q5_12	1.391	-0.046	-0.046	-0.072	-0.072
333	Q4_4	~~	Q6_8	1.371	-0.018	-0.018	-0.075	-0.075
615	Q5_1	~~	Q6_5	1.370	-0.052	-0.052	-0.068	-0.068
434	Q4_9	~~	Q7_7	1.366	-0.039	-0.039	-0.071	-0.071
142	IN	=~	Q4_1	1.364	-0.096	-0.056	-0.066	-0.066
502	Q4_15	~~	Q5_2	1.333	0.034	0.034	0.069	0.069
578	Q4_17	~~	Q7_14	1.329	-0.041	-0.041	-0.069	-0.069
540	Q4_16	~~	Q6_5	1.315	0.045	0.045	0.067	0.067
667	Q5_3	~~	Q7_5	1.315	0.035	0.035	0.072	0.072
597	Q4_18	~~	Q7_4	1.298	0.023	0.023	0.071	0.071
625	Q5_1	~~	Q7_12	1.294	0.042	0.042	0.069	0.069
897	Q7_7	~~	Q7_14	1.292	0.044	0.044	0.072	0.072
265	Q4_2	~~	Q6_11	1.290	-0.027	-0.027	-0.068	-0.068
108	EL	=~	Q7_8	1.281	0.104	0.069	0.074	0.074
441	Q4_10	~~	Q4_16	1.276	0.024	0.024	0.069	0.069
559	Q4_17	~~	Q5_6	1.271	-0.030	-0.030	-0.070	-0.070
584	Q4_18	~~	Q5_6	1.269	0.019	0.019	0.073	0.073
131	SC	=~	Q6_7	1.265	0.082	0.045	0.051	0.051
836	Q6_5	~~	Q7_13	1.263	0.065	0.065	0.065	0.065
586	Q4_18	~~	Q5_12	1.257	0.025	0.025	0.069	0.069
335	Q4_4	~~	Q7_2	1.250	0.021	0.021	0.071	0.071
289	Q4_3	~~	Q5_6	1.248	-0.021	-0.021	-0.072	-0.072
877	Q7_2	~~	Q7_5	1.243	0.028	0.028	0.075	0.075
521	Q4_15	~~	Q7_7	1.242	-0.032	-0.032	-0.068	-0.068
280	Q4_3	~~	Q4_15	1.238	-0.021	-0.021	-0.069	-0.069
603	Q4_18	~~	Q7_14	1.228	-0.025	-0.025	-0.069	-0.069
407	Q4_8	~~	Q7_14	1.223	-0.032	-0.032	-0.067	-0.067
440	Q4_10	~~	Q4_15	1.189	-0.021	-0.021	-0.067	-0.067
456	Q4_10	~~	Q6_5	1.187	-0.032	-0.032	-0.065	-0.065
428	Q4_9	~~	Q6_7	1.185	0.024	0.024	0.068	0.068
800	Q6_3	~~	Q6_5	1.182	-0.036	-0.036	-0.067	-0.067
426	Q4_9	~~	Q6_5	1.182	0.045	0.045	0.063	0.063
844	Q6_6	~~	Q7_7	1.179	-0.025	-0.025	-0.069	-0.069
707	Q5_5	~~	Q7_4	1.170	-0.032	-0.032	-0.069	-0.069
668	Q5_3	~~	Q7_7	1.151	-0.039	-0.039	-0.066	-0.066
171	EN	=~	Q4_1	1.139	-0.084	-0.055	-0.064	-0.064
308	Q4_3	~~	Q7_14	1.137	0.027	0.027	0.066	0.066
111	EL	=~	Q7_14	1.134	-0.122	-0.081	-0.078	-0.078
576	Q4_17	~~	Q7_12	1.132	-0.038	-0.038	-0.064	-0.064
539	Q4_16	~~	Q6_4	1.124	0.026	0.026	0.065	0.065
515	Q4_15	~~	Q6_7	1.121	0.020	0.020	0.067	0.067
292	Q4_3	~~	Q6_1	1.111	0.020	0.020	0.065	0.065
346	Q4_5	~~	Q4_11	1.107	0.023	0.023	0.065	0.065
442	Q4_10	~~	Q4_17	1.100	-0.024	-0.024	-0.063	-0.063
737	Q5_8	~~	Q6_4	1.096	0.027	0.027	0.068	0.068
329	Q4_4	~~	Q6_4	1.089	0.019	0.019	0.066	0.066
132	SC	=~	Q6_8	1.076	-0.072	-0.040	-0.047	-0.047
490	Q4_11	~~	Q7_2	1.062	0.024	0.024	0.064	0.064
244	Q4_2	~~	Q4_11	1.059	-0.020	-0.020	-0.063	-0.063
869	Q6_11	~~	Q7_4	1.046	0.034	0.034	0.061	0.061
480	Q4_11	~~	Q5_12	1.040	0.031	0.031	0.061	0.061
100	EL	=~	Q6_6	1.001	0.068	0.045	0.057	0.057
859	Q6_8	~~	Q6_11	0.993	-0.023	-0.023	-0.064	-0.064
669	Q5_3	~~	Q7_8	0.984	-0.029	-0.029	-0.063	-0.063
300	Q4_3	~~	Q6_11	0.984	0.023	0.023	0.060	0.060
680	Q5_4	~~	Q6_4	0.984	0.025	0.025	0.064	0.064
322	Q4_4	~~	Q5_5	0.983	0.020	0.020	0.065	0.065
852	Q6_7	~~	Q7_4	0.980	-0.023	-0.023	-0.063	-0.063
854	Q6_7	~~	Q7_7	0.973	-0.024	-0.024	-0.063	-0.063
724	Q5_6	~~	Q6_11	0.970	0.027	0.027	0.061	0.061
682	Q5_4	~~	Q6_6	0.968	-0.021	-0.021	-0.064	-0.064
530	Q4_16	~~	Q5_3	0.955	0.032	0.032	0.059	0.059
662	Q5_3	~~	Q6_7	0.952	-0.024	-0.024	-0.062	-0.062
422	Q4_9	~~	Q6_1	0.946	0.026	0.026	0.058	0.058
501	Q4_15	~~	Q5_1	0.946	0.028	0.028	0.058	0.058
810	Q6_3	~~	Q7_12	0.945	-0.027	-0.027	-0.061	-0.061
872	Q6_11	~~	Q7_8	0.924	0.027	0.027	0.060	0.060
330	Q4_4	~~	Q6_5	0.915	-0.028	-0.028	-0.058	-0.058
577	Q4_17	~~	Q7_13	0.915	-0.042	-0.042	-0.055	-0.055
793	Q6_2	~~	Q7_5	0.911	-0.021	-0.021	-0.061	-0.061
174	EN	=~	Q4_4	0.900	0.070	0.046	0.054	0.054
761	Q5_12	~~	Q7_4	0.886	0.033	0.033	0.057	0.057
533	Q4_16	~~	Q5_6	0.883	-0.023	-0.023	-0.059	-0.059
591	Q4_18	~~	Q6_5	0.883	0.025	0.025	0.057	0.057
740	Q5_8	~~	Q6_7	0.881	0.021	0.021	0.062	0.062
811	Q6_3	~~	Q7_13	0.877	-0.032	-0.032	-0.057	-0.057
438	Q4_9	~~	Q7_14	0.872	-0.032	-0.032	-0.056	-0.056
366	Q4_5	~~	Q6_8	0.866	-0.016	-0.016	-0.059	-0.059
235	Q4_1	~~	Q7_12	0.856	-0.024	-0.024	-0.057	-0.057
483	Q4_11	~~	Q6_3	0.848	-0.020	-0.020	-0.058	-0.058
831	Q6_5	~~	Q7_4	0.846	-0.038	-0.038	-0.054	-0.054
791	Q6_2	~~	Q7_2	0.846	-0.020	-0.020	-0.059	-0.059
573	Q4_17	~~	Q7_5	0.845	0.026	0.026	0.056	0.056
824	Q6_4	~~	Q7_13	0.841	0.033	0.033	0.055	0.055
167	IN	=~	Q7_8	0.839	-0.091	-0.053	-0.057	-0.057
437	Q4_9	~~	Q7_13	0.823	0.039	0.039	0.053	0.053
728	Q5_6	~~	Q7_7	0.816	-0.025	-0.025	-0.058	-0.058
384	Q4_8	~~	Q5_2	0.797	-0.025	-0.025	-0.054	-0.054
695	Q5_5	~~	Q5_8	0.796	-0.027	-0.027	-0.065	-0.065
148	IN	=~	Q4_9	0.787	0.096	0.056	0.058	0.058
638	Q5_2	~~	Q6_5	0.781	-0.040	-0.040	-0.052	-0.052
677	Q5_4	~~	Q6_1	0.778	-0.023	-0.023	-0.056	-0.056
258	Q4_2	~~	Q6_2	0.773	0.016	0.016	0.055	0.055
543	Q4_16	~~	Q6_8	0.772	-0.018	-0.018	-0.055	-0.055
828	Q6_5	~~	Q6_8	0.771	-0.026	-0.026	-0.055	-0.055
478	Q4_11	~~	Q5_6	0.757	-0.020	-0.020	-0.055	-0.055
285	Q4_3	~~	Q5_2	0.752	-0.021	-0.021	-0.053	-0.053
365	Q4_5	~~	Q6_7	0.752	0.016	0.016	0.055	0.055
420	Q4_9	~~	Q5_8	0.743	-0.026	-0.026	-0.054	-0.054
762	Q5_12	~~	Q7_5	0.742	0.027	0.027	0.053	0.053
611	Q5_1	~~	Q6_1	0.740	0.025	0.025	0.051	0.051
716	Q5_6	~~	Q6_1	0.737	-0.019	-0.019	-0.054	-0.054
398	Q4_8	~~	Q6_8	0.736	0.015	0.015	0.054	0.054
847	Q6_6	~~	Q7_13	0.733	-0.026	-0.026	-0.052	-0.052
618	Q5_1	~~	Q6_8	0.732	0.020	0.020	0.053	0.053
513	Q4_15	~~	Q6_5	0.732	0.030	0.030	0.050	0.050
447	Q4_10	~~	Q5_4	0.729	0.019	0.019	0.055	0.055
93	EL	=~	Q5_8	0.729	-0.070	-0.047	-0.043	-0.043
635	Q5_2	~~	Q6_2	0.720	0.023	0.023	0.052	0.052
781	Q6_1	~~	Q7_12	0.711	0.025	0.025	0.051	0.051
415	Q4_9	~~	Q5_2	0.708	0.029	0.029	0.050	0.050
666	Q5_3	~~	Q7_4	0.704	-0.029	-0.029	-0.051	-0.051
263	Q4_2	~~	Q6_7	0.701	-0.013	-0.013	-0.053	-0.053
798	Q6_2	~~	Q7_14	0.698	-0.023	-0.023	-0.052	-0.052
385	Q4_8	~~	Q5_3	0.694	0.023	0.023	0.050	0.050
759	Q5_12	~~	Q6_11	0.693	0.031	0.031	0.049	0.049
589	Q4_18	~~	Q6_3	0.689	-0.013	-0.013	-0.053	-0.053
143	IN	=~	Q4_2	0.686	-0.065	-0.038	-0.048	-0.048
807	Q6_3	~~	Q7_5	0.681	-0.019	-0.019	-0.053	-0.053
610	Q5_1	~~	Q5_12	0.668	0.031	0.031	0.049	0.049
291	Q4_3	~~	Q5_12	0.663	-0.020	-0.020	-0.050	-0.050
613	Q5_1	~~	Q6_3	0.648	0.021	0.021	0.050	0.050
596	Q4_18	~~	Q7_2	0.644	0.014	0.014	0.051	0.051
598	Q4_18	~~	Q7_5	0.641	0.015	0.015	0.051	0.051
400	Q4_8	~~	Q7_2	0.638	0.018	0.018	0.049	0.049
290	Q4_3	~~	Q5_8	0.637	-0.017	-0.017	-0.051	-0.051
226	Q4_1	~~	Q6_6	0.634	-0.013	-0.013	-0.050	-0.050
475	Q4_11	~~	Q5_3	0.634	0.024	0.024	0.048	0.048
123	SC	=~	Q4_17	0.631	-0.082	-0.045	-0.048	-0.048
102	EL	=~	Q6_8	0.631	-0.054	-0.036	-0.043	-0.043
301	Q4_3	~~	Q7_2	0.629	-0.015	-0.015	-0.050	-0.050
251	Q4_2	~~	Q5_3	0.621	0.019	0.019	0.048	0.048
154	IN	=~	Q4_18	0.610	-0.056	-0.033	-0.042	-0.042
537	Q4_16	~~	Q6_2	0.605	-0.019	-0.019	-0.048	-0.048
380	Q4_8	~~	Q4_16	0.605	-0.019	-0.019	-0.047	-0.047
797	Q6_2	~~	Q7_13	0.603	-0.027	-0.027	-0.047	-0.047
382	Q4_8	~~	Q4_18	0.594	-0.013	-0.013	-0.048	-0.048
550	Q4_16	~~	Q7_12	0.583	0.025	0.025	0.046	0.046
884	Q7_4	~~	Q7_7	0.572	-0.026	-0.026	-0.048	-0.048
286	Q4_3	~~	Q5_3	0.567	0.018	0.018	0.046	0.046
449	Q4_10	~~	Q5_6	0.562	-0.014	-0.014	-0.048	-0.048
391	Q4_8	~~	Q6_1	0.561	-0.017	-0.017	-0.045	-0.045
645	Q5_2	~~	Q7_5	0.561	-0.023	-0.023	-0.047	-0.047
653	Q5_3	~~	Q5_6	0.556	0.022	0.022	0.049	0.049
296	Q4_3	~~	Q6_5	0.555	-0.022	-0.022	-0.045	-0.045
302	Q4_3	~~	Q7_4	0.551	0.017	0.017	0.046	0.046
766	Q5_12	~~	Q7_13	0.550	0.036	0.036	0.043	0.043
117	SC	=~	Q4_8	0.543	0.062	0.034	0.040	0.040
833	Q6_5	~~	Q7_7	0.542	0.033	0.033	0.044	0.044
419	Q4_9	~~	Q5_6	0.528	-0.019	-0.019	-0.045	-0.045
390	Q4_8	~~	Q5_12	0.526	-0.021	-0.021	-0.043	-0.043
463	Q4_10	~~	Q7_5	0.525	-0.015	-0.015	-0.045	-0.045
264	Q4_2	~~	Q6_8	0.524	0.011	0.011	0.046	0.046
448	Q4_10	~~	Q5_5	0.521	0.015	0.015	0.046	0.046
685	Q5_4	~~	Q6_11	0.513	0.023	0.023	0.045	0.045
723	Q5_6	~~	Q6_8	0.511	-0.013	-0.013	-0.047	-0.047
700	Q5_5	~~	Q6_4	0.510	0.017	0.017	0.047	0.047
527	Q4_16	~~	Q4_18	0.500	0.014	0.014	0.044	0.044
738	Q5_8	~~	Q6_5	0.499	-0.028	-0.028	-0.044	-0.044
751	Q5_12	~~	Q6_1	0.499	-0.021	-0.021	-0.042	-0.042
222	Q4_1	~~	Q6_2	0.482	0.013	0.013	0.043	0.043
95	EL	=~	Q6_1	0.477	-0.058	-0.038	-0.045	-0.045
672	Q5_3	~~	Q7_14	0.476	-0.026	-0.026	-0.042	-0.042
495	Q4_11	~~	Q7_12	0.471	0.021	0.021	0.042	0.042
620	Q5_1	~~	Q7_2	0.460	0.019	0.019	0.042	0.042
281	Q4_3	~~	Q4_16	0.458	0.014	0.014	0.042	0.042
802	Q6_3	~~	Q6_7	0.455	0.013	0.013	0.047	0.047
128	SC	=~	Q6_4	0.451	0.056	0.031	0.033	0.033
796	Q6_2	~~	Q7_12	0.449	-0.019	-0.019	-0.042	-0.042
832	Q6_5	~~	Q7_5	0.445	-0.025	-0.025	-0.041	-0.041
224	Q4_1	~~	Q6_4	0.441	-0.013	-0.013	-0.041	-0.041
134	SC	=~	Q7_2	0.439	0.087	0.048	0.054	0.054
412	Q4_9	~~	Q4_17	0.439	0.021	0.021	0.039	0.039
293	Q4_3	~~	Q6_2	0.437	-0.012	-0.012	-0.042	-0.042
835	Q6_5	~~	Q7_12	0.436	0.030	0.030	0.039	0.039
842	Q6_6	~~	Q7_4	0.431	-0.014	-0.014	-0.041	-0.041
461	Q4_10	~~	Q7_2	0.430	0.013	0.013	0.041	0.041
722	Q5_6	~~	Q6_7	0.416	-0.012	-0.012	-0.043	-0.043
549	Q4_16	~~	Q7_8	0.413	0.017	0.017	0.040	0.040
574	Q4_17	~~	Q7_7	0.406	0.022	0.022	0.038	0.038
727	Q5_6	~~	Q7_5	0.405	0.015	0.015	0.042	0.042
470	Q4_11	~~	Q4_16	0.405	-0.017	-0.017	-0.038	-0.038
719	Q5_6	~~	Q6_4	0.398	-0.014	-0.014	-0.041	-0.041
417	Q4_9	~~	Q5_4	0.393	-0.019	-0.019	-0.039	-0.039
572	Q4_17	~~	Q7_4	0.388	-0.020	-0.020	-0.037	-0.037
229	Q4_1	~~	Q6_11	0.388	0.015	0.015	0.038	0.038
491	Q4_11	~~	Q7_4	0.386	-0.017	-0.017	-0.038	-0.038
479	Q4_11	~~	Q5_8	0.385	-0.017	-0.017	-0.039	-0.039
176	EN	=~	Q4_8	0.385	0.053	0.035	0.041	0.041
151	IN	=~	Q4_15	0.380	0.057	0.034	0.038	0.038
623	Q5_1	~~	Q7_7	0.376	-0.022	-0.022	-0.037	-0.037
562	Q4_17	~~	Q6_1	0.373	-0.017	-0.017	-0.036	-0.036
874	Q6_11	~~	Q7_13	0.370	-0.028	-0.028	-0.035	-0.035
233	Q4_1	~~	Q7_7	0.367	0.015	0.015	0.038	0.038
423	Q4_9	~~	Q6_2	0.365	0.015	0.015	0.037	0.037
698	Q5_5	~~	Q6_2	0.365	-0.014	-0.014	-0.040	-0.040
649	Q5_2	~~	Q7_13	0.364	0.029	0.029	0.035	0.035
452	Q4_10	~~	Q6_1	0.364	-0.012	-0.012	-0.037	-0.037
295	Q4_3	~~	Q6_4	0.363	0.011	0.011	0.038	0.038
825	Q6_4	~~	Q7_14	0.353	0.017	0.017	0.037	0.037
363	Q4_5	~~	Q6_5	0.350	-0.020	-0.020	-0.035	-0.035
136	SC	=~	Q7_5	0.343	-0.081	-0.044	-0.047	-0.047
756	Q5_12	~~	Q6_6	0.342	0.014	0.014	0.036	0.036
175	EN	=~	Q4_5	0.337	-0.049	-0.032	-0.037	-0.037
359	Q4_5	~~	Q6_1	0.336	-0.013	-0.013	-0.035	-0.035
135	SC	=~	Q7_4	0.324	-0.086	-0.047	-0.050	-0.050
186	EN	=~	Q5_3	0.322	-0.078	-0.051	-0.049	-0.049
228	Q4_1	~~	Q6_8	0.322	-0.009	-0.009	-0.036	-0.036
694	Q5_5	~~	Q5_6	0.322	-0.015	-0.015	-0.041	-0.041
532	Q4_16	~~	Q5_5	0.321	0.016	0.016	0.036	0.036
743	Q5_8	~~	Q7_2	0.320	-0.015	-0.015	-0.037	-0.037
245	Q4_2	~~	Q4_15	0.320	-0.011	-0.011	-0.035	-0.035
338	Q4_4	~~	Q7_7	0.319	0.013	0.013	0.035	0.035
240	Q4_2	~~	Q4_5	0.316	0.010	0.010	0.035	0.035
313	Q4_4	~~	Q4_11	0.314	0.011	0.011	0.035	0.035
601	Q4_18	~~	Q7_12	0.311	-0.013	-0.013	-0.035	-0.035
739	Q5_8	~~	Q6_6	0.308	0.012	0.012	0.036	0.036
531	Q4_16	~~	Q5_4	0.304	0.016	0.016	0.035	0.035
252	Q4_2	~~	Q5_4	0.303	-0.012	-0.012	-0.035	-0.035
352	Q4_5	~~	Q5_2	0.300	-0.015	-0.015	-0.033	-0.033
425	Q4_9	~~	Q6_4	0.299	0.014	0.014	0.033	0.033
583	Q4_18	~~	Q5_5	0.296	-0.010	-0.010	-0.035	-0.035
630	Q5_2	~~	Q5_5	0.295	-0.018	-0.018	-0.036	-0.036
720	Q5_6	~~	Q6_5	0.293	0.019	0.019	0.033	0.033
641	Q5_2	~~	Q6_8	0.291	0.013	0.013	0.034	0.034
624	Q5_1	~~	Q7_8	0.291	-0.016	-0.016	-0.034	-0.034
845	Q6_6	~~	Q7_8	0.288	0.010	0.010	0.035	0.035
149	IN	=~	Q4_10	0.287	0.042	0.025	0.031	0.031
241	Q4_2	~~	Q4_8	0.282	0.010	0.010	0.032	0.032
408	Q4_9	~~	Q4_10	0.281	0.012	0.012	0.032	0.032
294	Q4_3	~~	Q6_3	0.280	-0.009	-0.009	-0.034	-0.034
801	Q6_3	~~	Q6_6	0.277	-0.010	-0.010	-0.035	-0.035
324	Q4_4	~~	Q5_8	0.274	0.011	0.011	0.034	0.034
327	Q4_4	~~	Q6_2	0.270	0.009	0.009	0.033	0.033
864	Q6_8	~~	Q7_8	0.270	0.010	0.010	0.034	0.034
270	Q4_2	~~	Q7_8	0.261	-0.010	-0.010	-0.032	-0.032
435	Q4_9	~~	Q7_8	0.261	0.014	0.014	0.032	0.032
161	IN	=~	Q5_8	0.258	-0.046	-0.027	-0.025	-0.025
388	Q4_8	~~	Q5_6	0.257	0.011	0.011	0.032	0.032
709	Q5_5	~~	Q7_7	0.254	0.016	0.016	0.033	0.033
626	Q5_1	~~	Q7_13	0.254	0.023	0.023	0.029	0.029
378	Q4_8	~~	Q4_11	0.253	-0.011	-0.011	-0.031	-0.031
819	Q6_4	~~	Q7_4	0.250	-0.013	-0.013	-0.031	-0.031
88	EL	=~	Q5_2	0.243	0.045	0.030	0.029	0.029
273	Q4_2	~~	Q7_14	0.241	-0.012	-0.012	-0.030	-0.030
725	Q5_6	~~	Q7_2	0.238	-0.011	-0.011	-0.032	-0.032
679	Q5_4	~~	Q6_3	0.236	0.012	0.012	0.032	0.032
587	Q4_18	~~	Q6_1	0.236	-0.009	-0.009	-0.030	-0.030
218	Q4_1	~~	Q5_6	0.224	0.009	0.009	0.030	0.030
706	Q5_5	~~	Q7_2	0.219	0.012	0.012	0.031	0.031
805	Q6_3	~~	Q7_2	0.217	-0.010	-0.010	-0.030	-0.030
858	Q6_7	~~	Q7_14	0.214	-0.012	-0.012	-0.029	-0.029
570	Q4_17	~~	Q6_11	0.208	-0.015	-0.015	-0.027	-0.027
110	EL	=~	Q7_13	0.208	-0.064	-0.042	-0.038	-0.038
474	Q4_11	~~	Q5_2	0.208	0.014	0.014	0.027	0.027
642	Q5_2	~~	Q6_11	0.205	0.016	0.016	0.027	0.027
621	Q5_1	~~	Q7_4	0.200	0.015	0.015	0.027	0.027
760	Q5_12	~~	Q7_2	0.196	0.013	0.013	0.027	0.027
377	Q4_8	~~	Q4_10	0.196	-0.008	-0.008	-0.027	-0.027
237	Q4_1	~~	Q7_14	0.195	-0.012	-0.012	-0.027	-0.027
665	Q5_3	~~	Q7_2	0.195	0.013	0.013	0.028	0.028
564	Q4_17	~~	Q6_3	0.191	0.011	0.011	0.027	0.027
299	Q4_3	~~	Q6_8	0.189	0.007	0.007	0.028	0.028
439	Q4_10	~~	Q4_11	0.183	-0.009	-0.009	-0.026	-0.026
116	SC	=~	Q4_5	0.180	0.035	0.019	0.022	0.022
189	EN	=~	Q5_6	0.178	0.045	0.030	0.032	0.032
418	Q4_9	~~	Q5_5	0.175	-0.012	-0.012	-0.026	-0.026
181	EN	=~	Q4_16	0.170	0.041	0.027	0.029	0.029
585	Q4_18	~~	Q5_8	0.169	-0.008	-0.008	-0.027	-0.027
160	IN	=~	Q5_6	0.167	0.032	0.019	0.020	0.020
588	Q4_18	~~	Q6_2	0.167	-0.007	-0.007	-0.026	-0.026
812	Q6_3	~~	Q7_14	0.166	0.011	0.011	0.025	0.025
489	Q4_11	~~	Q6_11	0.165	0.012	0.012	0.024	0.024
704	Q5_5	~~	Q6_8	0.163	0.008	0.008	0.027	0.027
581	Q4_18	~~	Q5_3	0.161	-0.009	-0.009	-0.025	-0.025
370	Q4_5	~~	Q7_5	0.159	-0.009	-0.009	-0.025	-0.025
616	Q5_1	~~	Q6_6	0.159	0.009	0.009	0.024	0.024
416	Q4_9	~~	Q5_3	0.155	0.013	0.013	0.024	0.024
636	Q5_2	~~	Q6_3	0.152	0.011	0.011	0.024	0.024
529	Q4_16	~~	Q5_2	0.152	0.013	0.013	0.023	0.023
381	Q4_8	~~	Q4_17	0.148	-0.010	-0.010	-0.023	-0.023
466	Q4_10	~~	Q7_12	0.146	0.010	0.010	0.023	0.023
267	Q4_2	~~	Q7_4	0.142	0.008	0.008	0.023	0.023
505	Q4_15	~~	Q5_5	0.137	0.009	0.009	0.024	0.024
633	Q5_2	~~	Q5_12	0.137	-0.014	-0.014	-0.022	-0.022
697	Q5_5	~~	Q6_1	0.136	0.009	0.009	0.023	0.023
701	Q5_5	~~	Q6_5	0.135	-0.014	-0.014	-0.023	-0.023
718	Q5_6	~~	Q6_3	0.135	0.008	0.008	0.024	0.024
654	Q5_3	~~	Q5_8	0.134	-0.013	-0.013	-0.024	-0.024
851	Q6_7	~~	Q7_2	0.132	0.007	0.007	0.024	0.024
856	Q6_7	~~	Q7_12	0.130	-0.009	-0.009	-0.023	-0.023
342	Q4_4	~~	Q7_14	0.129	-0.009	-0.009	-0.022	-0.022
614	Q5_1	~~	Q6_4	0.124	-0.010	-0.010	-0.022	-0.022
619	Q5_1	~~	Q6_11	0.120	0.012	0.012	0.020	0.020
250	Q4_2	~~	Q5_2	0.118	-0.008	-0.008	-0.021	-0.021
309	Q4_4	~~	Q4_5	0.118	-0.006	-0.006	-0.022	-0.022
430	Q4_9	~~	Q6_11	0.117	-0.011	-0.011	-0.020	-0.020
735	Q5_8	~~	Q6_2	0.116	0.008	0.008	0.022	0.022
347	Q4_5	~~	Q4_15	0.116	0.007	0.007	0.021	0.021
758	Q5_12	~~	Q6_8	0.113	0.008	0.008	0.021	0.021
879	Q7_2	~~	Q7_8	0.112	0.008	0.008	0.023	0.023
750	Q5_8	~~	Q7_14	0.111	-0.011	-0.011	-0.021	-0.021
341	Q4_4	~~	Q7_13	0.107	-0.010	-0.010	-0.020	-0.020
271	Q4_2	~~	Q7_12	0.106	-0.008	-0.008	-0.020	-0.020
223	Q4_1	~~	Q6_3	0.104	0.006	0.006	0.020	0.020
234	Q4_1	~~	Q7_8	0.103	0.006	0.006	0.020	0.020
239	Q4_2	~~	Q4_4	0.102	0.005	0.005	0.020	0.020
361	Q4_5	~~	Q6_3	0.100	0.006	0.006	0.020	0.020
683	Q5_4	~~	Q6_7	0.097	0.007	0.007	0.021	0.021
575	Q4_17	~~	Q7_8	0.095	0.008	0.008	0.019	0.019
551	Q4_16	~~	Q7_13	0.095	0.013	0.013	0.018	0.018
705	Q5_5	~~	Q6_11	0.094	0.009	0.009	0.019	0.019
634	Q5_2	~~	Q6_1	0.092	-0.009	-0.009	-0.018	-0.018
481	Q4_11	~~	Q6_1	0.092	0.007	0.007	0.018	0.018
715	Q5_6	~~	Q5_12	0.089	0.009	0.009	0.019	0.019
763	Q5_12	~~	Q7_7	0.085	-0.011	-0.011	-0.018	-0.018
644	Q5_2	~~	Q7_4	0.084	-0.010	-0.010	-0.017	-0.017
337	Q4_4	~~	Q7_5	0.083	-0.006	-0.006	-0.018	-0.018
658	Q5_3	~~	Q6_3	0.083	-0.008	-0.008	-0.018	-0.018
504	Q4_15	~~	Q5_4	0.076	0.007	0.007	0.017	0.017
741	Q5_8	~~	Q6_8	0.074	-0.006	-0.006	-0.018	-0.018
848	Q6_6	~~	Q7_14	0.071	-0.006	-0.006	-0.017	-0.017
462	Q4_10	~~	Q7_4	0.070	-0.006	-0.006	-0.016	-0.016
467	Q4_10	~~	Q7_13	0.064	-0.008	-0.008	-0.015	-0.015
182	EN	=~	Q4_17	0.062	0.027	0.017	0.019	0.019
310	Q4_4	~~	Q4_8	0.061	-0.005	-0.005	-0.015	-0.015
486	Q4_11	~~	Q6_6	0.059	0.005	0.005	0.015	0.015
546	Q4_16	~~	Q7_4	0.059	-0.007	-0.007	-0.015	-0.015
137	SC	=~	Q7_7	0.058	0.039	0.021	0.020	0.020
375	Q4_5	~~	Q7_14	0.058	-0.007	-0.007	-0.015	-0.015
885	Q7_4	~~	Q7_8	0.057	-0.007	-0.007	-0.016	-0.016
776	Q6_1	~~	Q7_2	0.056	0.005	0.005	0.015	0.015
212	Q4_1	~~	Q4_18	0.055	-0.004	-0.004	-0.015	-0.015
868	Q6_11	~~	Q7_2	0.053	0.007	0.007	0.014	0.014
629	Q5_2	~~	Q5_4	0.053	-0.008	-0.008	-0.015	-0.015
433	Q4_9	~~	Q7_5	0.053	-0.006	-0.006	-0.014	-0.014
746	Q5_8	~~	Q7_7	0.050	-0.007	-0.007	-0.014	-0.014
328	Q4_4	~~	Q6_3	0.050	0.004	0.004	0.014	0.014
345	Q4_5	~~	Q4_10	0.049	0.004	0.004	0.014	0.014
617	Q5_1	~~	Q6_7	0.049	-0.005	-0.005	-0.014	-0.014
612	Q5_1	~~	Q6_2	0.048	-0.006	-0.006	-0.013	-0.013
130	SC	=~	Q6_6	0.047	0.015	0.008	0.010	0.010
837	Q6_5	~~	Q7_14	0.046	0.010	0.010	0.013	0.013
866	Q6_8	~~	Q7_13	0.045	-0.006	-0.006	-0.013	-0.013
393	Q4_8	~~	Q6_3	0.045	-0.004	-0.004	-0.013	-0.013
752	Q5_12	~~	Q6_2	0.045	-0.006	-0.006	-0.013	-0.013
257	Q4_2	~~	Q6_1	0.045	0.004	0.004	0.013	0.013
115	SC	=~	Q4_4	0.042	-0.015	-0.008	-0.010	-0.010
569	Q4_17	~~	Q6_8	0.040	-0.004	-0.004	-0.012	-0.012
560	Q4_17	~~	Q5_8	0.040	-0.006	-0.006	-0.012	-0.012
259	Q4_2	~~	Q6_3	0.040	0.004	0.004	0.012	0.012
548	Q4_16	~~	Q7_7	0.039	0.006	0.006	0.012	0.012
767	Q5_12	~~	Q7_14	0.037	-0.007	-0.007	-0.012	-0.012
453	Q4_10	~~	Q6_2	0.036	0.003	0.003	0.012	0.012
304	Q4_3	~~	Q7_7	0.036	0.005	0.005	0.012	0.012
213	Q4_1	~~	Q5_1	0.035	0.005	0.005	0.011	0.011
528	Q4_16	~~	Q5_1	0.035	-0.006	-0.006	-0.011	-0.011
511	Q4_15	~~	Q6_3	0.034	0.004	0.004	0.011	0.011
395	Q4_8	~~	Q6_5	0.034	0.006	0.006	0.011	0.011
809	Q6_3	~~	Q7_8	0.032	0.004	0.004	0.012	0.012
112	SC	=~	Q4_1	0.030	-0.013	-0.007	-0.009	-0.009
152	IN	=~	Q4_16	0.030	0.018	0.011	0.011	0.011
592	Q4_18	~~	Q6_6	0.029	-0.002	-0.002	-0.011	-0.011
865	Q6_8	~~	Q7_12	0.029	-0.004	-0.004	-0.011	-0.011
839	Q6_6	~~	Q6_8	0.024	0.002	0.002	0.011	0.011
771	Q6_1	~~	Q6_5	0.024	-0.006	-0.006	-0.009	-0.009
387	Q4_8	~~	Q5_5	0.023	-0.004	-0.004	-0.010	-0.010
542	Q4_16	~~	Q6_7	0.022	-0.003	-0.003	-0.009	-0.009
465	Q4_10	~~	Q7_8	0.020	0.003	0.003	0.009	0.009
287	Q4_3	~~	Q5_4	0.019	-0.003	-0.003	-0.009	-0.009
678	Q5_4	~~	Q6_2	0.019	-0.003	-0.003	-0.009	-0.009
445	Q4_10	~~	Q5_2	0.018	0.003	0.003	0.008	0.008
383	Q4_8	~~	Q5_1	0.016	0.004	0.004	0.008	0.008
225	Q4_1	~~	Q6_5	0.015	0.004	0.004	0.007	0.007
566	Q4_17	~~	Q6_5	0.015	-0.005	-0.005	-0.007	-0.007
321	Q4_4	~~	Q5_4	0.014	0.003	0.003	0.008	0.008
808	Q6_3	~~	Q7_7	0.014	-0.003	-0.003	-0.008	-0.008
742	Q5_8	~~	Q6_11	0.014	0.004	0.004	0.007	0.007
534	Q4_16	~~	Q5_8	0.014	-0.003	-0.003	-0.007	-0.007
857	Q6_7	~~	Q7_13	0.013	-0.004	-0.004	-0.007	-0.007
214	Q4_1	~~	Q5_2	0.013	-0.003	-0.003	-0.007	-0.007
745	Q5_8	~~	Q7_5	0.013	0.003	0.003	0.007	0.007
579	Q4_18	~~	Q5_1	0.012	0.002	0.002	0.007	0.007
555	Q4_17	~~	Q5_2	0.012	0.004	0.004	0.006	0.006
510	Q4_15	~~	Q6_2	0.011	0.002	0.002	0.006	0.006
675	Q5_4	~~	Q5_8	0.011	0.003	0.003	0.008	0.008
524	Q4_15	~~	Q7_13	0.010	-0.004	-0.004	-0.006	-0.006
283	Q4_3	~~	Q4_18	0.010	0.001	0.001	0.006	0.006
717	Q5_6	~~	Q6_2	0.009	-0.002	-0.002	-0.006	-0.006
350	Q4_5	~~	Q4_18	0.009	-0.002	-0.002	-0.006	-0.006
765	Q5_12	~~	Q7_12	0.009	-0.004	-0.004	-0.006	-0.006
558	Q4_17	~~	Q5_5	0.007	-0.002	-0.002	-0.005	-0.005
734	Q5_8	~~	Q6_1	0.007	-0.002	-0.002	-0.005	-0.005
457	Q4_10	~~	Q6_6	0.006	0.001	0.001	0.005	0.005
450	Q4_10	~~	Q5_8	0.006	0.002	0.002	0.005	0.005
185	EN	=~	Q5_2	0.005	0.010	0.007	0.007	0.007
821	Q6_4	~~	Q7_7	0.005	0.002	0.002	0.005	0.005
789	Q6_2	~~	Q6_8	0.005	-0.001	-0.001	-0.005	-0.005
850	Q6_7	~~	Q6_11	0.005	0.002	0.002	0.004	0.004
260	Q4_2	~~	Q6_4	0.005	-0.001	-0.001	-0.004	-0.004
261	Q4_2	~~	Q6_5	0.004	-0.002	-0.002	-0.004	-0.004
565	Q4_17	~~	Q6_4	0.004	0.002	0.002	0.004	0.004
351	Q4_5	~~	Q5_1	0.004	0.002	0.002	0.004	0.004
139	SC	=~	Q7_12	0.003	-0.009	-0.005	-0.005	-0.005
818	Q6_4	~~	Q7_2	0.003	-0.001	-0.001	-0.003	-0.003
517	Q4_15	~~	Q6_11	0.002	0.001	0.001	0.003	0.003
687	Q5_4	~~	Q7_4	0.002	0.002	0.002	0.003	0.003
364	Q4_5	~~	Q6_6	0.002	0.001	0.001	0.003	0.003
454	Q4_10	~~	Q6_3	0.002	0.001	0.001	0.003	0.003
507	Q4_15	~~	Q5_8	0.001	-0.001	-0.001	-0.002	-0.002
794	Q6_2	~~	Q7_7	0.001	-0.001	-0.001	-0.002	-0.002
496	Q4_11	~~	Q7_13	0.001	0.001	0.001	0.002	0.002
146	IN	=~	Q4_5	0.001	-0.002	-0.001	-0.001	-0.001
288	Q4_3	~~	Q5_5	0.000	0.000	0.000	0.001	0.001
699	Q5_5	~~	Q6_3	0.000	0.000	0.000	-0.001	-0.001
367	Q4_5	~~	Q6_11	0.000	0.000	0.000	-0.001	-0.001
169	IN	=~	Q7_13	0.000	0.002	0.001	0.001	0.001
278	Q4_3	~~	Q4_10	0.000	0.000	0.000	-0.001	-0.001
552	Q4_16	~~	Q7_14	0.000	0.000	0.000	0.001	0.001
806	Q6_3	~~	Q7_4	0.000	0.000	0.000	-0.001	-0.001
106	EL	=~	Q7_5	0.000	-0.001	-0.001	-0.001	-0.001
210	Q4_1	~~	Q4_16	0.000	0.000	0.000	0.000	0.000
424	Q4_9	~~	Q6_3	0.000	0.000	0.000	0.000	0.000
262	Q4_2	~~	Q6_6	0.000	0.000	0.000	0.000	0.000
208	Q4_1	~~	Q4_11	0.000	0.000	0.000	0.000	0.000
215	Q4_1	~~	Q5_3	0.000	0.000	0.000	0.000	0.000

ROPE Probability Approx

# set up data
dat2 <- mydata[, use.var]
colnames(dat2) <- c(paste0("y", 1:38))

fit1 <- lavaan::sem(mod1.2, data=dat2)

# Probility method
source("code/utility_functions.R")

# ========================================== #
# ========================================== #
#   function: get_prior_dens()
# ========================================== #
# use: gets the appropriate prior for the 
#       parameter of interest
#
get_prior_dens <- function(pvalue, pname,...){
  if(pname %like% 'lambda'){
    out <- dnorm(pvalue, 0, 1, log=T)
  }
  if(pname %like% 'dphi'){
    out <- dgamma(pvalue, 1, 0.5, log=T)
  }
  if(pname %like% 'odphi'){
    out <- dnorm(pvalue, 0, 1, log=T)
  }
  if(pname %like% 'dpsi'){
    out <- dgamma(pvalue, 1, 0.5, log=T)
  }
  if(pname %like% 'odpsi'){
    out <- dnorm(pvalue, 0, 1, log=T)
  }
  if(pname %like% 'eta'){
    out <- dnorm(pvalue, 0, 10, log=T)
  }
  if(pname %like% 'tau'){
    out <- dnorm(pvalue, 0, 32, log=T)
  }
  return(out)
}

# ========================================== #
# ========================================== #
#   function: get_log_post()
# ========================================== #
# use: uses the model, parameters, and data to
#       to calculate log posterior
#
# arguments:
# p        - names vector of parameters
# sample.data - data frame of raw data
# cfa.model - list of model components
#
get_log_post <- function(p, sample.data, cfa.model,...) {
  
  out <- use_cfa_model(p, cov(sample.data), cfa.model)
  
  log_lik <- sum(apply(sample.data, 1, dmvnorm,
                       mean=out[['tau']],
                       sigma=out[['Sigma']], log=T))
  
  log_prior<-0
  if(length(p)==1){
    log_prior <- get_prior_dens(p, names(p))
  } else {
    i <- 1
    for(i in 1:length(p)){
      log_prior <- log_prior + get_prior_dens(p[i], names(p)[i])
    }
  }
  log_post <- log_lik + log_prior
  log_post
}

# ========================================== #
# ========================================== #
#   function: use_cfa_model()
# ========================================== #
# use: take in parameters, data, and model to 
#         obtain the log-likelihood
#
# arguments:
# theta - vector of parameters being optimized
# sample.cov - samplecovariance matrix
# cfa.model - list of model parameters
use_cfa_model <- function(theta, sample.cov, cfa.model,...){
  # Compue sample statistics
  p<-ncol(sample.cov)
  S<-sample.cov
  
  # unpack model
  lambda <- cfa.model[[1]]
  phi <- cfa.model[[2]]
  psi <- cfa.model[[3]]
  #tau <- cfaModel[[4]]
  #eta <- cfaModel[[5]]
  
  # number factor loadings
  lam.num <- length(which(is.na(lambda)))
  lambda[which(is.na(lambda))] <- theta[1:lam.num]
  nF = ncol(lambda)
  # number elements in factor (co)variance matrix
  phi.num <- length(which(is.na(phi)))
  dphi.num <- sum(is.na(diag(phi))==T)
  odphi.num <- sum(is.na(phi[lower.tri(phi)])==T)
  if(phi.num > 0){
    if(dphi.num == 0){
      phi[which(is.na(phi))] <- theta[(lam.num+1):(lam.num+phi.num)]
    } else {
      diag(phi) <- theta[(lam.num+1):(lam.num+dphi.num)]
      phi[which(is.na(phi))] <- theta[(lam.num+dphi.num+1):(lam.num+phi.num)]
    }
  }
  phi <- low2full(phi) # map lower to upper
  
  # number elements in error (co)variance matrix
  psi.num <- length(which(is.na(psi)))
  dpsi.num <- sum(is.na(diag(psi))==T)
  odpsi.num <- sum(is.na(psi[lower.tri(psi)])==T)
  if(psi.num > 0){
    if(dpsi.num == 0){
      psi[which(is.na(psi))] <- theta[(lam.num+1):(lam.num+psi.num)]
    } else {
      diag(psi) <- theta[(lam.num+1):(lam.num+dpsi.num)]
      psi[which(is.na(psi))] <- theta[(lam.num+dpsi.num+1):(lam.num+psi.num)]
    }
  }
  psi <- low2full(psi)
  # number of factor scores
  #eta.num <- length(eta)
  #eta <- matrix(theta[(lam.num+phi.num+psi.num+tau.num+1):(lam.num+phi.num+psi.num+tau.num+eta.num)],
  #              nrow=nF)
  # mean center eta
  #for(i in 1:nF){
  #  eta[i, ] <- eta[i,] - mean(eta[,i])
  #}
  
  # # number of intercepts
  # tau.num <- length(tau)
  # tau <- matrix(theta[(lam.num+phi.num+psi.num+1):(lam.num+phi.num+psi.num+tau.num)], ncol=1)
  # tau <- repeat_col(tau, ncol(eta))
  
  # compute model observed outcomes
  #Y <- tau + lambda%*%eta
  tau <- numeric(p)
  # compute model implied (co)variance matrix
  Sigma<-lambda%*%phi%*%(t(lambda)) + psi
  
  #return fit value 
  out <- list(Sigma, lambda, phi, psi, tau)
  names(out) <- c('Sigma', 'lambda', 'phi', 'psi', 'tau')
  return(out)
}



# ========================================== #
# ========================================== #
#   function: laplace_local_fit()
# ========================================== #
# use: uses the fittes lavaan object to run
#       the proposed method
#
# arguments:
# fit       - fitted lavaan model
# standardized - logical for whether to standardize
# cut.load  - cutoff for value of loading to care about default = 0.3 
# cut.cov   - cutoff for value of covariances to care about default = 0.1
# opt       - list of parameters to pass to interior functions
# sum.print - logical indicator of whether to print the summary table upon completion
# counter   - logical indicator of whether to print out a (.) after each
#               parameter is completed
#
#laplace_local_fit <- function(fit, cut.load = 0.3, cut.cov = 0.1, standardize=T,
#                              opt=list(scale.cov=1, no.samples=1000),
#                              all.parameters=F,
#                              sum.print=F, pb=T,...){
  
  
fit=fit1
cut.load = 0.3
cut.cov = 0.2
standardize=T
opt=list(scale.cov=1, no.samples=3)
all.parameters=F
sum.print=F
pb=F
                              
  # Observed Data
  sampleData <- fit@Data@X[[1]]
  # sample covariance matrix
  sampleCov <- fit@SampleStats@cov[[1]]
  
  # extract model
  extractedLavaan <- lavMatrixRepresentation(partable(fit))
  
  factNames <- unique(extractedLavaan[extractedLavaan[,"mat"]=="lambda", "lhs"])
  varNames <- unique(extractedLavaan[extractedLavaan[,"mat"]=="lambda", "rhs"])
  # extract factor loading matrix
  lambda <- extractedLavaan[ extractedLavaan$mat == "lambda" ,]
  lambda <- convert2matrix(lambda$row, lambda$col, lambda$est)
  colnames(lambda) <- factNames
  rownames(lambda) <- varNames
  # extract factor covariance matrix
  phi <- extractedLavaan[ extractedLavaan$mat == "psi" ,]
  phi <- convert2matrix(phi[,'row'], phi[,'col'], phi[,'est'])
  phi <- up2full(phi)
  colnames(phi) <- rownames(phi) <- factNames
  # extract error covariance matrix
  psi <- extractedLavaan[ extractedLavaan$mat == "theta" ,]
  psi <- convert2matrix(psi[,'row'], psi[,'col'], psi[,'est'])
  psi[upper.tri(psi)] <- 0
  colnames(psi) <- rownames(psi) <- varNames
  
  
  # need to create list of all NA parameters in the above matrices
  
  if(all.parameters == T){
    lambdaA <- lambda
    phiA <- phi
    psiA <- psi
    
    lambdaA[!is.na(lambdaA)] <- NA
    phiA[!is.na(phiA)] <- NA
    psiA[!is.na(psiA)] <- NA
    
  } else{
    lambdaA <- lambda
    phiA <- phi
    psiA <- psi
    
  }
  
  lamList <- as.matrix(which(is.na(lambdaA), arr.ind = T))
  il <- nrow(lamList)
  phiList <- as.matrix(which(is.na(phiA), arr.ind = T))
  ip <- il + nrow(phiList)
  psiList <- as.matrix(which(is.na(psiA), arr.ind = T))
  it <- ip + nrow(psiList)
  modList <- rbind(lamList, phiList, psiList)
  # number of variables
  # create names for each condition
  vnlamList <- lamList
  vnlamList[,2] <- paste0(factor(vnlamList[,2], levels = order(unique(vnlamList[,2])),labels=factNames))
  vnlamList[,1] <- rownames(lamList)
  vnlamList[,2] <- paste0(vnlamList[,2],"=~",vnlamList[,1])
  vnphiList <- phiList
  if(nrow(phiList)>0){
    vnphiList[,1] <- paste0(factor(phiList[,1], levels = order(unique(vnphiList[,1])),labels=factNames))
    vnphiList[,2] <- paste0(factor(phiList[,2], levels = order(unique(phiList[,2])),labels=factNames))
  }
  vnpsiList <- psiList
  vnpsiList[,1] <- rownames(psiList)
  vnpsiList[,2] <- paste0(vnpsiList[,1],"~~y", psiList[,2])
  nameList <- rbind(vnlamList, vnphiList, vnpsiList)
  # ========================================================== #
  # ========================================================== #
  # iterate around this function
  fitResults <- matrix(nrow=opt[[2]], ncol=it)
  # progress bar
  if(pb==T) progress_bar <- txtProgressBar(min = 0, max = it, style = 3)
  iter <- 1
  for(iter in 1:it){
    
    # extract iteration information from modList
    x <- modList[iter, ]
    
    # do we need to update lambda?
    if(iter <= il){
      Q <- lambda
      Q[is.na(Q)] <- 0
      Q[x[1], x[2]] <- NA
      lambdaMod <- Q
    } else {
      Q <- lambda
      Q[is.na(Q)] <- 0
      lambdaMod <- Q
    }
    
    # update phi?
    if(iter > il & iter <= ip){
      Q <- phi
      Q[is.na(Q)] <- 0
      Q[x[1], x[2]] <- NA
      phiMod <- Q
    } else {
      Q <- phi
      Q[is.na(Q)] <- 0
      phiMod <- Q
    }
    
    # update psi?
    if(iter > ip){
      Q <- psi
      Q[is.na(Q)] <- 0
      Q[x[1], x[2]] <- NA
      psiMod <- Q
    } else {
      Q <- psi
      Q[is.na(Q)] <- 0
      psiMod <- Q
    }
    
    # combine into a single list
    cfaModel <- list(lambdaMod, phiMod, psiMod) #, tauMod, etaMod
    
    #print(cfaModel)
    # get starting values
    inits <- get_starting_values(cfaModel) 
    
    # use optim() to run simulation
    fit <- optim(inits, get_log_post, control = list(fnscale = -1),
                 hessian = TRUE,
                 sample.data=sampleData, cfa.model=cfaModel)
    param_mean <- fit$par # numerical deriv
    # compute hess at param_mean
    #hess <- numDeriv::hessian(model, param_mean, ...)
    #param_cov_mat <- solve(-hess)
    param_cov_mat <- solve(-fit$hessian)
    
    # scaled covariance matrix (artifically inflate uncertainty)
    scale.cov = opt[[1]]
    A <- diag(scale.cov, nrow=nrow(param_cov_mat), ncol=ncol(param_cov_mat))
    param_cov_mat <- A%*%param_cov_mat%*%t(A)
    
    # sample
    no.samples=opt[[2]]
    fitResults[,iter] <- mcmc(rmvnorm(no.samples, param_mean, param_cov_mat))
    
    if(pb == T) setTxtProgressBar(progress_bar, iter)
  }
  # ========================================================== #
  # ========================================================== #
  
  colnames(fitResults) <- nameList[,2, drop=T]
  fitResults.unstd <- fitResults
  # Next, standardized (if desired) default
  if(standardize==T){
    # standardize
    obs.var <- extractedLavaan[extractedLavaan[,"mat"]=="theta", ]
    obs.var <- obs.var[which(obs.var$lhs == obs.var$rhs), c("lhs", "est")]
    
    fct.var <- extractedLavaan[extractedLavaan[,"mat"]=="psi", ]
    fct.var <- fct.var[which(fct.var$lhs == fct.var$rhs), c("lhs", "est")]
    
    all.var <- rbind(obs.var, fct.var)
    
    fitResults <- fitResults
    p <- colnames(fitResults)
    i <- 1
    for(i in 1:length(p)){
      unstd <- fitResults[,i]
      
      if(p[i] %like% "=~"){
        pp <- strsplit(p[i], "=~") %>% unlist()
        sigjj <- sqrt(all.var[all.var[,1] == pp[1], 2])
        sigii <- sqrt(all.var[all.var[,1] == pp[2], 2])
        std <- unstd*sqrt(sigjj/sigii) # bollen (1989, p. 349)
      }
      
      if(p[i] %like% "~~"){
        pp <- strsplit(p[i], "~~") %>% unlist()
        sigjj <- sqrt(all.var[all.var[,1] == pp[1], 2])
        sigii <- sqrt(all.var[all.var[,1] == pp[2], 2])
        std <- unstd/(sigjj * sigii) # bollen (1989, p. 349)
      }
      
      fitResults[,i] <- std
    }
  }
  # now, compute and format summary statistics
  sumResults <- data.frame(matrix(nrow=ncol(fitResults), ncol=9))
  colnames(sumResults) <- c("Parameter","Prob", "mean", "sd", "p0.025", "p0.25", "p0.5", "p0.75", "p0.975")
  sumResults[,1] <- colnames(fitResults)
  
  sumResults[,3:9] <- t(apply(fitResults, 2, function(x){
    c(mean(x, na.rm=T), sd(x, na.rm=T),
      quantile(x, c(0.025, 0.25, 0.5, 0.75, 0.975), na.rm=T))
  }))
  
  # compute probability of meaningfulness
  # depends on parameter
  # cut.load = 0.3
  # cut.cov = 0.1
  p <- colnames(fitResults)
  for(i in 1:ncol(fitResults)){
    x <- fitResults[,i, drop=T]
    if(p[i] %like% "=~"){
      pv <- mean(ifelse(abs(x) >= cut.load, 1, 0))
    }
    if(p[i] %like% "~~"){
      pv <- mean(ifelse(abs(x) >= cut.cov, 1, 0))
    }
    sumResults[i, 2] <- pv
  }
  sumResults <- arrange(sumResults, desc(Prob))
  colnames(sumResults) <- c("Parameter","Pr(|theta|>cutoff)", "mean", "sd", "p0.025", "p0.25", "p0.5", "p0.75", "p0.975")
  sumResults[,2:9] <- round(sumResults[,2:9], 3)

  # extract unstandardized results
  sumResults.unstd <- data.frame(matrix(nrow=ncol(fitResults.unstd), ncol=9))
  colnames(sumResults.unstd) <- c("Parameter","Prob", "mean", "sd", "p0.025", "p0.25", "p0.5", "p0.75", "p0.975")
  sumResults.unstd[,1] <- colnames(fitResults.unstd)
  
  sumResults.unstd[,3:9] <- t(apply(fitResults.unstd, 2, function(x){
    c(mean(x, na.rm=T), sd(x, na.rm=T),
      quantile(x, c(0.025, 0.25, 0.5, 0.75, 0.975), na.rm=T))
  }))
  
  # compute probability of meaningfulness
  # depends on parameter
  # cut.load = 0.3
  # cut.cov = 0.1
  p <- colnames(fitResults.unstd)
  for(i in 1:ncol(fitResults.unstd)){
    x <- fitResults.unstd[,i, drop=T]
    if(p[i] %like% "=~"){
      pv <- mean(ifelse(abs(x) >= cut.load, 1, 0))
    }
    if(p[i] %like% "~~"){
      pv <- mean(ifelse(abs(x) >= cut.cov, 1, 0))
    }
    sumResults.unstd[i, 2] <- pv
  }
  sumResults.unstd <- arrange(sumResults.unstd, desc(Prob))
  colnames(sumResults.unstd) <- c("Parameter","Pr(|theta|>cutoff)", "mean", "sd", "p0.025", "p0.25", "p0.5", "p0.75", "p0.975")
  sumResults.unstd[,2:9] <- round(sumResults.unstd[,2:9], 3)
  
#  return(out)
#}



#out.lplf <- laplace_local_fit(fit = fit1, standardize = T, opt=list(scale.cov=1, no.samples=10))

# change variable names back
orig.names <- c(use.var, "EL", "EN", "SC", "IN")
mod.names <- c(paste0("y", 1:38), "EL", "EN", "SC", "IN")
i <- 1
for(i in 1:nrow(sumResults)){
  p <- sumResults[i, 1]
  if(p %like% "=~"){
    p0 <- strsplit(p, "=~")[[1]]
    p0[1] <- orig.names[mod.names == p0[1]]
    p0[2] <- orig.names[mod.names == p0[2]]
    sumResults[i, 1] <- paste0(p0[1], "=~", p0[2]) 
  }
  if(p %like% "~~"){
    p0 <- strsplit(p, "~~")[[1]]
    p0[1] <- orig.names[mod.names == p0[1]]
    p0[2] <- orig.names[mod.names == p0[2]]
    sumResults[i, 1] <- paste0(p0[1], "~~", p0[2]) 
  }
}
# unstadnardized results
i <- 1
for(i in 1:nrow(sumResults.unstd)){
  p <- sumResults.unstd[i, 1]
  if(p %like% "=~"){
    p0 <- strsplit(p, "=~")[[1]]
    p0[1] <- orig.names[mod.names == p0[1]]
    p0[2] <- orig.names[mod.names == p0[2]]
    sumResults.unstd[i, 1] <- paste0(p0[1], "=~", p0[2]) 
  }
  if(p %like% "~~"){
    p0 <- strsplit(p, "~~")[[1]]
    p0[1] <- orig.names[mod.names == p0[1]]
    p0[2] <- orig.names[mod.names == p0[2]]
    sumResults.unstd[i, 1] <- paste0(p0[1], "~~", p0[2]) 
  }
}

kable(sumResults, format="html", digits=3,caption = "ROPE Probability Approximation based on STANDARDIZED Parameter Estimates")%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="600px")

ROPE Probability Approximation based on STANDARDIZED Parameter Estimates

Parameter	Pr(|theta|>cutoff)	mean	sd	p0.025	p0.25	p0.5	p0.75	p0.975
EL=~Q5_1	1.000	0.493	0.068	0.445	0.454	0.464	0.517	0.565
EL=~Q5_3	1.000	0.361	0.022	0.337	0.353	0.370	0.373	0.376
EL=~Q5_4	1.000	-0.556	0.008	-0.564	-0.559	-0.552	-0.551	-0.550
EL=~Q5_5	1.000	-0.533	0.024	-0.558	-0.540	-0.519	-0.519	-0.518
EL=~Q6_1	1.000	0.475	0.022	0.452	0.468	0.485	0.488	0.491
EL=~Q6_6	1.000	0.476	0.046	0.445	0.449	0.454	0.491	0.525
EL=~Q7_7	1.000	-0.549	0.051	-0.604	-0.570	-0.532	-0.521	-0.510
EL=~Q7_12	1.000	-0.440	0.058	-0.496	-0.468	-0.438	-0.410	-0.386
EL=~Q7_13	1.000	-0.323	0.006	-0.329	-0.326	-0.323	-0.320	-0.318
EL=~Q7_14	1.000	-0.540	0.044	-0.585	-0.559	-0.531	-0.516	-0.504
SC=~Q6_11	1.000	0.429	0.049	0.377	0.412	0.451	0.457	0.463
IN=~Q4_17	1.000	0.354	0.021	0.338	0.342	0.346	0.362	0.377
IN=~Q5_1	1.000	0.451	0.032	0.422	0.434	0.447	0.466	0.483
IN=~Q5_3	1.000	0.342	0.011	0.333	0.336	0.338	0.346	0.353
IN=~Q5_4	1.000	-0.518	0.024	-0.534	-0.531	-0.528	-0.509	-0.492
IN=~Q5_5	1.000	-0.546	0.064	-0.614	-0.570	-0.522	-0.509	-0.498
IN=~Q7_7	1.000	-0.629	0.022	-0.644	-0.641	-0.637	-0.621	-0.606
IN=~Q7_12	1.000	-0.430	0.024	-0.454	-0.440	-0.425	-0.417	-0.409
IN=~Q7_13	1.000	-0.365	0.019	-0.384	-0.374	-0.363	-0.355	-0.349
IN=~Q7_14	1.000	-0.581	0.031	-0.605	-0.599	-0.592	-0.569	-0.549
Q4_10~~Q4_2	1.000	-0.251	0.039	-0.280	-0.272	-0.264	-0.235	-0.210
Q4_18~~Q4_2	1.000	0.264	0.029	0.237	0.249	0.262	0.278	0.292
Q5_1~~Q4_2	1.000	0.258	0.004	0.253	0.256	0.258	0.260	0.261
Q5_5~~Q4_2	1.000	-0.316	0.032	-0.350	-0.327	-0.300	-0.298	-0.296
Q6_6~~Q4_2	1.000	0.232	0.025	0.207	0.220	0.234	0.245	0.254
Q6_11~~Q4_2	1.000	-0.274	0.046	-0.322	-0.293	-0.260	-0.248	-0.238
Q7_14~~Q4_2	1.000	-0.251	0.036	-0.283	-0.270	-0.256	-0.235	-0.216
Q4_4~~Q4_3	1.000	0.287	0.032	0.253	0.276	0.301	0.305	0.309
Q4_17~~Q4_3	1.000	-0.243	0.037	-0.282	-0.256	-0.228	-0.222	-0.216
Q4_17~~Q4_4	1.000	-0.269	0.032	-0.299	-0.284	-0.268	-0.253	-0.239
Q5_4~~Q4_4	1.000	0.229	0.036	0.207	0.208	0.209	0.240	0.267
Q5_5~~Q4_4	1.000	0.249	0.036	0.218	0.229	0.241	0.265	0.286
Q6_1~~Q4_4	1.000	-0.301	0.058	-0.359	-0.329	-0.295	-0.271	-0.249
Q6_11~~Q4_4	1.000	0.311	0.020	0.290	0.305	0.321	0.323	0.325
Q7_7~~Q4_4	1.000	0.223	0.028	0.202	0.208	0.213	0.234	0.253
Q4_8~~Q4_5	1.000	0.375	0.019	0.357	0.366	0.377	0.385	0.392
Q7_12~~Q4_5	1.000	-0.301	0.034	-0.333	-0.318	-0.301	-0.284	-0.269
Q7_13~~Q4_5	1.000	-0.220	0.010	-0.231	-0.224	-0.216	-0.214	-0.212
Q5_4~~Q4_8	1.000	-0.246	0.022	-0.261	-0.259	-0.256	-0.238	-0.222
Q5_5~~Q4_8	1.000	-0.213	0.001	-0.214	-0.213	-0.213	-0.213	-0.213
Q6_6~~Q4_8	1.000	0.260	0.044	0.213	0.247	0.285	0.285	0.286
Q6_11~~Q4_8	1.000	-0.292	0.070	-0.356	-0.328	-0.298	-0.259	-0.223
Q7_7~~Q4_8	1.000	-0.248	0.012	-0.259	-0.255	-0.250	-0.242	-0.235
Q7_8~~Q4_8	1.000	0.238	0.029	0.207	0.229	0.254	0.254	0.255
Q4_18~~Q4_11	1.000	-0.251	0.018	-0.270	-0.257	-0.242	-0.240	-0.238
Q4_16~~Q4_15	1.000	0.297	0.034	0.265	0.279	0.295	0.313	0.329
Q5_5~~Q4_17	1.000	-0.266	0.055	-0.322	-0.289	-0.252	-0.236	-0.221
Q6_6~~Q4_17	1.000	0.311	0.031	0.293	0.294	0.295	0.321	0.344
Q7_2~~Q4_17	1.000	0.292	0.037	0.259	0.272	0.287	0.309	0.329
Q7_7~~Q4_17	1.000	-0.241	0.055	-0.300	-0.260	-0.216	-0.209	-0.203
Q7_12~~Q4_17	1.000	-0.269	0.017	-0.288	-0.276	-0.263	-0.260	-0.256
Q7_14~~Q4_17	1.000	-0.237	0.013	-0.248	-0.244	-0.240	-0.231	-0.224
Q5_3~~Q5_1	1.000	0.301	0.016	0.285	0.292	0.300	0.309	0.316
Q5_4~~Q5_1	1.000	-0.438	0.061	-0.497	-0.468	-0.435	-0.406	-0.381
Q5_5~~Q5_1	1.000	-0.429	0.023	-0.445	-0.442	-0.439	-0.421	-0.404
Q6_1~~Q5_1	1.000	0.343	0.033	0.308	0.333	0.361	0.362	0.363
Q6_6~~Q5_1	1.000	0.282	0.017	0.266	0.273	0.281	0.291	0.299
Q7_7~~Q5_1	1.000	-0.344	0.010	-0.354	-0.349	-0.344	-0.339	-0.335
Q7_12~~Q5_1	1.000	-0.216	0.014	-0.231	-0.222	-0.211	-0.208	-0.205
Q7_14~~Q5_1	1.000	-0.293	0.035	-0.327	-0.311	-0.294	-0.276	-0.260
Q5_4~~Q5_3	1.000	-0.337	0.017	-0.349	-0.347	-0.344	-0.330	-0.318
Q5_5~~Q5_3	1.000	-0.292	0.040	-0.325	-0.315	-0.303	-0.276	-0.251
Q6_1~~Q5_3	1.000	0.348	0.022	0.324	0.339	0.355	0.360	0.365
Q6_11~~Q5_3	1.000	-0.269	0.039	-0.311	-0.281	-0.248	-0.247	-0.246
Q7_7~~Q5_3	1.000	-0.294	0.017	-0.311	-0.300	-0.288	-0.284	-0.280
Q7_12~~Q5_3	1.000	-0.285	0.023	-0.309	-0.294	-0.278	-0.272	-0.267
Q7_13~~Q5_3	1.000	-0.245	0.037	-0.282	-0.261	-0.237	-0.224	-0.213
Q7_14~~Q5_3	1.000	-0.276	0.028	-0.305	-0.286	-0.265	-0.260	-0.256
Q5_5~~Q5_4	1.000	0.578	0.026	0.551	0.571	0.593	0.593	0.594
Q5_6~~Q5_4	1.000	-0.245	0.037	-0.284	-0.261	-0.237	-0.225	-0.214
Q5_12~~Q5_4	1.000	-0.286	0.025	-0.305	-0.301	-0.296	-0.277	-0.260
Q6_1~~Q5_4	1.000	-0.372	0.020	-0.393	-0.380	-0.366	-0.361	-0.357
Q6_6~~Q5_4	1.000	-0.375	0.037	-0.409	-0.394	-0.376	-0.356	-0.338
Q6_11~~Q5_4	1.000	0.281	0.049	0.235	0.256	0.279	0.305	0.328
Q7_2~~Q5_4	1.000	-0.348	0.017	-0.366	-0.355	-0.342	-0.338	-0.335
Q7_7~~Q5_4	1.000	0.435	0.055	0.385	0.407	0.431	0.461	0.489
Q7_12~~Q5_4	1.000	0.353	0.058	0.303	0.322	0.344	0.380	0.412
Q7_13~~Q5_4	1.000	0.298	0.009	0.289	0.295	0.302	0.304	0.305
Q7_14~~Q5_4	1.000	0.435	0.045	0.408	0.408	0.409	0.448	0.483
Q5_12~~Q5_5	1.000	-0.277	0.029	-0.307	-0.288	-0.267	-0.261	-0.254
Q6_1~~Q5_5	1.000	-0.350	0.054	-0.405	-0.374	-0.340	-0.321	-0.304
Q6_6~~Q5_5	1.000	-0.377	0.007	-0.385	-0.380	-0.374	-0.373	-0.372
Q6_11~~Q5_5	1.000	0.253	0.021	0.238	0.241	0.243	0.260	0.276
Q7_7~~Q5_5	1.000	0.377	0.022	0.353	0.370	0.389	0.390	0.391
Q7_12~~Q5_5	1.000	0.392	0.020	0.371	0.385	0.401	0.404	0.405
Q7_13~~Q5_5	1.000	0.336	0.013	0.326	0.328	0.331	0.341	0.349
Q7_14~~Q5_5	1.000	0.462	0.045	0.422	0.439	0.458	0.484	0.507
Q5_8~~Q5_6	1.000	0.308	0.018	0.289	0.303	0.318	0.318	0.318
Q7_8~~Q5_6	1.000	0.262	0.019	0.242	0.254	0.268	0.272	0.276
Q7_12~~Q5_6	1.000	-0.251	0.012	-0.264	-0.255	-0.245	-0.244	-0.243
Q7_13~~Q5_6	1.000	-0.239	0.010	-0.249	-0.243	-0.235	-0.233	-0.231
Q7_14~~Q5_6	1.000	-0.239	0.025	-0.257	-0.253	-0.249	-0.230	-0.212
Q7_12~~Q5_8	1.000	-0.247	0.045	-0.294	-0.265	-0.233	-0.222	-0.212
Q7_13~~Q5_8	1.000	-0.257	0.006	-0.262	-0.260	-0.257	-0.254	-0.251
Q6_2~~Q6_1	1.000	0.257	0.039	0.216	0.239	0.266	0.278	0.289
Q6_6~~Q6_1	1.000	0.324	0.049	0.271	0.308	0.349	0.352	0.354
Q6_11~~Q6_1	1.000	-0.430	0.031	-0.464	-0.439	-0.412	-0.412	-0.412
Q7_7~~Q6_1	1.000	-0.468	0.054	-0.508	-0.499	-0.489	-0.448	-0.412
Q7_12~~Q6_1	1.000	-0.295	0.010	-0.301	-0.301	-0.301	-0.292	-0.285
Q7_14~~Q6_1	1.000	-0.387	0.016	-0.404	-0.394	-0.384	-0.379	-0.374
Q6_4~~Q6_2	1.000	0.330	0.032	0.298	0.315	0.334	0.347	0.358
Q6_7~~Q6_2	1.000	-0.331	0.032	-0.357	-0.349	-0.341	-0.319	-0.298
Q6_5~~Q6_4	1.000	-0.282	0.057	-0.342	-0.302	-0.257	-0.250	-0.243
Q7_2~~Q6_6	1.000	0.338	0.043	0.296	0.317	0.341	0.360	0.377
Q7_7~~Q6_6	1.000	-0.406	0.033	-0.425	-0.425	-0.425	-0.396	-0.370
Q7_12~~Q6_6	1.000	-0.380	0.057	-0.437	-0.406	-0.372	-0.350	-0.330
Q7_13~~Q6_6	1.000	-0.276	0.023	-0.296	-0.288	-0.280	-0.266	-0.253
Q7_14~~Q6_6	1.000	-0.341	0.027	-0.369	-0.353	-0.336	-0.326	-0.317
Q7_7~~Q6_11	1.000	0.363	0.032	0.336	0.345	0.355	0.377	0.396
Q7_12~~Q6_11	1.000	0.306	0.031	0.279	0.290	0.302	0.321	0.337
Q7_14~~Q6_11	1.000	0.356	0.040	0.328	0.333	0.338	0.370	0.399
Q7_7~~Q7_2	1.000	-0.286	0.042	-0.330	-0.302	-0.270	-0.262	-0.255
Q7_12~~Q7_2	1.000	-0.359	0.056	-0.413	-0.388	-0.360	-0.331	-0.306
Q7_13~~Q7_2	1.000	-0.310	0.066	-0.380	-0.333	-0.280	-0.273	-0.266
Q7_14~~Q7_2	1.000	-0.316	0.063	-0.358	-0.352	-0.346	-0.294	-0.248
Q7_12~~Q7_4	1.000	-0.248	0.023	-0.267	-0.260	-0.253	-0.238	-0.224
Q7_13~~Q7_4	1.000	-0.283	0.022	-0.305	-0.294	-0.281	-0.272	-0.263
Q7_14~~Q7_4	1.000	-0.220	0.016	-0.232	-0.229	-0.226	-0.214	-0.203
Q7_12~~Q7_5	1.000	-0.219	0.007	-0.226	-0.222	-0.218	-0.215	-0.213
Q7_12~~Q7_7	1.000	0.389	0.011	0.378	0.385	0.393	0.395	0.397
Q7_13~~Q7_7	1.000	0.286	0.008	0.281	0.281	0.282	0.289	0.295
Q7_14~~Q7_7	1.000	0.373	0.021	0.356	0.361	0.367	0.382	0.395
Q7_13~~Q7_12	1.000	0.483	0.018	0.464	0.476	0.489	0.494	0.498
Q7_14~~Q7_12	1.000	0.486	0.022	0.463	0.476	0.491	0.498	0.504
Q7_14~~Q7_13	1.000	0.376	0.029	0.355	0.359	0.363	0.386	0.406
EL=~Q5_12	0.667	0.329	0.035	0.300	0.309	0.319	0.343	0.365
IN=~Q7_2	0.667	0.303	0.025	0.277	0.293	0.310	0.316	0.322
EN=~Q5_1	0.667	0.316	0.062	0.258	0.285	0.315	0.346	0.375
Q4_3~~Q4_1	0.667	0.258	0.078	0.188	0.217	0.249	0.295	0.336
Q4_5~~Q4_1	0.667	-0.194	0.056	-0.230	-0.226	-0.221	-0.176	-0.135
Q4_8~~Q4_1	0.667	-0.221	0.029	-0.251	-0.234	-0.215	-0.205	-0.197
Q4_8~~Q4_2	0.667	0.184	0.050	0.131	0.166	0.205	0.212	0.219
Q5_3~~Q4_2	0.667	0.226	0.040	0.190	0.205	0.222	0.244	0.265
Q5_4~~Q4_2	0.667	-0.214	0.049	-0.262	-0.237	-0.210	-0.189	-0.170
Q6_1~~Q4_2	0.667	0.228	0.051	0.174	0.213	0.256	0.258	0.259
Q7_7~~Q4_2	0.667	-0.256	0.055	-0.304	-0.285	-0.264	-0.231	-0.201
Q7_12~~Q4_2	0.667	-0.221	0.060	-0.271	-0.253	-0.233	-0.194	-0.159
Q4_5~~Q4_3	0.667	-0.253	0.091	-0.330	-0.302	-0.271	-0.213	-0.160
Q4_8~~Q4_3	0.667	-0.255	0.075	-0.327	-0.292	-0.252	-0.217	-0.185
Q4_9~~Q4_3	0.667	-0.236	0.086	-0.301	-0.285	-0.266	-0.203	-0.145
Q7_12~~Q4_3	0.667	0.187	0.029	0.156	0.177	0.201	0.204	0.206
Q4_10~~Q4_4	0.667	0.228	0.043	0.188	0.207	0.229	0.250	0.269
Q4_16~~Q4_4	0.667	-0.216	0.078	-0.290	-0.255	-0.216	-0.177	-0.142
Q5_1~~Q4_4	0.667	-0.223	0.028	-0.240	-0.239	-0.237	-0.214	-0.192
Q5_3~~Q4_4	0.667	-0.211	0.017	-0.226	-0.220	-0.215	-0.204	-0.194
Q5_3~~Q4_5	0.667	0.222	0.023	0.197	0.216	0.236	0.236	0.236
Q5_5~~Q4_5	0.667	-0.214	0.070	-0.264	-0.253	-0.242	-0.188	-0.139
Q6_2~~Q4_5	0.667	0.210	0.019	0.190	0.203	0.217	0.221	0.225
Q4_9~~Q4_8	0.667	0.172	0.122	0.042	0.131	0.231	0.242	0.253
Q5_8~~Q4_8	0.667	0.232	0.057	0.173	0.207	0.246	0.264	0.280
Q7_12~~Q4_8	0.667	-0.263	0.065	-0.303	-0.301	-0.299	-0.243	-0.193
Q7_14~~Q4_8	0.667	-0.231	0.032	-0.261	-0.248	-0.234	-0.216	-0.200
Q7_7~~Q4_10	0.667	0.192	0.063	0.125	0.170	0.219	0.228	0.236
Q6_4~~Q4_11	0.667	-0.202	0.018	-0.219	-0.211	-0.202	-0.193	-0.184
Q7_7~~Q4_11	0.667	0.228	0.029	0.198	0.215	0.233	0.243	0.252
Q5_12~~Q4_15	0.667	0.224	0.046	0.178	0.202	0.229	0.248	0.265
Q4_17~~Q4_16	0.667	0.261	0.054	0.203	0.245	0.291	0.292	0.294
Q5_12~~Q4_16	0.667	0.233	0.087	0.143	0.197	0.257	0.281	0.303
Q6_1~~Q4_17	0.667	0.218	0.042	0.175	0.201	0.229	0.241	0.252
Q6_11~~Q4_17	0.667	-0.214	0.040	-0.256	-0.229	-0.201	-0.192	-0.184
Q7_13~~Q4_17	0.667	-0.210	0.056	-0.267	-0.236	-0.200	-0.180	-0.162
Q6_11~~Q4_18	0.667	-0.205	0.038	-0.242	-0.224	-0.205	-0.187	-0.169
Q7_7~~Q4_18	0.667	-0.255	0.081	-0.340	-0.286	-0.226	-0.209	-0.193
Q7_14~~Q4_18	0.667	-0.192	0.054	-0.237	-0.222	-0.206	-0.169	-0.137
Q5_2~~Q5_1	0.667	0.195	0.050	0.144	0.172	0.204	0.221	0.237
Q6_11~~Q5_1	0.667	-0.220	0.061	-0.271	-0.253	-0.232	-0.193	-0.157
Q7_2~~Q5_1	0.667	0.220	0.040	0.179	0.204	0.231	0.242	0.253
Q7_5~~Q5_1	0.667	0.173	0.050	0.119	0.158	0.201	0.202	0.202
Q7_13~~Q5_1	0.667	-0.212	0.015	-0.225	-0.220	-0.215	-0.205	-0.197
Q5_8~~Q5_2	0.667	-0.221	0.073	-0.277	-0.262	-0.245	-0.192	-0.144
Q7_2~~Q5_3	0.667	0.238	0.063	0.192	0.202	0.214	0.262	0.305
Q5_6~~Q5_5	0.667	-0.208	0.046	-0.237	-0.235	-0.232	-0.194	-0.159
Q7_7~~Q5_6	0.667	-0.179	0.061	-0.221	-0.214	-0.205	-0.158	-0.114
Q7_8~~Q5_8	0.667	0.216	0.020	0.198	0.206	0.215	0.226	0.235
Q6_7~~Q5_12	0.667	0.255	0.051	0.200	0.238	0.281	0.284	0.288
Q7_2~~Q6_1	0.667	0.222	0.028	0.194	0.209	0.226	0.237	0.247
Q6_3~~Q6_2	0.667	0.198	0.038	0.157	0.185	0.217	0.220	0.223
Q6_11~~Q6_3	0.667	-0.207	0.027	-0.230	-0.222	-0.213	-0.195	-0.180
Q6_7~~Q6_4	0.667	-0.284	0.100	-0.366	-0.339	-0.308	-0.241	-0.181
Q6_11~~Q6_6	0.667	-0.204	0.035	-0.237	-0.222	-0.204	-0.186	-0.170
Q7_5~~Q6_8	0.667	0.206	0.138	0.061	0.153	0.256	0.285	0.310
Q7_5~~Q6_11	0.667	-0.192	0.025	-0.207	-0.206	-0.206	-0.184	-0.165
Q7_14~~Q7_5	0.667	-0.206	0.057	-0.259	-0.235	-0.208	-0.178	-0.151
IN=~Q4_2	0.333	0.221	0.073	0.174	0.180	0.186	0.245	0.299
IN=~Q5_12	0.333	0.229	0.083	0.147	0.190	0.239	0.273	0.304
EN=~Q6_11	0.333	0.268	0.074	0.220	0.225	0.231	0.292	0.347
Q4_9~~Q4_1	0.333	-0.184	0.080	-0.257	-0.225	-0.189	-0.145	-0.106
Q4_9~~Q4_2	0.333	-0.184	0.033	-0.219	-0.195	-0.168	-0.164	-0.161
Q4_11~~Q4_2	0.333	-0.190	0.056	-0.242	-0.220	-0.195	-0.163	-0.135
Q4_17~~Q4_2	0.333	0.105	0.115	0.007	0.043	0.082	0.156	0.222
Q5_6~~Q4_2	0.333	0.222	0.105	0.140	0.164	0.189	0.265	0.332
Q6_2~~Q4_2	0.333	0.162	0.077	0.083	0.130	0.181	0.205	0.225
Q7_5~~Q4_2	0.333	0.155	0.060	0.109	0.121	0.135	0.179	0.218
Q6_7~~Q4_3	0.333	-0.167	0.058	-0.223	-0.196	-0.166	-0.137	-0.112
Q6_11~~Q4_3	0.333	0.141	0.072	0.069	0.108	0.151	0.180	0.205
Q7_5~~Q4_3	0.333	-0.189	0.053	-0.245	-0.206	-0.162	-0.158	-0.155
Q4_5~~Q4_4	0.333	-0.141	0.142	-0.256	-0.219	-0.179	-0.081	0.007
Q4_8~~Q4_4	0.333	-0.197	0.018	-0.217	-0.204	-0.191	-0.187	-0.183
Q4_15~~Q4_4	0.333	-0.179	0.040	-0.220	-0.197	-0.171	-0.157	-0.145
Q6_6~~Q4_4	0.333	-0.170	0.027	-0.198	-0.179	-0.158	-0.154	-0.151
Q7_13~~Q4_4	0.333	0.145	0.050	0.114	0.116	0.118	0.160	0.198
Q4_17~~Q4_5	0.333	0.184	0.026	0.168	0.169	0.171	0.192	0.211
Q5_8~~Q4_5	0.333	0.187	0.106	0.120	0.126	0.133	0.221	0.300
Q4_11~~Q4_8	0.333	-0.189	0.019	-0.206	-0.200	-0.192	-0.181	-0.170
Q4_17~~Q4_8	0.333	0.166	0.040	0.136	0.143	0.152	0.181	0.207
Q6_1~~Q4_8	0.333	0.176	0.056	0.142	0.144	0.145	0.193	0.236
Q7_13~~Q4_8	0.333	-0.196	0.029	-0.227	-0.206	-0.183	-0.180	-0.177
Q6_8~~Q4_9	0.333	-0.159	0.052	-0.212	-0.183	-0.151	-0.131	-0.114
Q7_2~~Q4_9	0.333	0.173	0.033	0.139	0.159	0.182	0.191	0.200
Q4_17~~Q4_10	0.333	-0.194	0.031	-0.222	-0.210	-0.196	-0.179	-0.164
Q4_18~~Q4_10	0.333	-0.188	0.016	-0.204	-0.195	-0.184	-0.180	-0.175
Q5_1~~Q4_10	0.333	-0.147	0.063	-0.214	-0.167	-0.114	-0.110	-0.107
Q5_3~~Q4_10	0.333	-0.186	0.031	-0.215	-0.201	-0.185	-0.170	-0.157
Q5_4~~Q4_10	0.333	0.188	0.061	0.126	0.160	0.199	0.221	0.241
Q5_5~~Q4_10	0.333	0.171	0.044	0.131	0.148	0.168	0.192	0.214
Q6_1~~Q4_10	0.333	-0.185	0.042	-0.228	-0.203	-0.176	-0.162	-0.151
Q6_11~~Q4_10	0.333	0.205	0.024	0.189	0.191	0.193	0.213	0.231
Q7_14~~Q4_10	0.333	0.208	0.052	0.167	0.179	0.193	0.230	0.263
Q4_15~~Q4_11	0.333	-0.159	0.059	-0.222	-0.182	-0.137	-0.126	-0.116
Q6_7~~Q4_11	0.333	0.150	0.067	0.080	0.125	0.175	0.188	0.201
Q6_8~~Q4_11	0.333	0.132	0.101	0.030	0.085	0.147	0.186	0.221
Q6_3~~Q4_16	0.333	-0.120	0.087	-0.209	-0.156	-0.098	-0.072	-0.049
Q4_18~~Q4_17	0.333	0.203	0.043	0.176	0.178	0.180	0.216	0.249
Q5_4~~Q4_17	0.333	-0.180	0.055	-0.223	-0.211	-0.197	-0.158	-0.123
Q5_4~~Q4_18	0.333	-0.179	0.031	-0.201	-0.197	-0.192	-0.168	-0.146
Q5_6~~Q4_18	0.333	0.159	0.052	0.109	0.134	0.161	0.186	0.208
Q7_12~~Q4_18	0.333	-0.153	0.063	-0.203	-0.188	-0.172	-0.127	-0.087
Q7_4~~Q5_1	0.333	0.122	0.088	0.040	0.077	0.117	0.165	0.207
Q5_3~~Q5_2	0.333	0.186	0.031	0.162	0.169	0.177	0.199	0.219
Q5_6~~Q5_2	0.333	-0.132	0.065	-0.202	-0.153	-0.098	-0.095	-0.092
Q7_5~~Q5_2	0.333	-0.101	0.114	-0.218	-0.151	-0.077	-0.040	-0.006
Q6_6~~Q5_3	0.333	0.182	0.032	0.149	0.173	0.199	0.201	0.202
Q7_5~~Q5_4	0.333	-0.171	0.034	-0.207	-0.186	-0.163	-0.152	-0.143
Q7_8~~Q5_4	0.333	-0.178	0.075	-0.255	-0.212	-0.164	-0.138	-0.114
Q5_8~~Q5_5	0.333	-0.149	0.057	-0.209	-0.171	-0.128	-0.117	-0.107
Q7_2~~Q5_5	0.333	-0.194	0.049	-0.246	-0.209	-0.168	-0.166	-0.164
Q7_5~~Q5_5	0.333	-0.156	0.046	-0.205	-0.171	-0.132	-0.129	-0.126
Q6_6~~Q5_6	0.333	0.184	0.070	0.116	0.150	0.188	0.220	0.248
Q7_4~~Q5_6	0.333	0.153	0.077	0.091	0.111	0.133	0.186	0.233
Q6_3~~Q5_8	0.333	-0.080	0.117	-0.205	-0.117	-0.020	-0.013	-0.007
Q6_6~~Q5_8	0.333	0.152	0.048	0.121	0.125	0.129	0.169	0.204
Q6_8~~Q5_8	0.333	-0.071	0.117	-0.195	-0.115	-0.026	-0.005	0.014
Q7_2~~Q5_8	0.333	0.072	0.117	-0.001	0.005	0.011	0.109	0.198
Q7_7~~Q5_12	0.333	-0.169	0.048	-0.200	-0.196	-0.192	-0.152	-0.117
Q7_8~~Q5_12	0.333	0.146	0.054	0.095	0.119	0.145	0.173	0.198
Q6_3~~Q6_1	0.333	0.153	0.044	0.123	0.128	0.133	0.168	0.200
Q7_13~~Q6_1	0.333	-0.183	0.038	-0.224	-0.198	-0.169	-0.162	-0.155
Q7_4~~Q6_2	0.333	0.180	0.064	0.127	0.145	0.166	0.208	0.246
Q7_7~~Q6_3	0.333	-0.167	0.057	-0.204	-0.200	-0.196	-0.148	-0.106
Q6_8~~Q6_4	0.333	0.158	0.073	0.087	0.121	0.159	0.195	0.227
Q7_8~~Q6_4	0.333	-0.185	0.016	-0.202	-0.190	-0.176	-0.176	-0.176
Q6_7~~Q6_5	0.333	0.182	0.026	0.158	0.170	0.183	0.195	0.207
Q7_4~~Q6_8	0.333	0.138	0.066	0.081	0.103	0.127	0.168	0.205
Q7_2~~Q6_11	0.333	-0.169	0.081	-0.233	-0.214	-0.193	-0.136	-0.084
Q7_5~~Q7_4	0.333	0.187	0.027	0.169	0.171	0.174	0.196	0.216
Q7_8~~Q7_5	0.333	0.132	0.073	0.087	0.090	0.093	0.154	0.210
Q7_14~~Q7_8	0.333	-0.162	0.068	-0.211	-0.200	-0.189	-0.137	-0.090
EL=~Q5_2	0.000	0.024	0.037	-0.015	0.007	0.032	0.044	0.055
EL=~Q5_6	0.000	0.120	0.075	0.040	0.096	0.159	0.164	0.168
EL=~Q5_8	0.000	0.087	0.053	0.031	0.069	0.110	0.117	0.124
EL=~Q6_2	0.000	0.070	0.074	0.012	0.028	0.047	0.099	0.147
EL=~Q6_3	0.000	-0.002	0.042	-0.032	-0.026	-0.020	0.013	0.043
EL=~Q6_4	0.000	-0.074	0.013	-0.087	-0.079	-0.070	-0.067	-0.064
EL=~Q6_5	0.000	0.053	0.058	0.006	0.021	0.037	0.078	0.114
EL=~Q6_7	0.000	0.019	0.010	0.010	0.014	0.020	0.024	0.028
EL=~Q6_8	0.000	0.004	0.035	-0.019	-0.016	-0.014	0.015	0.042
EL=~Q6_11	0.000	-0.187	0.058	-0.247	-0.212	-0.173	-0.155	-0.140
EL=~Q7_2	0.000	0.239	0.038	0.209	0.218	0.228	0.255	0.279
EL=~Q7_4	0.000	0.112	0.062	0.045	0.093	0.145	0.148	0.150
EL=~Q7_5	0.000	0.107	0.026	0.091	0.092	0.092	0.114	0.135
EL=~Q7_8	0.000	0.087	0.047	0.038	0.069	0.103	0.114	0.123
SC=~Q4_1	0.000	-0.068	0.059	-0.112	-0.101	-0.090	-0.046	-0.006
SC=~Q4_2	0.000	-0.074	0.092	-0.147	-0.125	-0.101	-0.036	0.022
SC=~Q4_3	0.000	-0.111	0.032	-0.145	-0.122	-0.096	-0.092	-0.088
SC=~Q4_4	0.000	0.029	0.082	-0.036	-0.016	0.006	0.063	0.114
SC=~Q4_5	0.000	0.013	0.045	-0.027	-0.010	0.008	0.035	0.058
SC=~Q4_8	0.000	0.059	0.036	0.038	0.039	0.039	0.070	0.098
SC=~Q4_9	0.000	0.130	0.066	0.062	0.101	0.144	0.166	0.186
SC=~Q4_10	0.000	0.058	0.069	0.000	0.021	0.044	0.089	0.129
SC=~Q4_11	0.000	0.090	0.066	0.046	0.052	0.058	0.112	0.160
SC=~Q4_15	0.000	0.024	0.031	-0.007	0.009	0.027	0.040	0.052
SC=~Q4_16	0.000	0.165	0.036	0.127	0.154	0.184	0.186	0.188
SC=~Q4_17	0.000	0.047	0.073	-0.008	0.006	0.022	0.075	0.124
SC=~Q4_18	0.000	-0.083	0.051	-0.135	-0.105	-0.072	-0.055	-0.039
SC=~Q6_1	0.000	-0.096	0.029	-0.116	-0.113	-0.109	-0.086	-0.066
SC=~Q6_2	0.000	-0.042	0.065	-0.099	-0.077	-0.052	-0.012	0.024
SC=~Q6_3	0.000	-0.234	0.042	-0.276	-0.254	-0.229	-0.212	-0.197
SC=~Q6_4	0.000	0.026	0.041	0.001	0.002	0.004	0.039	0.070
SC=~Q6_5	0.000	0.093	0.033	0.057	0.082	0.111	0.112	0.113
SC=~Q6_6	0.000	0.019	0.030	-0.010	0.005	0.022	0.035	0.047
SC=~Q6_7	0.000	0.026	0.041	-0.016	0.008	0.034	0.048	0.060
SC=~Q6_8	0.000	-0.046	0.047	-0.081	-0.072	-0.063	-0.028	0.003
SC=~Q7_2	0.000	0.050	0.023	0.025	0.043	0.062	0.063	0.064
SC=~Q7_4	0.000	-0.060	0.012	-0.073	-0.065	-0.057	-0.054	-0.051
SC=~Q7_5	0.000	0.083	0.122	-0.027	0.020	0.072	0.141	0.203
SC=~Q7_7	0.000	-0.006	0.057	-0.042	-0.038	-0.034	0.013	0.055
SC=~Q7_8	0.000	-0.020	0.051	-0.058	-0.048	-0.038	0.000	0.034
SC=~Q7_12	0.000	-0.031	0.073	-0.108	-0.052	0.010	0.011	0.012
SC=~Q7_13	0.000	-0.068	0.081	-0.118	-0.115	-0.111	-0.043	0.019
SC=~Q7_14	0.000	0.173	0.049	0.121	0.158	0.199	0.201	0.202
IN=~Q4_1	0.000	-0.014	0.056	-0.069	-0.041	-0.009	0.015	0.037
IN=~Q4_3	0.000	-0.117	0.022	-0.140	-0.127	-0.113	-0.105	-0.098
IN=~Q4_4	0.000	-0.235	0.020	-0.255	-0.245	-0.233	-0.224	-0.217
IN=~Q4_5	0.000	0.108	0.026	0.085	0.093	0.103	0.119	0.134
IN=~Q4_8	0.000	0.218	0.035	0.182	0.204	0.228	0.237	0.246
IN=~Q4_9	0.000	0.011	0.053	-0.031	-0.018	-0.004	0.033	0.066
IN=~Q4_10	0.000	-0.137	0.010	-0.148	-0.141	-0.133	-0.132	-0.130
IN=~Q4_11	0.000	-0.094	0.028	-0.110	-0.110	-0.109	-0.085	-0.063
IN=~Q4_15	0.000	0.092	0.014	0.077	0.087	0.098	0.100	0.103
IN=~Q4_16	0.000	0.104	0.006	0.098	0.101	0.105	0.107	0.109
IN=~Q4_18	0.000	0.136	0.009	0.128	0.131	0.133	0.140	0.145
IN=~Q5_2	0.000	0.066	0.058	0.006	0.042	0.081	0.098	0.114
IN=~Q5_6	0.000	0.146	0.042	0.119	0.122	0.125	0.160	0.191
IN=~Q5_8	0.000	0.106	0.048	0.072	0.079	0.086	0.123	0.157
IN=~Q7_4	0.000	0.129	0.033	0.108	0.110	0.113	0.140	0.165
IN=~Q7_5	0.000	0.154	0.029	0.123	0.144	0.166	0.171	0.175
IN=~Q7_8	0.000	0.069	0.032	0.035	0.057	0.081	0.087	0.094
EN=~Q4_1	0.000	-0.015	0.029	-0.045	-0.027	-0.007	0.001	0.008
EN=~Q4_2	0.000	-0.034	0.032	-0.053	-0.053	-0.052	-0.025	0.000
EN=~Q4_3	0.000	-0.118	0.100	-0.187	-0.175	-0.162	-0.083	-0.011
EN=~Q4_4	0.000	-0.042	0.018	-0.055	-0.053	-0.049	-0.036	-0.024
EN=~Q4_5	0.000	0.032	0.057	-0.029	0.012	0.057	0.065	0.072
EN=~Q4_8	0.000	0.099	0.127	-0.028	0.041	0.118	0.167	0.211
EN=~Q4_9	0.000	0.093	0.089	-0.002	0.064	0.138	0.145	0.151
EN=~Q4_10	0.000	0.038	0.103	-0.046	-0.018	0.014	0.082	0.144
EN=~Q4_11	0.000	0.166	0.041	0.123	0.150	0.179	0.189	0.197
EN=~Q4_15	0.000	0.002	0.043	-0.040	-0.019	0.004	0.024	0.041
EN=~Q4_16	0.000	0.076	0.065	0.017	0.041	0.068	0.106	0.140
EN=~Q4_17	0.000	0.105	0.075	0.038	0.066	0.096	0.140	0.179
EN=~Q4_18	0.000	-0.079	0.037	-0.118	-0.094	-0.066	-0.059	-0.052
EN=~Q5_2	0.000	0.063	0.050	0.013	0.041	0.072	0.090	0.106
EN=~Q5_3	0.000	0.094	0.062	0.033	0.063	0.096	0.125	0.152
EN=~Q5_4	0.000	-0.268	0.044	-0.299	-0.293	-0.287	-0.252	-0.221
EN=~Q5_5	0.000	-0.185	0.049	-0.237	-0.204	-0.167	-0.158	-0.149
EN=~Q5_6	0.000	0.075	0.036	0.050	0.054	0.059	0.088	0.113
EN=~Q5_8	0.000	0.038	0.075	-0.042	0.016	0.080	0.082	0.083
EN=~Q5_12	0.000	0.260	0.047	0.210	0.246	0.285	0.287	0.289
EN=~Q6_1	0.000	-0.017	0.102	-0.105	-0.073	-0.037	0.028	0.086
EN=~Q6_2	0.000	-0.107	0.081	-0.193	-0.140	-0.081	-0.062	-0.044
EN=~Q6_3	0.000	-0.126	0.029	-0.150	-0.142	-0.134	-0.114	-0.097
EN=~Q6_4	0.000	-0.095	0.052	-0.145	-0.122	-0.096	-0.069	-0.046
EN=~Q6_5	0.000	0.144	0.102	0.039	0.099	0.165	0.199	0.230
EN=~Q6_6	0.000	0.176	0.016	0.159	0.169	0.180	0.185	0.190
EN=~Q6_7	0.000	0.048	0.012	0.036	0.043	0.050	0.055	0.060
EN=~Q6_8	0.000	-0.003	0.118	-0.114	-0.063	-0.006	0.055	0.110
Q4_2~~Q4_1	0.000	0.135	0.052	0.095	0.106	0.118	0.156	0.190
Q4_4~~Q4_1	0.000	0.114	0.042	0.077	0.091	0.106	0.133	0.157
Q4_10~~Q4_1	0.000	0.054	0.019	0.036	0.044	0.052	0.063	0.073
Q4_11~~Q4_1	0.000	0.024	0.074	-0.048	-0.012	0.028	0.062	0.093
Q4_15~~Q4_1	0.000	-0.107	0.064	-0.164	-0.140	-0.114	-0.077	-0.044
Q4_16~~Q4_1	0.000	0.097	0.083	0.014	0.058	0.107	0.141	0.171
Q4_17~~Q4_1	0.000	-0.065	0.039	-0.107	-0.076	-0.043	-0.042	-0.042
Q4_18~~Q4_1	0.000	0.037	0.080	-0.031	-0.007	0.019	0.072	0.119
Q5_1~~Q4_1	0.000	-0.027	0.024	-0.053	-0.034	-0.013	-0.013	-0.013
Q5_2~~Q4_1	0.000	0.048	0.080	0.001	0.002	0.003	0.072	0.133
Q5_3~~Q4_1	0.000	-0.022	0.063	-0.082	-0.055	-0.024	0.009	0.039
Q5_4~~Q4_1	0.000	0.109	0.039	0.068	0.095	0.126	0.132	0.137
Q5_5~~Q4_1	0.000	0.068	0.094	-0.025	0.024	0.078	0.118	0.153
Q5_6~~Q4_1	0.000	-0.009	0.100	-0.078	-0.066	-0.054	0.026	0.098
Q5_8~~Q4_1	0.000	-0.019	0.048	-0.070	-0.038	-0.003	0.008	0.018
Q5_12~~Q4_1	0.000	-0.093	0.087	-0.154	-0.143	-0.131	-0.062	0.000
Q6_1~~Q4_1	0.000	0.055	0.023	0.030	0.046	0.064	0.068	0.072
Q6_2~~Q4_1	0.000	0.003	0.033	-0.033	-0.009	0.018	0.022	0.025
Q6_3~~Q4_1	0.000	-0.030	0.060	-0.083	-0.062	-0.038	-0.002	0.030
Q6_4~~Q4_1	0.000	-0.004	0.064	-0.072	-0.026	0.024	0.033	0.041
Q6_5~~Q4_1	0.000	-0.021	0.053	-0.074	-0.045	-0.014	0.007	0.026
Q6_6~~Q4_1	0.000	-0.001	0.057	-0.035	-0.034	-0.033	0.016	0.060
Q6_7~~Q4_1	0.000	-0.114	0.072	-0.186	-0.148	-0.106	-0.076	-0.050
Q6_8~~Q4_1	0.000	-0.050	0.067	-0.094	-0.088	-0.081	-0.027	0.021
Q6_11~~Q4_1	0.000	0.072	0.042	0.047	0.048	0.050	0.085	0.117
Q7_2~~Q4_1	0.000	-0.081	0.116	-0.181	-0.143	-0.101	-0.029	0.036
Q7_4~~Q4_1	0.000	0.119	0.010	0.108	0.115	0.123	0.125	0.126
Q7_5~~Q4_1	0.000	-0.091	0.032	-0.123	-0.106	-0.086	-0.074	-0.064
Q7_7~~Q4_1	0.000	0.034	0.041	-0.010	0.019	0.052	0.057	0.062
Q7_8~~Q4_1	0.000	0.016	0.079	-0.068	-0.007	0.060	0.062	0.064
Q7_12~~Q4_1	0.000	-0.045	0.072	-0.122	-0.069	-0.010	-0.004	0.001
Q7_13~~Q4_1	0.000	0.112	0.062	0.046	0.093	0.145	0.148	0.151
Q7_14~~Q4_1	0.000	0.006	0.026	-0.022	-0.003	0.019	0.021	0.023
Q4_3~~Q4_2	0.000	0.112	0.083	0.025	0.078	0.137	0.158	0.178
Q4_4~~Q4_2	0.000	-0.147	0.025	-0.172	-0.160	-0.147	-0.135	-0.124
Q4_5~~Q4_2	0.000	0.158	0.019	0.139	0.149	0.160	0.168	0.175
Q4_15~~Q4_2	0.000	0.078	0.053	0.030	0.050	0.073	0.103	0.130
Q4_16~~Q4_2	0.000	-0.117	0.026	-0.145	-0.125	-0.103	-0.103	-0.102
Q5_2~~Q4_2	0.000	-0.008	0.022	-0.030	-0.018	-0.004	0.004	0.010
Q5_8~~Q4_2	0.000	0.057	0.031	0.024	0.048	0.073	0.075	0.076
Q5_12~~Q4_2	0.000	-0.034	0.066	-0.086	-0.071	-0.054	-0.007	0.035
Q6_3~~Q4_2	0.000	0.054	0.030	0.022	0.043	0.066	0.071	0.075
Q6_4~~Q4_2	0.000	-0.002	0.017	-0.016	-0.011	-0.005	0.006	0.015
Q6_5~~Q4_2	0.000	-0.003	0.021	-0.025	-0.011	0.005	0.009	0.014
Q6_7~~Q4_2	0.000	-0.017	0.059	-0.080	-0.035	0.015	0.017	0.019
Q6_8~~Q4_2	0.000	0.029	0.033	-0.004	0.013	0.032	0.046	0.058
Q7_2~~Q4_2	0.000	0.095	0.045	0.047	0.077	0.110	0.120	0.129
Q7_4~~Q4_2	0.000	0.068	0.063	0.012	0.036	0.062	0.098	0.131
Q7_8~~Q4_2	0.000	0.018	0.080	-0.057	-0.022	0.017	0.058	0.094
Q7_13~~Q4_2	0.000	-0.133	0.040	-0.162	-0.156	-0.150	-0.119	-0.091
Q4_10~~Q4_3	0.000	0.027	0.040	-0.005	0.006	0.017	0.044	0.069
Q4_11~~Q4_3	0.000	0.006	0.087	-0.084	-0.029	0.032	0.055	0.075
Q4_15~~Q4_3	0.000	-0.091	0.088	-0.185	-0.118	-0.043	-0.041	-0.038
Q4_16~~Q4_3	0.000	0.047	0.017	0.031	0.038	0.046	0.055	0.063
Q4_18~~Q4_3	0.000	-0.085	0.085	-0.176	-0.111	-0.039	-0.036	-0.033
Q5_1~~Q4_3	0.000	-0.075	0.084	-0.129	-0.123	-0.118	-0.048	0.015
Q5_2~~Q4_3	0.000	-0.100	0.060	-0.164	-0.122	-0.075	-0.065	-0.057
Q5_3~~Q4_3	0.000	0.105	0.084	0.028	0.061	0.098	0.145	0.188
Q5_4~~Q4_3	0.000	0.063	0.065	0.018	0.026	0.034	0.086	0.132
Q5_5~~Q4_3	0.000	0.084	0.031	0.052	0.072	0.093	0.101	0.108
Q5_6~~Q4_3	0.000	-0.095	0.050	-0.142	-0.121	-0.098	-0.071	-0.046
Q5_8~~Q4_3	0.000	-0.105	0.025	-0.132	-0.113	-0.093	-0.091	-0.088
Q5_12~~Q4_3	0.000	-0.150	0.007	-0.157	-0.153	-0.149	-0.146	-0.144
Q6_1~~Q4_3	0.000	-0.072	0.037	-0.111	-0.088	-0.063	-0.052	-0.042
Q6_2~~Q4_3	0.000	-0.063	0.071	-0.136	-0.093	-0.045	-0.024	-0.005
Q6_3~~Q4_3	0.000	-0.056	0.034	-0.088	-0.074	-0.058	-0.039	-0.023
Q6_4~~Q4_3	0.000	0.029	0.021	0.012	0.018	0.025	0.038	0.051
Q6_5~~Q4_3	0.000	-0.043	0.018	-0.062	-0.052	-0.040	-0.034	-0.028
Q6_6~~Q4_3	0.000	-0.106	0.030	-0.136	-0.121	-0.103	-0.090	-0.079
Q6_8~~Q4_3	0.000	0.065	0.043	0.019	0.050	0.085	0.090	0.095
Q7_2~~Q4_3	0.000	-0.117	0.086	-0.192	-0.163	-0.131	-0.078	-0.030
Q7_4~~Q4_3	0.000	0.016	0.018	0.005	0.006	0.006	0.021	0.035
Q7_7~~Q4_3	0.000	0.119	0.006	0.115	0.116	0.116	0.121	0.125
Q7_8~~Q4_3	0.000	-0.153	0.044	-0.191	-0.176	-0.159	-0.133	-0.109
Q7_13~~Q4_3	0.000	0.152	0.009	0.143	0.148	0.152	0.156	0.160
Q7_14~~Q4_3	0.000	0.121	0.060	0.058	0.099	0.145	0.155	0.165
Q4_9~~Q4_4	0.000	-0.103	0.019	-0.122	-0.111	-0.099	-0.093	-0.087
Q4_11~~Q4_4	0.000	0.102	0.016	0.085	0.097	0.109	0.111	0.113
Q4_18~~Q4_4	0.000	-0.130	0.019	-0.151	-0.137	-0.122	-0.119	-0.117
Q5_2~~Q4_4	0.000	-0.120	0.028	-0.148	-0.133	-0.117	-0.105	-0.094
Q5_6~~Q4_4	0.000	0.030	0.052	-0.009	0.001	0.011	0.050	0.084
Q5_8~~Q4_4	0.000	-0.030	0.029	-0.050	-0.047	-0.043	-0.020	0.001
Q5_12~~Q4_4	0.000	-0.140	0.013	-0.154	-0.144	-0.133	-0.132	-0.131
Q6_2~~Q4_4	0.000	-0.046	0.044	-0.091	-0.065	-0.035	-0.022	-0.011
Q6_3~~Q4_4	0.000	-0.047	0.030	-0.077	-0.061	-0.044	-0.031	-0.019
Q6_4~~Q4_4	0.000	0.081	0.002	0.079	0.080	0.081	0.082	0.083
Q6_5~~Q4_4	0.000	-0.064	0.064	-0.115	-0.099	-0.081	-0.037	0.003
Q6_7~~Q4_4	0.000	-0.108	0.060	-0.172	-0.126	-0.075	-0.074	-0.072
Q6_8~~Q4_4	0.000	-0.039	0.063	-0.079	-0.076	-0.073	-0.020	0.028
Q7_2~~Q4_4	0.000	-0.084	0.037	-0.122	-0.101	-0.077	-0.064	-0.053
Q7_4~~Q4_4	0.000	0.035	0.038	0.006	0.014	0.022	0.050	0.075
Q7_5~~Q4_4	0.000	-0.071	0.035	-0.103	-0.089	-0.073	-0.054	-0.036
Q7_8~~Q4_4	0.000	-0.027	0.066	-0.079	-0.065	-0.049	-0.001	0.042
Q7_12~~Q4_4	0.000	0.120	0.052	0.083	0.090	0.098	0.138	0.174
Q7_14~~Q4_4	0.000	0.153	0.026	0.129	0.139	0.150	0.165	0.178
Q4_9~~Q4_5	0.000	0.107	0.017	0.091	0.099	0.107	0.115	0.123
Q4_10~~Q4_5	0.000	-0.003	0.056	-0.061	-0.028	0.010	0.028	0.044
Q4_11~~Q4_5	0.000	-0.033	0.069	-0.090	-0.071	-0.049	-0.003	0.038
Q4_15~~Q4_5	0.000	0.069	0.079	0.002	0.026	0.054	0.104	0.150
Q4_16~~Q4_5	0.000	-0.020	0.014	-0.032	-0.028	-0.023	-0.014	-0.005
Q4_18~~Q4_5	0.000	0.056	0.068	0.000	0.019	0.040	0.085	0.126
Q5_1~~Q4_5	0.000	0.122	0.025	0.103	0.109	0.116	0.133	0.148
Q5_2~~Q4_5	0.000	0.002	0.078	-0.081	-0.025	0.037	0.047	0.056
Q5_4~~Q4_5	0.000	-0.164	0.049	-0.197	-0.192	-0.186	-0.147	-0.111
Q5_6~~Q4_5	0.000	0.125	0.023	0.101	0.116	0.133	0.138	0.143
Q5_12~~Q4_5	0.000	-0.087	0.046	-0.136	-0.103	-0.066	-0.061	-0.056
Q6_1~~Q4_5	0.000	0.094	0.038	0.066	0.073	0.081	0.109	0.134
Q6_3~~Q4_5	0.000	0.120	0.043	0.082	0.097	0.113	0.139	0.163
Q6_4~~Q4_5	0.000	-0.062	0.068	-0.113	-0.100	-0.086	-0.036	0.010
Q6_5~~Q4_5	0.000	-0.043	0.023	-0.061	-0.055	-0.049	-0.033	-0.019
Q6_6~~Q4_5	0.000	0.133	0.024	0.111	0.121	0.132	0.145	0.156
Q6_7~~Q4_5	0.000	0.088	0.041	0.063	0.064	0.065	0.100	0.131
Q6_8~~Q4_5	0.000	-0.125	0.043	-0.161	-0.149	-0.136	-0.107	-0.080
Q6_11~~Q4_5	0.000	-0.126	0.030	-0.153	-0.142	-0.130	-0.112	-0.096
Q7_2~~Q4_5	0.000	0.162	0.017	0.147	0.153	0.160	0.170	0.180
Q7_4~~Q4_5	0.000	0.016	0.063	-0.026	-0.020	-0.013	0.038	0.084
Q7_5~~Q4_5	0.000	0.017	0.054	-0.016	-0.014	-0.012	0.034	0.075
Q7_7~~Q4_5	0.000	-0.101	0.032	-0.130	-0.117	-0.102	-0.085	-0.070
Q7_8~~Q4_5	0.000	0.121	0.052	0.068	0.098	0.132	0.149	0.164
Q7_14~~Q4_5	0.000	-0.127	0.038	-0.158	-0.147	-0.135	-0.110	-0.088
Q4_10~~Q4_8	0.000	-0.107	0.029	-0.137	-0.119	-0.098	-0.091	-0.085
Q4_15~~Q4_8	0.000	0.132	0.036	0.099	0.114	0.130	0.149	0.167
Q4_16~~Q4_8	0.000	0.035	0.023	0.014	0.023	0.033	0.046	0.058
Q4_18~~Q4_8	0.000	0.103	0.058	0.042	0.079	0.120	0.135	0.149
Q5_1~~Q4_8	0.000	0.134	0.031	0.108	0.118	0.128	0.148	0.166
Q5_2~~Q4_8	0.000	-0.046	0.046	-0.095	-0.060	-0.021	-0.020	-0.019
Q5_3~~Q4_8	0.000	0.169	0.003	0.166	0.168	0.170	0.171	0.171
Q5_6~~Q4_8	0.000	0.023	0.048	-0.011	-0.004	0.004	0.041	0.074
Q5_12~~Q4_8	0.000	0.056	0.079	-0.028	0.031	0.097	0.102	0.106
Q6_2~~Q4_8	0.000	-0.046	0.030	-0.078	-0.056	-0.031	-0.029	-0.028
Q6_3~~Q4_8	0.000	0.105	0.046	0.067	0.080	0.094	0.125	0.153
Q6_4~~Q4_8	0.000	0.026	0.057	-0.020	-0.005	0.012	0.050	0.085
Q6_5~~Q4_8	0.000	0.016	0.025	-0.005	0.003	0.013	0.028	0.041
Q6_7~~Q4_8	0.000	0.054	0.063	0.000	0.020	0.043	0.082	0.117
Q6_8~~Q4_8	0.000	-0.001	0.061	-0.064	-0.027	0.014	0.033	0.050
Q7_2~~Q4_8	0.000	0.166	0.008	0.159	0.162	0.165	0.170	0.175
Q7_4~~Q4_8	0.000	-0.018	0.076	-0.099	-0.049	0.007	0.024	0.040
Q7_5~~Q4_8	0.000	0.095	0.041	0.052	0.083	0.119	0.119	0.119
Q4_10~~Q4_9	0.000	0.079	0.050	0.037	0.052	0.068	0.101	0.131
Q4_11~~Q4_9	0.000	0.078	0.054	0.020	0.060	0.104	0.109	0.114
Q4_15~~Q4_9	0.000	0.121	0.095	0.021	0.085	0.155	0.175	0.193
Q4_16~~Q4_9	0.000	-0.096	0.065	-0.159	-0.128	-0.093	-0.063	-0.036
Q4_17~~Q4_9	0.000	0.064	0.056	0.007	0.038	0.073	0.094	0.113
Q4_18~~Q4_9	0.000	0.100	0.071	0.029	0.067	0.109	0.137	0.163
Q5_1~~Q4_9	0.000	0.078	0.019	0.058	0.070	0.083	0.089	0.093
Q5_2~~Q4_9	0.000	0.009	0.011	-0.003	0.005	0.014	0.016	0.017
Q5_3~~Q4_9	0.000	-0.006	0.045	-0.040	-0.032	-0.023	0.011	0.041
Q5_4~~Q4_9	0.000	-0.027	0.072	-0.099	-0.061	-0.018	0.011	0.036
Q5_5~~Q4_9	0.000	0.041	0.025	0.026	0.026	0.026	0.048	0.067
Q5_6~~Q4_9	0.000	-0.025	0.071	-0.098	-0.054	-0.006	0.014	0.032
Q5_8~~Q4_9	0.000	-0.049	0.073	-0.113	-0.088	-0.060	-0.015	0.025
Q5_12~~Q4_9	0.000	0.055	0.083	-0.032	0.021	0.080	0.101	0.121
Q6_1~~Q4_9	0.000	0.004	0.030	-0.017	-0.013	-0.008	0.015	0.035
Q6_2~~Q4_9	0.000	0.001	0.030	-0.030	-0.010	0.012	0.017	0.023
Q6_3~~Q4_9	0.000	-0.005	0.022	-0.026	-0.016	-0.006	0.006	0.016
Q6_4~~Q4_9	0.000	0.012	0.093	-0.050	-0.041	-0.031	0.044	0.111
Q6_5~~Q4_9	0.000	0.078	0.048	0.031	0.054	0.080	0.102	0.123
Q6_6~~Q4_9	0.000	-0.007	0.089	-0.087	-0.053	-0.015	0.035	0.080
Q6_7~~Q4_9	0.000	0.055	0.027	0.028	0.043	0.058	0.069	0.079
Q6_11~~Q4_9	0.000	-0.023	0.066	-0.083	-0.057	-0.028	0.009	0.042
Q7_4~~Q4_9	0.000	-0.053	0.030	-0.084	-0.067	-0.049	-0.037	-0.027
Q7_5~~Q4_9	0.000	0.046	0.079	-0.038	0.021	0.087	0.092	0.096
Q7_7~~Q4_9	0.000	-0.069	0.008	-0.075	-0.074	-0.072	-0.066	-0.060
Q7_8~~Q4_9	0.000	-0.024	0.046	-0.073	-0.038	0.002	0.002	0.003
Q7_12~~Q4_9	0.000	0.106	0.016	0.093	0.097	0.101	0.112	0.123
Q7_13~~Q4_9	0.000	0.056	0.023	0.036	0.044	0.054	0.067	0.080
Q7_14~~Q4_9	0.000	-0.077	0.043	-0.121	-0.095	-0.066	-0.053	-0.041
Q4_11~~Q4_10	0.000	0.021	0.094	-0.050	-0.032	-0.014	0.057	0.121
Q4_15~~Q4_10	0.000	-0.098	0.056	-0.133	-0.130	-0.128	-0.081	-0.039
Q4_16~~Q4_10	0.000	0.097	0.058	0.038	0.070	0.106	0.128	0.148
Q5_2~~Q4_10	0.000	-0.050	0.013	-0.063	-0.054	-0.044	-0.042	-0.040
Q5_6~~Q4_10	0.000	-0.095	0.070	-0.169	-0.120	-0.065	-0.054	-0.045
Q5_8~~Q4_10	0.000	-0.066	0.030	-0.088	-0.084	-0.079	-0.055	-0.034
Q5_12~~Q4_10	0.000	0.045	0.087	-0.018	-0.005	0.010	0.077	0.138
Q6_2~~Q4_10	0.000	-0.050	0.057	-0.089	-0.083	-0.077	-0.031	0.011
Q6_3~~Q4_10	0.000	-0.088	0.052	-0.132	-0.116	-0.099	-0.065	-0.034
Q6_4~~Q4_10	0.000	-0.017	0.074	-0.061	-0.060	-0.059	0.005	0.062
Q6_5~~Q4_10	0.000	-0.051	0.094	-0.145	-0.095	-0.040	-0.001	0.033
Q6_6~~Q4_10	0.000	-0.124	0.065	-0.193	-0.144	-0.090	-0.087	-0.084
Q6_7~~Q4_10	0.000	0.068	0.110	-0.033	0.011	0.061	0.121	0.175
Q6_8~~Q4_10	0.000	-0.071	0.041	-0.106	-0.093	-0.079	-0.053	-0.030
Q7_2~~Q4_10	0.000	-0.061	0.071	-0.130	-0.096	-0.059	-0.025	0.006
Q7_4~~Q4_10	0.000	-0.061	0.016	-0.070	-0.070	-0.070	-0.056	-0.043
Q7_5~~Q4_10	0.000	-0.089	0.093	-0.164	-0.141	-0.115	-0.051	0.007
Q7_8~~Q4_10	0.000	0.007	0.144	-0.148	-0.036	0.088	0.090	0.091
Q7_12~~Q4_10	0.000	0.131	0.051	0.077	0.115	0.157	0.161	0.164
Q7_13~~Q4_10	0.000	0.066	0.026	0.046	0.051	0.055	0.075	0.094
Q4_16~~Q4_11	0.000	-0.111	0.026	-0.133	-0.125	-0.116	-0.099	-0.084
Q4_17~~Q4_11	0.000	-0.062	0.028	-0.090	-0.075	-0.058	-0.047	-0.037
Q5_1~~Q4_11	0.000	-0.042	0.018	-0.061	-0.050	-0.038	-0.032	-0.027
Q5_2~~Q4_11	0.000	0.087	0.121	-0.040	0.039	0.126	0.155	0.180
Q5_3~~Q4_11	0.000	-0.011	0.021	-0.031	-0.022	-0.012	-0.001	0.009
Q5_4~~Q4_11	0.000	0.049	0.024	0.024	0.040	0.057	0.063	0.068
Q5_5~~Q4_11	0.000	0.054	0.048	0.026	0.027	0.028	0.069	0.105
Q5_6~~Q4_11	0.000	-0.135	0.044	-0.175	-0.159	-0.140	-0.115	-0.091
Q5_8~~Q4_11	0.000	-0.092	0.017	-0.111	-0.098	-0.085	-0.082	-0.080
Q5_12~~Q4_11	0.000	-0.057	0.040	-0.082	-0.080	-0.078	-0.045	-0.015
Q6_1~~Q4_11	0.000	-0.167	0.030	-0.197	-0.182	-0.166	-0.152	-0.139
Q6_2~~Q4_11	0.000	-0.160	0.004	-0.164	-0.161	-0.159	-0.157	-0.156
Q6_3~~Q4_11	0.000	-0.095	0.067	-0.161	-0.127	-0.089	-0.060	-0.033
Q6_5~~Q4_11	0.000	0.107	0.069	0.044	0.071	0.100	0.140	0.175
Q6_6~~Q4_11	0.000	-0.078	0.028	-0.106	-0.092	-0.076	-0.064	-0.054
Q6_11~~Q4_11	0.000	0.102	0.018	0.085	0.094	0.103	0.111	0.118
Q7_2~~Q4_11	0.000	-0.066	0.065	-0.129	-0.097	-0.062	-0.032	-0.006
Q7_4~~Q4_11	0.000	-0.081	0.050	-0.113	-0.110	-0.107	-0.065	-0.028
Q7_5~~Q4_11	0.000	0.135	0.015	0.124	0.126	0.129	0.141	0.152
Q7_8~~Q4_11	0.000	-0.012	0.003	-0.015	-0.013	-0.011	-0.010	-0.009
Q7_12~~Q4_11	0.000	0.117	0.053	0.061	0.097	0.138	0.147	0.154
Q7_13~~Q4_11	0.000	0.069	0.032	0.035	0.057	0.081	0.087	0.092
Q7_14~~Q4_11	0.000	0.055	0.041	0.018	0.034	0.051	0.075	0.096
Q4_17~~Q4_15	0.000	0.068	0.049	0.032	0.040	0.048	0.086	0.120
Q4_18~~Q4_15	0.000	0.104	0.024	0.079	0.094	0.111	0.118	0.124
Q5_1~~Q4_15	0.000	0.108	0.015	0.092	0.103	0.115	0.117	0.119
Q5_2~~Q4_15	0.000	0.040	0.107	-0.058	-0.016	0.032	0.091	0.144
Q5_3~~Q4_15	0.000	0.133	0.037	0.109	0.112	0.114	0.145	0.172
Q5_4~~Q4_15	0.000	-0.133	0.018	-0.145	-0.144	-0.142	-0.127	-0.114
Q5_5~~Q4_15	0.000	-0.084	0.023	-0.108	-0.091	-0.072	-0.071	-0.069
Q5_6~~Q4_15	0.000	-0.009	0.075	-0.087	-0.042	0.008	0.032	0.053
Q5_8~~Q4_15	0.000	0.093	0.055	0.048	0.062	0.078	0.116	0.149
Q6_1~~Q4_15	0.000	0.125	0.009	0.116	0.121	0.126	0.130	0.133
Q6_2~~Q4_15	0.000	0.029	0.044	-0.018	0.013	0.048	0.054	0.059
Q6_3~~Q4_15	0.000	0.029	0.072	-0.021	-0.013	-0.005	0.053	0.106
Q6_4~~Q4_15	0.000	0.088	0.007	0.081	0.086	0.092	0.093	0.093
Q6_5~~Q4_15	0.000	0.045	0.066	-0.007	0.008	0.025	0.072	0.114
Q6_6~~Q4_15	0.000	-0.021	0.016	-0.037	-0.026	-0.013	-0.011	-0.010
Q6_7~~Q4_15	0.000	0.065	0.038	0.025	0.052	0.082	0.087	0.092
Q6_8~~Q4_15	0.000	-0.040	0.021	-0.062	-0.047	-0.030	-0.028	-0.025
Q6_11~~Q4_15	0.000	-0.061	0.042	-0.106	-0.076	-0.043	-0.037	-0.032
Q7_2~~Q4_15	0.000	-0.029	0.055	-0.061	-0.060	-0.060	-0.013	0.029
Q7_4~~Q4_15	0.000	-0.036	0.099	-0.133	-0.082	-0.026	0.016	0.054
Q7_5~~Q4_15	0.000	-0.013	0.068	-0.060	-0.052	-0.044	0.010	0.059
Q7_7~~Q4_15	0.000	-0.156	0.018	-0.167	-0.166	-0.166	-0.150	-0.137
Q7_8~~Q4_15	0.000	-0.035	0.027	-0.060	-0.049	-0.036	-0.022	-0.010
Q7_12~~Q4_15	0.000	-0.069	0.043	-0.114	-0.084	-0.051	-0.044	-0.038
Q7_13~~Q4_15	0.000	-0.085	0.027	-0.106	-0.100	-0.094	-0.074	-0.056
Q7_14~~Q4_15	0.000	0.053	0.063	-0.013	0.029	0.077	0.089	0.099
Q4_18~~Q4_16	0.000	0.100	0.026	0.076	0.087	0.099	0.113	0.126
Q5_1~~Q4_16	0.000	0.070	0.042	0.028	0.050	0.075	0.092	0.107
Q5_2~~Q4_16	0.000	0.050	0.066	-0.018	0.023	0.068	0.087	0.103
Q5_3~~Q4_16	0.000	0.070	0.084	-0.011	0.027	0.070	0.112	0.150
Q5_4~~Q4_16	0.000	-0.053	0.036	-0.084	-0.073	-0.060	-0.037	-0.016
Q5_5~~Q4_16	0.000	-0.043	0.014	-0.058	-0.048	-0.037	-0.035	-0.033
Q5_6~~Q4_16	0.000	-0.037	0.012	-0.048	-0.042	-0.037	-0.031	-0.026
Q5_8~~Q4_16	0.000	0.037	0.034	0.001	0.025	0.052	0.057	0.062
Q6_1~~Q4_16	0.000	0.109	0.019	0.089	0.103	0.119	0.120	0.121
Q6_2~~Q4_16	0.000	-0.054	0.039	-0.092	-0.072	-0.049	-0.033	-0.020
Q6_4~~Q4_16	0.000	0.011	0.072	-0.065	-0.010	0.052	0.053	0.053
Q6_5~~Q4_16	0.000	0.070	0.003	0.066	0.068	0.071	0.071	0.072
Q6_6~~Q4_16	0.000	0.015	0.025	-0.001	0.000	0.001	0.022	0.041
Q6_7~~Q4_16	0.000	0.042	0.038	0.018	0.021	0.023	0.055	0.083
Q6_8~~Q4_16	0.000	-0.064	0.098	-0.146	-0.118	-0.087	-0.022	0.037
Q6_11~~Q4_16	0.000	0.000	0.043	-0.043	-0.019	0.009	0.024	0.037
Q7_2~~Q4_16	0.000	-0.046	0.060	-0.083	-0.081	-0.078	-0.027	0.019
Q7_4~~Q4_16	0.000	0.002	0.022	-0.021	-0.006	0.009	0.015	0.019
Q7_5~~Q4_16	0.000	-0.089	0.005	-0.094	-0.090	-0.087	-0.086	-0.086
Q7_7~~Q4_16	0.000	-0.050	0.035	-0.087	-0.064	-0.038	-0.030	-0.023
Q7_8~~Q4_16	0.000	0.051	0.051	-0.004	0.033	0.075	0.080	0.085
Q7_12~~Q4_16	0.000	-0.016	0.047	-0.059	-0.040	-0.019	0.006	0.029
Q7_13~~Q4_16	0.000	-0.032	0.078	-0.092	-0.076	-0.058	-0.001	0.050
Q7_14~~Q4_16	0.000	-0.060	0.055	-0.115	-0.087	-0.055	-0.032	-0.010
Q5_1~~Q4_17	0.000	0.074	0.028	0.045	0.062	0.081	0.090	0.098
Q5_2~~Q4_17	0.000	0.001	0.026	-0.027	-0.008	0.014	0.016	0.017
Q5_3~~Q4_17	0.000	0.121	0.030	0.090	0.109	0.129	0.137	0.145
Q5_6~~Q4_17	0.000	0.026	0.031	0.001	0.009	0.018	0.040	0.059
Q5_8~~Q4_17	0.000	0.058	0.098	-0.044	0.017	0.084	0.112	0.137
Q5_12~~Q4_17	0.000	0.158	0.007	0.151	0.155	0.160	0.162	0.164
Q6_2~~Q4_17	0.000	-0.021	0.037	-0.044	-0.042	-0.039	-0.009	0.019
Q6_3~~Q4_17	0.000	0.097	0.048	0.053	0.072	0.092	0.119	0.144
Q6_4~~Q4_17	0.000	-0.006	0.065	-0.075	-0.032	0.015	0.030	0.044
Q6_5~~Q4_17	0.000	0.005	0.032	-0.028	-0.007	0.016	0.023	0.030
Q6_7~~Q4_17	0.000	0.086	0.084	0.021	0.038	0.057	0.119	0.174
Q6_8~~Q4_17	0.000	-0.030	0.085	-0.121	-0.055	0.018	0.019	0.021
Q7_4~~Q4_17	0.000	0.038	0.042	-0.007	0.025	0.060	0.062	0.063
Q7_5~~Q4_17	0.000	0.132	0.032	0.098	0.121	0.147	0.151	0.154
Q7_8~~Q4_17	0.000	0.091	0.074	0.023	0.052	0.083	0.126	0.164
Q5_1~~Q4_18	0.000	0.155	0.042	0.114	0.134	0.157	0.177	0.194
Q5_2~~Q4_18	0.000	0.132	0.025	0.110	0.119	0.128	0.144	0.158
Q5_3~~Q4_18	0.000	0.157	0.025	0.142	0.143	0.143	0.164	0.183
Q5_5~~Q4_18	0.000	-0.131	0.006	-0.136	-0.134	-0.132	-0.128	-0.125
Q5_8~~Q4_18	0.000	-0.005	0.010	-0.013	-0.010	-0.007	0.000	0.006
Q5_12~~Q4_18	0.000	0.120	0.053	0.069	0.094	0.123	0.147	0.170
Q6_1~~Q4_18	0.000	0.135	0.045	0.088	0.116	0.147	0.159	0.170
Q6_2~~Q4_18	0.000	0.040	0.037	0.003	0.022	0.043	0.059	0.073
Q6_3~~Q4_18	0.000	0.007	0.112	-0.064	-0.058	-0.050	0.043	0.126
Q6_4~~Q4_18	0.000	-0.099	0.043	-0.143	-0.117	-0.089	-0.075	-0.062
Q6_5~~Q4_18	0.000	0.017	0.025	-0.009	0.009	0.030	0.031	0.032
Q6_6~~Q4_18	0.000	0.145	0.029	0.125	0.129	0.133	0.155	0.175
Q6_7~~Q4_18	0.000	0.094	0.047	0.061	0.067	0.074	0.111	0.144
Q6_8~~Q4_18	0.000	0.090	0.031	0.061	0.074	0.090	0.106	0.120
Q7_2~~Q4_18	0.000	0.115	0.043	0.070	0.098	0.130	0.140	0.149
Q7_4~~Q4_18	0.000	0.162	0.032	0.132	0.146	0.161	0.178	0.193
Q7_5~~Q4_18	0.000	0.133	0.043	0.093	0.111	0.130	0.154	0.175
Q7_8~~Q4_18	0.000	-0.102	0.037	-0.131	-0.123	-0.115	-0.088	-0.063
Q7_13~~Q4_18	0.000	-0.120	0.044	-0.163	-0.140	-0.115	-0.097	-0.080
Q5_6~~Q5_1	0.000	0.032	0.028	0.004	0.019	0.034	0.046	0.057
Q5_8~~Q5_1	0.000	0.070	0.035	0.047	0.050	0.053	0.082	0.108
Q5_12~~Q5_1	0.000	0.128	0.068	0.058	0.100	0.145	0.166	0.184
Q6_2~~Q5_1	0.000	0.006	0.055	-0.049	-0.019	0.015	0.036	0.055
Q6_3~~Q5_1	0.000	0.080	0.013	0.071	0.072	0.074	0.084	0.093
Q6_4~~Q5_1	0.000	-0.026	0.047	-0.070	-0.050	-0.028	-0.002	0.020
Q6_5~~Q5_1	0.000	-0.050	0.087	-0.106	-0.101	-0.094	-0.022	0.043
Q6_7~~Q5_1	0.000	-0.006	0.049	-0.057	-0.025	0.012	0.022	0.031
Q6_8~~Q5_1	0.000	0.009	0.043	-0.038	-0.005	0.031	0.034	0.036
Q7_8~~Q5_1	0.000	0.067	0.009	0.057	0.063	0.069	0.072	0.075
Q5_4~~Q5_2	0.000	-0.023	0.048	-0.064	-0.049	-0.032	-0.001	0.026
Q5_5~~Q5_2	0.000	-0.048	0.050	-0.101	-0.066	-0.028	-0.020	-0.012
Q5_12~~Q5_2	0.000	0.009	0.050	-0.038	-0.016	0.008	0.033	0.056
Q6_1~~Q5_2	0.000	0.013	0.023	-0.011	0.002	0.017	0.025	0.033
Q6_2~~Q5_2	0.000	0.034	0.048	-0.004	0.008	0.021	0.054	0.084
Q6_3~~Q5_2	0.000	0.060	0.072	-0.017	0.038	0.101	0.102	0.102
Q6_4~~Q5_2	0.000	0.116	0.010	0.110	0.110	0.110	0.119	0.127
Q6_5~~Q5_2	0.000	-0.032	0.022	-0.045	-0.044	-0.043	-0.025	-0.009
Q6_6~~Q5_2	0.000	0.085	0.055	0.028	0.061	0.098	0.115	0.130
Q6_7~~Q5_2	0.000	-0.095	0.097	-0.187	-0.145	-0.097	-0.047	-0.002
Q6_8~~Q5_2	0.000	0.032	0.065	-0.023	-0.003	0.019	0.061	0.099
Q6_11~~Q5_2	0.000	-0.007	0.053	-0.059	-0.034	-0.006	0.020	0.043
Q7_2~~Q5_2	0.000	0.122	0.022	0.103	0.110	0.118	0.132	0.145
Q7_4~~Q5_2	0.000	0.011	0.004	0.007	0.010	0.013	0.013	0.014
Q7_7~~Q5_2	0.000	-0.104	0.027	-0.133	-0.114	-0.093	-0.089	-0.085
Q7_8~~Q5_2	0.000	-0.184	0.009	-0.193	-0.188	-0.182	-0.179	-0.176
Q7_12~~Q5_2	0.000	0.023	0.078	-0.043	-0.019	0.008	0.058	0.103
Q7_13~~Q5_2	0.000	0.012	0.009	0.002	0.008	0.015	0.017	0.018
Q7_14~~Q5_2	0.000	0.060	0.037	0.026	0.041	0.057	0.078	0.097
Q5_6~~Q5_3	0.000	0.125	0.021	0.106	0.114	0.122	0.135	0.146
Q5_8~~Q5_3	0.000	0.116	0.064	0.077	0.080	0.083	0.136	0.184
Q5_12~~Q5_3	0.000	0.014	0.038	-0.025	-0.004	0.018	0.034	0.048
Q6_2~~Q5_3	0.000	0.123	0.030	0.090	0.114	0.139	0.140	0.141
Q6_3~~Q5_3	0.000	0.061	0.019	0.047	0.050	0.054	0.068	0.080
Q6_4~~Q5_3	0.000	0.089	0.047	0.042	0.068	0.096	0.114	0.130
Q6_5~~Q5_3	0.000	0.024	0.033	0.001	0.005	0.010	0.036	0.059
Q6_7~~Q5_3	0.000	-0.036	0.076	-0.094	-0.078	-0.061	-0.006	0.044
Q6_8~~Q5_3	0.000	-0.049	0.052	-0.092	-0.078	-0.062	-0.027	0.004
Q7_4~~Q5_3	0.000	0.018	0.040	-0.024	0.006	0.040	0.041	0.042
Q7_5~~Q5_3	0.000	0.099	0.062	0.049	0.064	0.081	0.124	0.163
Q7_8~~Q5_3	0.000	0.060	0.063	-0.006	0.033	0.077	0.095	0.110
Q5_8~~Q5_4	0.000	-0.135	0.039	-0.165	-0.157	-0.148	-0.120	-0.094
Q6_2~~Q5_4	0.000	-0.060	0.029	-0.078	-0.077	-0.076	-0.051	-0.030
Q6_3~~Q5_4	0.000	-0.073	0.048	-0.124	-0.091	-0.056	-0.046	-0.037
Q6_4~~Q5_4	0.000	0.067	0.045	0.025	0.044	0.065	0.089	0.110
Q6_5~~Q5_4	0.000	0.077	0.030	0.054	0.061	0.068	0.089	0.109
Q6_7~~Q5_4	0.000	0.068	0.045	0.038	0.043	0.048	0.084	0.116
Q6_8~~Q5_4	0.000	-0.134	0.015	-0.150	-0.140	-0.129	-0.126	-0.123
Q7_4~~Q5_4	0.000	-0.097	0.075	-0.157	-0.139	-0.118	-0.065	-0.018
Q6_2~~Q5_5	0.000	-0.068	0.043	-0.112	-0.086	-0.056	-0.044	-0.033
Q6_3~~Q5_5	0.000	-0.121	0.016	-0.131	-0.131	-0.131	-0.116	-0.104
Q6_4~~Q5_5	0.000	0.009	0.050	-0.020	-0.019	-0.019	0.024	0.062
Q6_5~~Q5_5	0.000	-0.032	0.047	-0.071	-0.057	-0.043	-0.011	0.017
Q6_7~~Q5_5	0.000	-0.042	0.038	-0.079	-0.061	-0.040	-0.023	-0.008
Q6_8~~Q5_5	0.000	0.053	0.019	0.042	0.042	0.042	0.059	0.073
Q7_4~~Q5_5	0.000	-0.125	0.026	-0.151	-0.137	-0.121	-0.111	-0.102
Q7_8~~Q5_5	0.000	-0.161	0.041	-0.188	-0.185	-0.181	-0.147	-0.116
Q5_12~~Q5_6	0.000	0.098	0.037	0.058	0.084	0.113	0.119	0.125
Q6_1~~Q5_6	0.000	0.080	0.034	0.047	0.064	0.084	0.098	0.111
Q6_2~~Q5_6	0.000	0.042	0.080	-0.043	0.018	0.086	0.088	0.090
Q6_3~~Q5_6	0.000	0.015	0.021	0.000	0.003	0.006	0.023	0.038
Q6_4~~Q5_6	0.000	-0.059	0.055	-0.114	-0.084	-0.051	-0.029	-0.010
Q6_5~~Q5_6	0.000	0.008	0.015	-0.008	0.000	0.009	0.016	0.022
Q6_7~~Q5_6	0.000	-0.096	0.054	-0.133	-0.127	-0.119	-0.077	-0.038
Q6_8~~Q5_6	0.000	-0.096	0.038	-0.136	-0.112	-0.085	-0.075	-0.067
Q6_11~~Q5_6	0.000	-0.055	0.085	-0.104	-0.103	-0.103	-0.030	0.036
Q7_2~~Q5_6	0.000	0.059	0.032	0.026	0.046	0.067	0.077	0.085
Q7_5~~Q5_6	0.000	0.081	0.015	0.066	0.074	0.083	0.089	0.094
Q5_12~~Q5_8	0.000	0.163	0.046	0.114	0.144	0.177	0.188	0.199
Q6_1~~Q5_8	0.000	0.127	0.021	0.112	0.115	0.118	0.135	0.150
Q6_2~~Q5_8	0.000	0.068	0.045	0.022	0.048	0.078	0.092	0.105
Q6_4~~Q5_8	0.000	0.019	0.105	-0.092	-0.018	0.064	0.079	0.092
Q6_5~~Q5_8	0.000	-0.026	0.073	-0.097	-0.061	-0.020	0.012	0.041
Q6_7~~Q5_8	0.000	0.067	0.015	0.051	0.063	0.075	0.075	0.076
Q6_11~~Q5_8	0.000	-0.056	0.084	-0.120	-0.103	-0.085	-0.023	0.033
Q7_4~~Q5_8	0.000	-0.096	0.016	-0.112	-0.103	-0.092	-0.087	-0.083
Q7_5~~Q5_8	0.000	0.088	0.103	0.000	0.032	0.066	0.133	0.193
Q7_7~~Q5_8	0.000	-0.088	0.063	-0.142	-0.122	-0.101	-0.060	-0.024
Q7_14~~Q5_8	0.000	-0.132	0.024	-0.153	-0.145	-0.136	-0.121	-0.107
Q6_1~~Q5_12	0.000	0.065	0.069	-0.008	0.037	0.088	0.104	0.119
Q6_2~~Q5_12	0.000	-0.006	0.113	-0.085	-0.071	-0.056	0.033	0.113
Q6_3~~Q5_12	0.000	-0.098	0.069	-0.171	-0.121	-0.065	-0.058	-0.053
Q6_4~~Q5_12	0.000	-0.141	0.059	-0.182	-0.174	-0.167	-0.120	-0.078
Q6_5~~Q5_12	0.000	0.059	0.062	0.006	0.026	0.048	0.087	0.123
Q6_6~~Q5_12	0.000	0.107	0.038	0.075	0.085	0.097	0.123	0.146
Q6_8~~Q5_12	0.000	-0.027	0.090	-0.114	-0.070	-0.022	0.019	0.056
Q6_11~~Q5_12	0.000	-0.064	0.075	-0.133	-0.103	-0.069	-0.028	0.009
Q7_2~~Q5_12	0.000	0.136	0.041	0.093	0.119	0.148	0.159	0.169
Q7_4~~Q5_12	0.000	0.117	0.081	0.035	0.081	0.131	0.161	0.188
Q7_5~~Q5_12	0.000	0.121	0.045	0.094	0.095	0.096	0.135	0.170
Q7_12~~Q5_12	0.000	-0.099	0.034	-0.129	-0.118	-0.105	-0.084	-0.065
Q7_13~~Q5_12	0.000	-0.034	0.047	-0.077	-0.059	-0.039	-0.012	0.013
Q7_14~~Q5_12	0.000	-0.122	0.048	-0.161	-0.148	-0.134	-0.102	-0.072
Q6_4~~Q6_1	0.000	0.033	0.019	0.020	0.022	0.024	0.040	0.054
Q6_5~~Q6_1	0.000	-0.004	0.034	-0.025	-0.024	-0.023	0.006	0.032
Q6_7~~Q6_1	0.000	-0.113	0.079	-0.184	-0.154	-0.121	-0.076	-0.035
Q6_8~~Q6_1	0.000	-0.066	0.014	-0.081	-0.071	-0.061	-0.058	-0.056
Q7_4~~Q6_1	0.000	0.022	0.039	-0.020	0.010	0.044	0.045	0.046
Q7_5~~Q6_1	0.000	0.022	0.044	-0.024	0.007	0.041	0.047	0.053
Q7_8~~Q6_1	0.000	-0.024	0.025	-0.051	-0.033	-0.013	-0.010	-0.007
Q6_5~~Q6_2	0.000	-0.104	0.037	-0.143	-0.117	-0.089	-0.083	-0.077
Q6_6~~Q6_2	0.000	-0.098	0.047	-0.137	-0.123	-0.108	-0.077	-0.050
Q6_8~~Q6_2	0.000	0.051	0.045	0.006	0.031	0.059	0.076	0.091
Q6_11~~Q6_2	0.000	-0.099	0.032	-0.129	-0.116	-0.102	-0.084	-0.067
Q7_2~~Q6_2	0.000	0.015	0.044	-0.028	-0.006	0.017	0.038	0.056
Q7_5~~Q6_2	0.000	0.049	0.024	0.025	0.037	0.050	0.061	0.071
Q7_7~~Q6_2	0.000	-0.051	0.022	-0.075	-0.059	-0.041	-0.039	-0.037
Q7_8~~Q6_2	0.000	-0.090	0.064	-0.149	-0.123	-0.095	-0.060	-0.028
Q7_12~~Q6_2	0.000	-0.076	0.056	-0.128	-0.105	-0.079	-0.049	-0.022
Q7_13~~Q6_2	0.000	-0.093	0.038	-0.122	-0.115	-0.107	-0.079	-0.053
Q7_14~~Q6_2	0.000	-0.114	0.022	-0.137	-0.123	-0.107	-0.102	-0.098
Q6_4~~Q6_3	0.000	-0.031	0.045	-0.079	-0.045	-0.007	-0.005	-0.002
Q6_5~~Q6_3	0.000	-0.034	0.028	-0.062	-0.046	-0.029	-0.019	-0.010
Q6_6~~Q6_3	0.000	0.061	0.019	0.041	0.054	0.068	0.072	0.075
Q6_7~~Q6_3	0.000	0.040	0.039	0.016	0.018	0.020	0.053	0.082
Q6_8~~Q6_3	0.000	-0.108	0.051	-0.153	-0.135	-0.115	-0.084	-0.056
Q7_2~~Q6_3	0.000	0.029	0.009	0.020	0.025	0.030	0.034	0.038
Q7_4~~Q6_3	0.000	0.024	0.032	-0.009	0.010	0.030	0.041	0.051
Q7_5~~Q6_3	0.000	-0.037	0.023	-0.052	-0.051	-0.049	-0.030	-0.013
Q7_8~~Q6_3	0.000	0.028	0.034	0.005	0.008	0.012	0.039	0.064
Q7_12~~Q6_3	0.000	-0.118	0.025	-0.132	-0.132	-0.132	-0.110	-0.091
Q7_13~~Q6_3	0.000	-0.082	0.030	-0.112	-0.096	-0.079	-0.067	-0.056
Q7_14~~Q6_3	0.000	-0.047	0.015	-0.062	-0.054	-0.045	-0.039	-0.033
Q6_6~~Q6_4	0.000	-0.117	0.051	-0.153	-0.146	-0.138	-0.098	-0.063
Q6_11~~Q6_4	0.000	-0.028	0.034	-0.057	-0.046	-0.034	-0.012	0.007
Q7_2~~Q6_4	0.000	-0.040	0.032	-0.074	-0.050	-0.023	-0.021	-0.019
Q7_4~~Q6_4	0.000	-0.060	0.095	-0.161	-0.088	-0.006	-0.005	-0.004
Q7_5~~Q6_4	0.000	-0.090	0.016	-0.106	-0.095	-0.081	-0.081	-0.080
Q7_7~~Q6_4	0.000	0.048	0.042	0.004	0.031	0.061	0.071	0.081
Q7_12~~Q6_4	0.000	0.067	0.037	0.028	0.054	0.083	0.088	0.093
Q7_13~~Q6_4	0.000	0.035	0.014	0.020	0.031	0.042	0.043	0.043
Q7_14~~Q6_4	0.000	0.031	0.052	-0.022	0.008	0.041	0.060	0.076
Q6_6~~Q6_5	0.000	0.046	0.045	-0.001	0.026	0.055	0.070	0.084
Q6_8~~Q6_5	0.000	-0.084	0.035	-0.115	-0.103	-0.090	-0.068	-0.048
Q6_11~~Q6_5	0.000	0.102	0.052	0.069	0.072	0.076	0.119	0.158
Q7_2~~Q6_5	0.000	-0.110	0.045	-0.155	-0.131	-0.104	-0.086	-0.070
Q7_4~~Q6_5	0.000	-0.046	0.066	-0.102	-0.082	-0.060	-0.017	0.021
Q7_5~~Q6_5	0.000	0.005	0.061	-0.058	-0.022	0.017	0.038	0.057
Q7_7~~Q6_5	0.000	0.030	0.026	0.002	0.022	0.044	0.045	0.047
Q7_8~~Q6_5	0.000	0.060	0.028	0.032	0.049	0.068	0.076	0.082
Q7_12~~Q6_5	0.000	0.083	0.071	0.007	0.060	0.118	0.124	0.129
Q7_13~~Q6_5	0.000	0.011	0.064	-0.041	-0.025	-0.006	0.038	0.077
Q7_14~~Q6_5	0.000	0.054	0.066	-0.017	0.034	0.090	0.092	0.094
Q6_7~~Q6_6	0.000	0.127	0.043	0.101	0.102	0.103	0.140	0.173
Q6_8~~Q6_6	0.000	-0.071	0.032	-0.105	-0.083	-0.057	-0.053	-0.049
Q7_4~~Q6_6	0.000	0.078	0.065	0.009	0.053	0.101	0.115	0.127
Q7_5~~Q6_6	0.000	0.167	0.017	0.153	0.158	0.163	0.174	0.184
Q7_8~~Q6_6	0.000	0.125	0.044	0.078	0.110	0.145	0.151	0.156
Q6_8~~Q6_7	0.000	0.096	0.049	0.056	0.069	0.085	0.117	0.147
Q6_11~~Q6_7	0.000	-0.015	0.018	-0.027	-0.025	-0.023	-0.009	0.005
Q7_2~~Q6_7	0.000	0.074	0.087	-0.016	0.035	0.092	0.121	0.148
Q7_4~~Q6_7	0.000	-0.043	0.028	-0.061	-0.059	-0.057	-0.034	-0.013
Q7_5~~Q6_7	0.000	0.142	0.039	0.112	0.120	0.128	0.157	0.183
Q7_7~~Q6_7	0.000	-0.033	0.039	-0.072	-0.051	-0.028	-0.012	0.001
Q7_8~~Q6_7	0.000	0.035	0.107	-0.066	-0.020	0.032	0.088	0.138
Q7_12~~Q6_7	0.000	-0.022	0.044	-0.051	-0.048	-0.043	-0.007	0.025
Q7_13~~Q6_7	0.000	-0.052	0.034	-0.088	-0.062	-0.034	-0.032	-0.031
Q7_14~~Q6_7	0.000	-0.032	0.041	-0.066	-0.054	-0.042	-0.014	0.011
Q6_11~~Q6_8	0.000	-0.045	0.031	-0.070	-0.062	-0.053	-0.032	-0.012
Q7_2~~Q6_8	0.000	0.093	0.088	0.021	0.045	0.071	0.130	0.184
Q7_7~~Q6_8	0.000	0.014	0.012	0.002	0.008	0.015	0.020	0.025
Q7_8~~Q6_8	0.000	0.068	0.023	0.044	0.058	0.074	0.080	0.086
Q7_12~~Q6_8	0.000	0.072	0.056	0.017	0.046	0.079	0.102	0.122
Q7_13~~Q6_8	0.000	-0.004	0.074	-0.081	-0.036	0.014	0.037	0.057
Q7_14~~Q6_8	0.000	-0.096	0.049	-0.148	-0.112	-0.073	-0.067	-0.062
Q7_4~~Q6_11	0.000	-0.030	0.026	-0.058	-0.038	-0.017	-0.015	-0.014
Q7_8~~Q6_11	0.000	-0.010	0.040	-0.052	-0.024	0.006	0.013	0.019
Q7_13~~Q6_11	0.000	0.144	0.012	0.134	0.137	0.140	0.149	0.157
Q7_4~~Q7_2	0.000	0.169	0.031	0.135	0.158	0.183	0.186	0.190
Q7_5~~Q7_2	0.000	0.071	0.027	0.055	0.055	0.055	0.079	0.100
Q7_8~~Q7_2	0.000	0.029	0.076	-0.037	-0.012	0.016	0.063	0.106
Q7_7~~Q7_4	0.000	-0.106	0.087	-0.193	-0.147	-0.096	-0.060	-0.029
Q7_8~~Q7_4	0.000	0.006	0.104	-0.102	-0.039	0.031	0.063	0.092
Q7_7~~Q7_5	0.000	-0.160	0.049	-0.196	-0.188	-0.178	-0.141	-0.109
Q7_13~~Q7_5	0.000	-0.138	0.067	-0.185	-0.176	-0.165	-0.113	-0.066
Q7_8~~Q7_7	0.000	0.067	0.079	0.004	0.023	0.043	0.099	0.149
Q7_12~~Q7_8	0.000	-0.131	0.060	-0.182	-0.164	-0.144	-0.104	-0.069
Q7_13~~Q7_8	0.000	-0.124	0.017	-0.142	-0.131	-0.118	-0.115	-0.111

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ROPE Probability Approximation based on UNstandardized Parameter Estimates

Parameter	Pr(|theta|>cutoff)	mean	sd	p0.025	p0.25	p0.5	p0.75	p0.975
EL=~Q5_1	1.000	0.493	0.068	0.445	0.454	0.464	0.517	0.565
EL=~Q5_3	1.000	0.361	0.022	0.337	0.353	0.370	0.373	0.376
EL=~Q5_4	1.000	-0.556	0.008	-0.564	-0.559	-0.552	-0.551	-0.550
EL=~Q5_5	1.000	-0.533	0.024	-0.558	-0.540	-0.519	-0.519	-0.518
EL=~Q6_1	1.000	0.475	0.022	0.452	0.468	0.485	0.488	0.491
EL=~Q6_6	1.000	0.476	0.046	0.445	0.449	0.454	0.491	0.525
EL=~Q7_7	1.000	-0.549	0.051	-0.604	-0.570	-0.532	-0.521	-0.510
EL=~Q7_12	1.000	-0.440	0.058	-0.496	-0.468	-0.438	-0.410	-0.386
EL=~Q7_13	1.000	-0.323	0.006	-0.329	-0.326	-0.323	-0.320	-0.318
EL=~Q7_14	1.000	-0.540	0.044	-0.585	-0.559	-0.531	-0.516	-0.504
SC=~Q6_11	1.000	0.429	0.049	0.377	0.412	0.451	0.457	0.463
IN=~Q4_17	1.000	0.354	0.021	0.338	0.342	0.346	0.362	0.377
IN=~Q5_1	1.000	0.451	0.032	0.422	0.434	0.447	0.466	0.483
IN=~Q5_3	1.000	0.342	0.011	0.333	0.336	0.338	0.346	0.353
IN=~Q5_4	1.000	-0.518	0.024	-0.534	-0.531	-0.528	-0.509	-0.492
IN=~Q5_5	1.000	-0.546	0.064	-0.614	-0.570	-0.522	-0.509	-0.498
IN=~Q7_7	1.000	-0.629	0.022	-0.644	-0.641	-0.637	-0.621	-0.606
IN=~Q7_12	1.000	-0.430	0.024	-0.454	-0.440	-0.425	-0.417	-0.409
IN=~Q7_13	1.000	-0.365	0.019	-0.384	-0.374	-0.363	-0.355	-0.349
IN=~Q7_14	1.000	-0.581	0.031	-0.605	-0.599	-0.592	-0.569	-0.549
Q4_10~~Q4_2	1.000	-0.251	0.039	-0.280	-0.272	-0.264	-0.235	-0.210
Q4_18~~Q4_2	1.000	0.264	0.029	0.237	0.249	0.262	0.278	0.292
Q5_1~~Q4_2	1.000	0.258	0.004	0.253	0.256	0.258	0.260	0.261
Q5_5~~Q4_2	1.000	-0.316	0.032	-0.350	-0.327	-0.300	-0.298	-0.296
Q6_6~~Q4_2	1.000	0.232	0.025	0.207	0.220	0.234	0.245	0.254
Q6_11~~Q4_2	1.000	-0.274	0.046	-0.322	-0.293	-0.260	-0.248	-0.238
Q7_14~~Q4_2	1.000	-0.251	0.036	-0.283	-0.270	-0.256	-0.235	-0.216
Q4_4~~Q4_3	1.000	0.287	0.032	0.253	0.276	0.301	0.305	0.309
Q4_17~~Q4_3	1.000	-0.243	0.037	-0.282	-0.256	-0.228	-0.222	-0.216
Q4_17~~Q4_4	1.000	-0.269	0.032	-0.299	-0.284	-0.268	-0.253	-0.239
Q5_4~~Q4_4	1.000	0.229	0.036	0.207	0.208	0.209	0.240	0.267
Q5_5~~Q4_4	1.000	0.249	0.036	0.218	0.229	0.241	0.265	0.286
Q6_1~~Q4_4	1.000	-0.301	0.058	-0.359	-0.329	-0.295	-0.271	-0.249
Q6_11~~Q4_4	1.000	0.311	0.020	0.290	0.305	0.321	0.323	0.325
Q7_7~~Q4_4	1.000	0.223	0.028	0.202	0.208	0.213	0.234	0.253
Q4_8~~Q4_5	1.000	0.375	0.019	0.357	0.366	0.377	0.385	0.392
Q7_12~~Q4_5	1.000	-0.301	0.034	-0.333	-0.318	-0.301	-0.284	-0.269
Q7_13~~Q4_5	1.000	-0.220	0.010	-0.231	-0.224	-0.216	-0.214	-0.212
Q5_4~~Q4_8	1.000	-0.246	0.022	-0.261	-0.259	-0.256	-0.238	-0.222
Q5_5~~Q4_8	1.000	-0.213	0.001	-0.214	-0.213	-0.213	-0.213	-0.213
Q6_6~~Q4_8	1.000	0.260	0.044	0.213	0.247	0.285	0.285	0.286
Q6_11~~Q4_8	1.000	-0.292	0.070	-0.356	-0.328	-0.298	-0.259	-0.223
Q7_7~~Q4_8	1.000	-0.248	0.012	-0.259	-0.255	-0.250	-0.242	-0.235
Q7_8~~Q4_8	1.000	0.238	0.029	0.207	0.229	0.254	0.254	0.255
Q4_18~~Q4_11	1.000	-0.251	0.018	-0.270	-0.257	-0.242	-0.240	-0.238
Q4_16~~Q4_15	1.000	0.297	0.034	0.265	0.279	0.295	0.313	0.329
Q5_5~~Q4_17	1.000	-0.266	0.055	-0.322	-0.289	-0.252	-0.236	-0.221
Q6_6~~Q4_17	1.000	0.311	0.031	0.293	0.294	0.295	0.321	0.344
Q7_2~~Q4_17	1.000	0.292	0.037	0.259	0.272	0.287	0.309	0.329
Q7_7~~Q4_17	1.000	-0.241	0.055	-0.300	-0.260	-0.216	-0.209	-0.203
Q7_12~~Q4_17	1.000	-0.269	0.017	-0.288	-0.276	-0.263	-0.260	-0.256
Q7_14~~Q4_17	1.000	-0.237	0.013	-0.248	-0.244	-0.240	-0.231	-0.224
Q5_3~~Q5_1	1.000	0.301	0.016	0.285	0.292	0.300	0.309	0.316
Q5_4~~Q5_1	1.000	-0.438	0.061	-0.497	-0.468	-0.435	-0.406	-0.381
Q5_5~~Q5_1	1.000	-0.429	0.023	-0.445	-0.442	-0.439	-0.421	-0.404
Q6_1~~Q5_1	1.000	0.343	0.033	0.308	0.333	0.361	0.362	0.363
Q6_6~~Q5_1	1.000	0.282	0.017	0.266	0.273	0.281	0.291	0.299
Q7_7~~Q5_1	1.000	-0.344	0.010	-0.354	-0.349	-0.344	-0.339	-0.335
Q7_12~~Q5_1	1.000	-0.216	0.014	-0.231	-0.222	-0.211	-0.208	-0.205
Q7_14~~Q5_1	1.000	-0.293	0.035	-0.327	-0.311	-0.294	-0.276	-0.260
Q5_4~~Q5_3	1.000	-0.337	0.017	-0.349	-0.347	-0.344	-0.330	-0.318
Q5_5~~Q5_3	1.000	-0.292	0.040	-0.325	-0.315	-0.303	-0.276	-0.251
Q6_1~~Q5_3	1.000	0.348	0.022	0.324	0.339	0.355	0.360	0.365
Q6_11~~Q5_3	1.000	-0.269	0.039	-0.311	-0.281	-0.248	-0.247	-0.246
Q7_7~~Q5_3	1.000	-0.294	0.017	-0.311	-0.300	-0.288	-0.284	-0.280
Q7_12~~Q5_3	1.000	-0.285	0.023	-0.309	-0.294	-0.278	-0.272	-0.267
Q7_13~~Q5_3	1.000	-0.245	0.037	-0.282	-0.261	-0.237	-0.224	-0.213
Q7_14~~Q5_3	1.000	-0.276	0.028	-0.305	-0.286	-0.265	-0.260	-0.256
Q5_5~~Q5_4	1.000	0.578	0.026	0.551	0.571	0.593	0.593	0.594
Q5_6~~Q5_4	1.000	-0.245	0.037	-0.284	-0.261	-0.237	-0.225	-0.214
Q5_12~~Q5_4	1.000	-0.286	0.025	-0.305	-0.301	-0.296	-0.277	-0.260
Q6_1~~Q5_4	1.000	-0.372	0.020	-0.393	-0.380	-0.366	-0.361	-0.357
Q6_6~~Q5_4	1.000	-0.375	0.037	-0.409	-0.394	-0.376	-0.356	-0.338
Q6_11~~Q5_4	1.000	0.281	0.049	0.235	0.256	0.279	0.305	0.328
Q7_2~~Q5_4	1.000	-0.348	0.017	-0.366	-0.355	-0.342	-0.338	-0.335
Q7_7~~Q5_4	1.000	0.435	0.055	0.385	0.407	0.431	0.461	0.489
Q7_12~~Q5_4	1.000	0.353	0.058	0.303	0.322	0.344	0.380	0.412
Q7_13~~Q5_4	1.000	0.298	0.009	0.289	0.295	0.302	0.304	0.305
Q7_14~~Q5_4	1.000	0.435	0.045	0.408	0.408	0.409	0.448	0.483
Q5_12~~Q5_5	1.000	-0.277	0.029	-0.307	-0.288	-0.267	-0.261	-0.254
Q6_1~~Q5_5	1.000	-0.350	0.054	-0.405	-0.374	-0.340	-0.321	-0.304
Q6_6~~Q5_5	1.000	-0.377	0.007	-0.385	-0.380	-0.374	-0.373	-0.372
Q6_11~~Q5_5	1.000	0.253	0.021	0.238	0.241	0.243	0.260	0.276
Q7_7~~Q5_5	1.000	0.377	0.022	0.353	0.370	0.389	0.390	0.391
Q7_12~~Q5_5	1.000	0.392	0.020	0.371	0.385	0.401	0.404	0.405
Q7_13~~Q5_5	1.000	0.336	0.013	0.326	0.328	0.331	0.341	0.349
Q7_14~~Q5_5	1.000	0.462	0.045	0.422	0.439	0.458	0.484	0.507
Q5_8~~Q5_6	1.000	0.308	0.018	0.289	0.303	0.318	0.318	0.318
Q7_8~~Q5_6	1.000	0.262	0.019	0.242	0.254	0.268	0.272	0.276
Q7_12~~Q5_6	1.000	-0.251	0.012	-0.264	-0.255	-0.245	-0.244	-0.243
Q7_13~~Q5_6	1.000	-0.239	0.010	-0.249	-0.243	-0.235	-0.233	-0.231
Q7_14~~Q5_6	1.000	-0.239	0.025	-0.257	-0.253	-0.249	-0.230	-0.212
Q7_12~~Q5_8	1.000	-0.247	0.045	-0.294	-0.265	-0.233	-0.222	-0.212
Q7_13~~Q5_8	1.000	-0.257	0.006	-0.262	-0.260	-0.257	-0.254	-0.251
Q6_2~~Q6_1	1.000	0.257	0.039	0.216	0.239	0.266	0.278	0.289
Q6_6~~Q6_1	1.000	0.324	0.049	0.271	0.308	0.349	0.352	0.354
Q6_11~~Q6_1	1.000	-0.430	0.031	-0.464	-0.439	-0.412	-0.412	-0.412
Q7_7~~Q6_1	1.000	-0.468	0.054	-0.508	-0.499	-0.489	-0.448	-0.412
Q7_12~~Q6_1	1.000	-0.295	0.010	-0.301	-0.301	-0.301	-0.292	-0.285
Q7_14~~Q6_1	1.000	-0.387	0.016	-0.404	-0.394	-0.384	-0.379	-0.374
Q6_4~~Q6_2	1.000	0.330	0.032	0.298	0.315	0.334	0.347	0.358
Q6_7~~Q6_2	1.000	-0.331	0.032	-0.357	-0.349	-0.341	-0.319	-0.298
Q6_5~~Q6_4	1.000	-0.282	0.057	-0.342	-0.302	-0.257	-0.250	-0.243
Q7_2~~Q6_6	1.000	0.338	0.043	0.296	0.317	0.341	0.360	0.377
Q7_7~~Q6_6	1.000	-0.406	0.033	-0.425	-0.425	-0.425	-0.396	-0.370
Q7_12~~Q6_6	1.000	-0.380	0.057	-0.437	-0.406	-0.372	-0.350	-0.330
Q7_13~~Q6_6	1.000	-0.276	0.023	-0.296	-0.288	-0.280	-0.266	-0.253
Q7_14~~Q6_6	1.000	-0.341	0.027	-0.369	-0.353	-0.336	-0.326	-0.317
Q7_7~~Q6_11	1.000	0.363	0.032	0.336	0.345	0.355	0.377	0.396
Q7_12~~Q6_11	1.000	0.306	0.031	0.279	0.290	0.302	0.321	0.337
Q7_14~~Q6_11	1.000	0.356	0.040	0.328	0.333	0.338	0.370	0.399
Q7_7~~Q7_2	1.000	-0.286	0.042	-0.330	-0.302	-0.270	-0.262	-0.255
Q7_12~~Q7_2	1.000	-0.359	0.056	-0.413	-0.388	-0.360	-0.331	-0.306
Q7_13~~Q7_2	1.000	-0.310	0.066	-0.380	-0.333	-0.280	-0.273	-0.266
Q7_14~~Q7_2	1.000	-0.316	0.063	-0.358	-0.352	-0.346	-0.294	-0.248
Q7_12~~Q7_4	1.000	-0.248	0.023	-0.267	-0.260	-0.253	-0.238	-0.224
Q7_13~~Q7_4	1.000	-0.283	0.022	-0.305	-0.294	-0.281	-0.272	-0.263
Q7_14~~Q7_4	1.000	-0.220	0.016	-0.232	-0.229	-0.226	-0.214	-0.203
Q7_12~~Q7_5	1.000	-0.219	0.007	-0.226	-0.222	-0.218	-0.215	-0.213
Q7_12~~Q7_7	1.000	0.389	0.011	0.378	0.385	0.393	0.395	0.397
Q7_13~~Q7_7	1.000	0.286	0.008	0.281	0.281	0.282	0.289	0.295
Q7_14~~Q7_7	1.000	0.373	0.021	0.356	0.361	0.367	0.382	0.395
Q7_13~~Q7_12	1.000	0.483	0.018	0.464	0.476	0.489	0.494	0.498
Q7_14~~Q7_12	1.000	0.486	0.022	0.463	0.476	0.491	0.498	0.504
Q7_14~~Q7_13	1.000	0.376	0.029	0.355	0.359	0.363	0.386	0.406
EL=~Q5_12	0.667	0.329	0.035	0.300	0.309	0.319	0.343	0.365
IN=~Q7_2	0.667	0.303	0.025	0.277	0.293	0.310	0.316	0.322
EN=~Q5_1	0.667	0.316	0.062	0.258	0.285	0.315	0.346	0.375
Q4_3~~Q4_1	0.667	0.258	0.078	0.188	0.217	0.249	0.295	0.336
Q4_5~~Q4_1	0.667	-0.194	0.056	-0.230	-0.226	-0.221	-0.176	-0.135
Q4_8~~Q4_1	0.667	-0.221	0.029	-0.251	-0.234	-0.215	-0.205	-0.197
Q4_8~~Q4_2	0.667	0.184	0.050	0.131	0.166	0.205	0.212	0.219
Q5_3~~Q4_2	0.667	0.226	0.040	0.190	0.205	0.222	0.244	0.265
Q5_4~~Q4_2	0.667	-0.214	0.049	-0.262	-0.237	-0.210	-0.189	-0.170
Q6_1~~Q4_2	0.667	0.228	0.051	0.174	0.213	0.256	0.258	0.259
Q7_7~~Q4_2	0.667	-0.256	0.055	-0.304	-0.285	-0.264	-0.231	-0.201
Q7_12~~Q4_2	0.667	-0.221	0.060	-0.271	-0.253	-0.233	-0.194	-0.159
Q4_5~~Q4_3	0.667	-0.253	0.091	-0.330	-0.302	-0.271	-0.213	-0.160
Q4_8~~Q4_3	0.667	-0.255	0.075	-0.327	-0.292	-0.252	-0.217	-0.185
Q4_9~~Q4_3	0.667	-0.236	0.086	-0.301	-0.285	-0.266	-0.203	-0.145
Q7_12~~Q4_3	0.667	0.187	0.029	0.156	0.177	0.201	0.204	0.206
Q4_10~~Q4_4	0.667	0.228	0.043	0.188	0.207	0.229	0.250	0.269
Q4_16~~Q4_4	0.667	-0.216	0.078	-0.290	-0.255	-0.216	-0.177	-0.142
Q5_1~~Q4_4	0.667	-0.223	0.028	-0.240	-0.239	-0.237	-0.214	-0.192
Q5_3~~Q4_4	0.667	-0.211	0.017	-0.226	-0.220	-0.215	-0.204	-0.194
Q5_3~~Q4_5	0.667	0.222	0.023	0.197	0.216	0.236	0.236	0.236
Q5_5~~Q4_5	0.667	-0.214	0.070	-0.264	-0.253	-0.242	-0.188	-0.139
Q6_2~~Q4_5	0.667	0.210	0.019	0.190	0.203	0.217	0.221	0.225
Q4_9~~Q4_8	0.667	0.172	0.122	0.042	0.131	0.231	0.242	0.253
Q5_8~~Q4_8	0.667	0.232	0.057	0.173	0.207	0.246	0.264	0.280
Q7_12~~Q4_8	0.667	-0.263	0.065	-0.303	-0.301	-0.299	-0.243	-0.193
Q7_14~~Q4_8	0.667	-0.231	0.032	-0.261	-0.248	-0.234	-0.216	-0.200
Q7_7~~Q4_10	0.667	0.192	0.063	0.125	0.170	0.219	0.228	0.236
Q6_4~~Q4_11	0.667	-0.202	0.018	-0.219	-0.211	-0.202	-0.193	-0.184
Q7_7~~Q4_11	0.667	0.228	0.029	0.198	0.215	0.233	0.243	0.252
Q5_12~~Q4_15	0.667	0.224	0.046	0.178	0.202	0.229	0.248	0.265
Q4_17~~Q4_16	0.667	0.261	0.054	0.203	0.245	0.291	0.292	0.294
Q5_12~~Q4_16	0.667	0.233	0.087	0.143	0.197	0.257	0.281	0.303
Q6_1~~Q4_17	0.667	0.218	0.042	0.175	0.201	0.229	0.241	0.252
Q6_11~~Q4_17	0.667	-0.214	0.040	-0.256	-0.229	-0.201	-0.192	-0.184
Q7_13~~Q4_17	0.667	-0.210	0.056	-0.267	-0.236	-0.200	-0.180	-0.162
Q6_11~~Q4_18	0.667	-0.205	0.038	-0.242	-0.224	-0.205	-0.187	-0.169
Q7_7~~Q4_18	0.667	-0.255	0.081	-0.340	-0.286	-0.226	-0.209	-0.193
Q7_14~~Q4_18	0.667	-0.192	0.054	-0.237	-0.222	-0.206	-0.169	-0.137
Q5_2~~Q5_1	0.667	0.195	0.050	0.144	0.172	0.204	0.221	0.237
Q6_11~~Q5_1	0.667	-0.220	0.061	-0.271	-0.253	-0.232	-0.193	-0.157
Q7_2~~Q5_1	0.667	0.220	0.040	0.179	0.204	0.231	0.242	0.253
Q7_5~~Q5_1	0.667	0.173	0.050	0.119	0.158	0.201	0.202	0.202
Q7_13~~Q5_1	0.667	-0.212	0.015	-0.225	-0.220	-0.215	-0.205	-0.197
Q5_8~~Q5_2	0.667	-0.221	0.073	-0.277	-0.262	-0.245	-0.192	-0.144
Q7_2~~Q5_3	0.667	0.238	0.063	0.192	0.202	0.214	0.262	0.305
Q5_6~~Q5_5	0.667	-0.208	0.046	-0.237	-0.235	-0.232	-0.194	-0.159
Q7_7~~Q5_6	0.667	-0.179	0.061	-0.221	-0.214	-0.205	-0.158	-0.114
Q7_8~~Q5_8	0.667	0.216	0.020	0.198	0.206	0.215	0.226	0.235
Q6_7~~Q5_12	0.667	0.255	0.051	0.200	0.238	0.281	0.284	0.288
Q7_2~~Q6_1	0.667	0.222	0.028	0.194	0.209	0.226	0.237	0.247
Q6_3~~Q6_2	0.667	0.198	0.038	0.157	0.185	0.217	0.220	0.223
Q6_11~~Q6_3	0.667	-0.207	0.027	-0.230	-0.222	-0.213	-0.195	-0.180
Q6_7~~Q6_4	0.667	-0.284	0.100	-0.366	-0.339	-0.308	-0.241	-0.181
Q6_11~~Q6_6	0.667	-0.204	0.035	-0.237	-0.222	-0.204	-0.186	-0.170
Q7_5~~Q6_8	0.667	0.206	0.138	0.061	0.153	0.256	0.285	0.310
Q7_5~~Q6_11	0.667	-0.192	0.025	-0.207	-0.206	-0.206	-0.184	-0.165
Q7_14~~Q7_5	0.667	-0.206	0.057	-0.259	-0.235	-0.208	-0.178	-0.151
IN=~Q4_2	0.333	0.221	0.073	0.174	0.180	0.186	0.245	0.299
IN=~Q5_12	0.333	0.229	0.083	0.147	0.190	0.239	0.273	0.304
EN=~Q6_11	0.333	0.268	0.074	0.220	0.225	0.231	0.292	0.347
Q4_9~~Q4_1	0.333	-0.184	0.080	-0.257	-0.225	-0.189	-0.145	-0.106
Q4_9~~Q4_2	0.333	-0.184	0.033	-0.219	-0.195	-0.168	-0.164	-0.161
Q4_11~~Q4_2	0.333	-0.190	0.056	-0.242	-0.220	-0.195	-0.163	-0.135
Q4_17~~Q4_2	0.333	0.105	0.115	0.007	0.043	0.082	0.156	0.222
Q5_6~~Q4_2	0.333	0.222	0.105	0.140	0.164	0.189	0.265	0.332
Q6_2~~Q4_2	0.333	0.162	0.077	0.083	0.130	0.181	0.205	0.225
Q7_5~~Q4_2	0.333	0.155	0.060	0.109	0.121	0.135	0.179	0.218
Q6_7~~Q4_3	0.333	-0.167	0.058	-0.223	-0.196	-0.166	-0.137	-0.112
Q6_11~~Q4_3	0.333	0.141	0.072	0.069	0.108	0.151	0.180	0.205
Q7_5~~Q4_3	0.333	-0.189	0.053	-0.245	-0.206	-0.162	-0.158	-0.155
Q4_5~~Q4_4	0.333	-0.141	0.142	-0.256	-0.219	-0.179	-0.081	0.007
Q4_8~~Q4_4	0.333	-0.197	0.018	-0.217	-0.204	-0.191	-0.187	-0.183
Q4_15~~Q4_4	0.333	-0.179	0.040	-0.220	-0.197	-0.171	-0.157	-0.145
Q6_6~~Q4_4	0.333	-0.170	0.027	-0.198	-0.179	-0.158	-0.154	-0.151
Q7_13~~Q4_4	0.333	0.145	0.050	0.114	0.116	0.118	0.160	0.198
Q4_17~~Q4_5	0.333	0.184	0.026	0.168	0.169	0.171	0.192	0.211
Q5_8~~Q4_5	0.333	0.187	0.106	0.120	0.126	0.133	0.221	0.300
Q4_11~~Q4_8	0.333	-0.189	0.019	-0.206	-0.200	-0.192	-0.181	-0.170
Q4_17~~Q4_8	0.333	0.166	0.040	0.136	0.143	0.152	0.181	0.207
Q6_1~~Q4_8	0.333	0.176	0.056	0.142	0.144	0.145	0.193	0.236
Q7_13~~Q4_8	0.333	-0.196	0.029	-0.227	-0.206	-0.183	-0.180	-0.177
Q6_8~~Q4_9	0.333	-0.159	0.052	-0.212	-0.183	-0.151	-0.131	-0.114
Q7_2~~Q4_9	0.333	0.173	0.033	0.139	0.159	0.182	0.191	0.200
Q4_17~~Q4_10	0.333	-0.194	0.031	-0.222	-0.210	-0.196	-0.179	-0.164
Q4_18~~Q4_10	0.333	-0.188	0.016	-0.204	-0.195	-0.184	-0.180	-0.175
Q5_1~~Q4_10	0.333	-0.147	0.063	-0.214	-0.167	-0.114	-0.110	-0.107
Q5_3~~Q4_10	0.333	-0.186	0.031	-0.215	-0.201	-0.185	-0.170	-0.157
Q5_4~~Q4_10	0.333	0.188	0.061	0.126	0.160	0.199	0.221	0.241
Q5_5~~Q4_10	0.333	0.171	0.044	0.131	0.148	0.168	0.192	0.214
Q6_1~~Q4_10	0.333	-0.185	0.042	-0.228	-0.203	-0.176	-0.162	-0.151
Q6_11~~Q4_10	0.333	0.205	0.024	0.189	0.191	0.193	0.213	0.231
Q7_14~~Q4_10	0.333	0.208	0.052	0.167	0.179	0.193	0.230	0.263
Q4_15~~Q4_11	0.333	-0.159	0.059	-0.222	-0.182	-0.137	-0.126	-0.116
Q6_7~~Q4_11	0.333	0.150	0.067	0.080	0.125	0.175	0.188	0.201
Q6_8~~Q4_11	0.333	0.132	0.101	0.030	0.085	0.147	0.186	0.221
Q6_3~~Q4_16	0.333	-0.120	0.087	-0.209	-0.156	-0.098	-0.072	-0.049
Q4_18~~Q4_17	0.333	0.203	0.043	0.176	0.178	0.180	0.216	0.249
Q5_4~~Q4_17	0.333	-0.180	0.055	-0.223	-0.211	-0.197	-0.158	-0.123
Q5_4~~Q4_18	0.333	-0.179	0.031	-0.201	-0.197	-0.192	-0.168	-0.146
Q5_6~~Q4_18	0.333	0.159	0.052	0.109	0.134	0.161	0.186	0.208
Q7_12~~Q4_18	0.333	-0.153	0.063	-0.203	-0.188	-0.172	-0.127	-0.087
Q7_4~~Q5_1	0.333	0.122	0.088	0.040	0.077	0.117	0.165	0.207
Q5_3~~Q5_2	0.333	0.186	0.031	0.162	0.169	0.177	0.199	0.219
Q5_6~~Q5_2	0.333	-0.132	0.065	-0.202	-0.153	-0.098	-0.095	-0.092
Q7_5~~Q5_2	0.333	-0.101	0.114	-0.218	-0.151	-0.077	-0.040	-0.006
Q6_6~~Q5_3	0.333	0.182	0.032	0.149	0.173	0.199	0.201	0.202
Q7_5~~Q5_4	0.333	-0.171	0.034	-0.207	-0.186	-0.163	-0.152	-0.143
Q7_8~~Q5_4	0.333	-0.178	0.075	-0.255	-0.212	-0.164	-0.138	-0.114
Q5_8~~Q5_5	0.333	-0.149	0.057	-0.209	-0.171	-0.128	-0.117	-0.107
Q7_2~~Q5_5	0.333	-0.194	0.049	-0.246	-0.209	-0.168	-0.166	-0.164
Q7_5~~Q5_5	0.333	-0.156	0.046	-0.205	-0.171	-0.132	-0.129	-0.126
Q6_6~~Q5_6	0.333	0.184	0.070	0.116	0.150	0.188	0.220	0.248
Q7_4~~Q5_6	0.333	0.153	0.077	0.091	0.111	0.133	0.186	0.233
Q6_3~~Q5_8	0.333	-0.080	0.117	-0.205	-0.117	-0.020	-0.013	-0.007
Q6_6~~Q5_8	0.333	0.152	0.048	0.121	0.125	0.129	0.169	0.204
Q6_8~~Q5_8	0.333	-0.071	0.117	-0.195	-0.115	-0.026	-0.005	0.014
Q7_2~~Q5_8	0.333	0.072	0.117	-0.001	0.005	0.011	0.109	0.198
Q7_7~~Q5_12	0.333	-0.169	0.048	-0.200	-0.196	-0.192	-0.152	-0.117
Q7_8~~Q5_12	0.333	0.146	0.054	0.095	0.119	0.145	0.173	0.198
Q6_3~~Q6_1	0.333	0.153	0.044	0.123	0.128	0.133	0.168	0.200
Q7_13~~Q6_1	0.333	-0.183	0.038	-0.224	-0.198	-0.169	-0.162	-0.155
Q7_4~~Q6_2	0.333	0.180	0.064	0.127	0.145	0.166	0.208	0.246
Q7_7~~Q6_3	0.333	-0.167	0.057	-0.204	-0.200	-0.196	-0.148	-0.106
Q6_8~~Q6_4	0.333	0.158	0.073	0.087	0.121	0.159	0.195	0.227
Q7_8~~Q6_4	0.333	-0.185	0.016	-0.202	-0.190	-0.176	-0.176	-0.176
Q6_7~~Q6_5	0.333	0.182	0.026	0.158	0.170	0.183	0.195	0.207
Q7_4~~Q6_8	0.333	0.138	0.066	0.081	0.103	0.127	0.168	0.205
Q7_2~~Q6_11	0.333	-0.169	0.081	-0.233	-0.214	-0.193	-0.136	-0.084
Q7_5~~Q7_4	0.333	0.187	0.027	0.169	0.171	0.174	0.196	0.216
Q7_8~~Q7_5	0.333	0.132	0.073	0.087	0.090	0.093	0.154	0.210
Q7_14~~Q7_8	0.333	-0.162	0.068	-0.211	-0.200	-0.189	-0.137	-0.090
EL=~Q5_2	0.000	0.024	0.037	-0.015	0.007	0.032	0.044	0.055
EL=~Q5_6	0.000	0.120	0.075	0.040	0.096	0.159	0.164	0.168
EL=~Q5_8	0.000	0.087	0.053	0.031	0.069	0.110	0.117	0.124
EL=~Q6_2	0.000	0.070	0.074	0.012	0.028	0.047	0.099	0.147
EL=~Q6_3	0.000	-0.002	0.042	-0.032	-0.026	-0.020	0.013	0.043
EL=~Q6_4	0.000	-0.074	0.013	-0.087	-0.079	-0.070	-0.067	-0.064
EL=~Q6_5	0.000	0.053	0.058	0.006	0.021	0.037	0.078	0.114
EL=~Q6_7	0.000	0.019	0.010	0.010	0.014	0.020	0.024	0.028
EL=~Q6_8	0.000	0.004	0.035	-0.019	-0.016	-0.014	0.015	0.042
EL=~Q6_11	0.000	-0.187	0.058	-0.247	-0.212	-0.173	-0.155	-0.140
EL=~Q7_2	0.000	0.239	0.038	0.209	0.218	0.228	0.255	0.279
EL=~Q7_4	0.000	0.112	0.062	0.045	0.093	0.145	0.148	0.150
EL=~Q7_5	0.000	0.107	0.026	0.091	0.092	0.092	0.114	0.135
EL=~Q7_8	0.000	0.087	0.047	0.038	0.069	0.103	0.114	0.123
SC=~Q4_1	0.000	-0.068	0.059	-0.112	-0.101	-0.090	-0.046	-0.006
SC=~Q4_2	0.000	-0.074	0.092	-0.147	-0.125	-0.101	-0.036	0.022
SC=~Q4_3	0.000	-0.111	0.032	-0.145	-0.122	-0.096	-0.092	-0.088
SC=~Q4_4	0.000	0.029	0.082	-0.036	-0.016	0.006	0.063	0.114
SC=~Q4_5	0.000	0.013	0.045	-0.027	-0.010	0.008	0.035	0.058
SC=~Q4_8	0.000	0.059	0.036	0.038	0.039	0.039	0.070	0.098
SC=~Q4_9	0.000	0.130	0.066	0.062	0.101	0.144	0.166	0.186
SC=~Q4_10	0.000	0.058	0.069	0.000	0.021	0.044	0.089	0.129
SC=~Q4_11	0.000	0.090	0.066	0.046	0.052	0.058	0.112	0.160
SC=~Q4_15	0.000	0.024	0.031	-0.007	0.009	0.027	0.040	0.052
SC=~Q4_16	0.000	0.165	0.036	0.127	0.154	0.184	0.186	0.188
SC=~Q4_17	0.000	0.047	0.073	-0.008	0.006	0.022	0.075	0.124
SC=~Q4_18	0.000	-0.083	0.051	-0.135	-0.105	-0.072	-0.055	-0.039
SC=~Q6_1	0.000	-0.096	0.029	-0.116	-0.113	-0.109	-0.086	-0.066
SC=~Q6_2	0.000	-0.042	0.065	-0.099	-0.077	-0.052	-0.012	0.024
SC=~Q6_3	0.000	-0.234	0.042	-0.276	-0.254	-0.229	-0.212	-0.197
SC=~Q6_4	0.000	0.026	0.041	0.001	0.002	0.004	0.039	0.070
SC=~Q6_5	0.000	0.093	0.033	0.057	0.082	0.111	0.112	0.113
SC=~Q6_6	0.000	0.019	0.030	-0.010	0.005	0.022	0.035	0.047
SC=~Q6_7	0.000	0.026	0.041	-0.016	0.008	0.034	0.048	0.060
SC=~Q6_8	0.000	-0.046	0.047	-0.081	-0.072	-0.063	-0.028	0.003
SC=~Q7_2	0.000	0.050	0.023	0.025	0.043	0.062	0.063	0.064
SC=~Q7_4	0.000	-0.060	0.012	-0.073	-0.065	-0.057	-0.054	-0.051
SC=~Q7_5	0.000	0.083	0.122	-0.027	0.020	0.072	0.141	0.203
SC=~Q7_7	0.000	-0.006	0.057	-0.042	-0.038	-0.034	0.013	0.055
SC=~Q7_8	0.000	-0.020	0.051	-0.058	-0.048	-0.038	0.000	0.034
SC=~Q7_12	0.000	-0.031	0.073	-0.108	-0.052	0.010	0.011	0.012
SC=~Q7_13	0.000	-0.068	0.081	-0.118	-0.115	-0.111	-0.043	0.019
SC=~Q7_14	0.000	0.173	0.049	0.121	0.158	0.199	0.201	0.202
IN=~Q4_1	0.000	-0.014	0.056	-0.069	-0.041	-0.009	0.015	0.037
IN=~Q4_3	0.000	-0.117	0.022	-0.140	-0.127	-0.113	-0.105	-0.098
IN=~Q4_4	0.000	-0.235	0.020	-0.255	-0.245	-0.233	-0.224	-0.217
IN=~Q4_5	0.000	0.108	0.026	0.085	0.093	0.103	0.119	0.134
IN=~Q4_8	0.000	0.218	0.035	0.182	0.204	0.228	0.237	0.246
IN=~Q4_9	0.000	0.011	0.053	-0.031	-0.018	-0.004	0.033	0.066
IN=~Q4_10	0.000	-0.137	0.010	-0.148	-0.141	-0.133	-0.132	-0.130
IN=~Q4_11	0.000	-0.094	0.028	-0.110	-0.110	-0.109	-0.085	-0.063
IN=~Q4_15	0.000	0.092	0.014	0.077	0.087	0.098	0.100	0.103
IN=~Q4_16	0.000	0.104	0.006	0.098	0.101	0.105	0.107	0.109
IN=~Q4_18	0.000	0.136	0.009	0.128	0.131	0.133	0.140	0.145
IN=~Q5_2	0.000	0.066	0.058	0.006	0.042	0.081	0.098	0.114
IN=~Q5_6	0.000	0.146	0.042	0.119	0.122	0.125	0.160	0.191
IN=~Q5_8	0.000	0.106	0.048	0.072	0.079	0.086	0.123	0.157
IN=~Q7_4	0.000	0.129	0.033	0.108	0.110	0.113	0.140	0.165
IN=~Q7_5	0.000	0.154	0.029	0.123	0.144	0.166	0.171	0.175
IN=~Q7_8	0.000	0.069	0.032	0.035	0.057	0.081	0.087	0.094
EN=~Q4_1	0.000	-0.015	0.029	-0.045	-0.027	-0.007	0.001	0.008
EN=~Q4_2	0.000	-0.034	0.032	-0.053	-0.053	-0.052	-0.025	0.000
EN=~Q4_3	0.000	-0.118	0.100	-0.187	-0.175	-0.162	-0.083	-0.011
EN=~Q4_4	0.000	-0.042	0.018	-0.055	-0.053	-0.049	-0.036	-0.024
EN=~Q4_5	0.000	0.032	0.057	-0.029	0.012	0.057	0.065	0.072
EN=~Q4_8	0.000	0.099	0.127	-0.028	0.041	0.118	0.167	0.211
EN=~Q4_9	0.000	0.093	0.089	-0.002	0.064	0.138	0.145	0.151
EN=~Q4_10	0.000	0.038	0.103	-0.046	-0.018	0.014	0.082	0.144
EN=~Q4_11	0.000	0.166	0.041	0.123	0.150	0.179	0.189	0.197
EN=~Q4_15	0.000	0.002	0.043	-0.040	-0.019	0.004	0.024	0.041
EN=~Q4_16	0.000	0.076	0.065	0.017	0.041	0.068	0.106	0.140
EN=~Q4_17	0.000	0.105	0.075	0.038	0.066	0.096	0.140	0.179
EN=~Q4_18	0.000	-0.079	0.037	-0.118	-0.094	-0.066	-0.059	-0.052
EN=~Q5_2	0.000	0.063	0.050	0.013	0.041	0.072	0.090	0.106
EN=~Q5_3	0.000	0.094	0.062	0.033	0.063	0.096	0.125	0.152
EN=~Q5_4	0.000	-0.268	0.044	-0.299	-0.293	-0.287	-0.252	-0.221
EN=~Q5_5	0.000	-0.185	0.049	-0.237	-0.204	-0.167	-0.158	-0.149
EN=~Q5_6	0.000	0.075	0.036	0.050	0.054	0.059	0.088	0.113
EN=~Q5_8	0.000	0.038	0.075	-0.042	0.016	0.080	0.082	0.083
EN=~Q5_12	0.000	0.260	0.047	0.210	0.246	0.285	0.287	0.289
EN=~Q6_1	0.000	-0.017	0.102	-0.105	-0.073	-0.037	0.028	0.086
EN=~Q6_2	0.000	-0.107	0.081	-0.193	-0.140	-0.081	-0.062	-0.044
EN=~Q6_3	0.000	-0.126	0.029	-0.150	-0.142	-0.134	-0.114	-0.097
EN=~Q6_4	0.000	-0.095	0.052	-0.145	-0.122	-0.096	-0.069	-0.046
EN=~Q6_5	0.000	0.144	0.102	0.039	0.099	0.165	0.199	0.230
EN=~Q6_6	0.000	0.176	0.016	0.159	0.169	0.180	0.185	0.190
EN=~Q6_7	0.000	0.048	0.012	0.036	0.043	0.050	0.055	0.060
EN=~Q6_8	0.000	-0.003	0.118	-0.114	-0.063	-0.006	0.055	0.110
Q4_2~~Q4_1	0.000	0.135	0.052	0.095	0.106	0.118	0.156	0.190
Q4_4~~Q4_1	0.000	0.114	0.042	0.077	0.091	0.106	0.133	0.157
Q4_10~~Q4_1	0.000	0.054	0.019	0.036	0.044	0.052	0.063	0.073
Q4_11~~Q4_1	0.000	0.024	0.074	-0.048	-0.012	0.028	0.062	0.093
Q4_15~~Q4_1	0.000	-0.107	0.064	-0.164	-0.140	-0.114	-0.077	-0.044
Q4_16~~Q4_1	0.000	0.097	0.083	0.014	0.058	0.107	0.141	0.171
Q4_17~~Q4_1	0.000	-0.065	0.039	-0.107	-0.076	-0.043	-0.042	-0.042
Q4_18~~Q4_1	0.000	0.037	0.080	-0.031	-0.007	0.019	0.072	0.119
Q5_1~~Q4_1	0.000	-0.027	0.024	-0.053	-0.034	-0.013	-0.013	-0.013
Q5_2~~Q4_1	0.000	0.048	0.080	0.001	0.002	0.003	0.072	0.133
Q5_3~~Q4_1	0.000	-0.022	0.063	-0.082	-0.055	-0.024	0.009	0.039
Q5_4~~Q4_1	0.000	0.109	0.039	0.068	0.095	0.126	0.132	0.137
Q5_5~~Q4_1	0.000	0.068	0.094	-0.025	0.024	0.078	0.118	0.153
Q5_6~~Q4_1	0.000	-0.009	0.100	-0.078	-0.066	-0.054	0.026	0.098
Q5_8~~Q4_1	0.000	-0.019	0.048	-0.070	-0.038	-0.003	0.008	0.018
Q5_12~~Q4_1	0.000	-0.093	0.087	-0.154	-0.143	-0.131	-0.062	0.000
Q6_1~~Q4_1	0.000	0.055	0.023	0.030	0.046	0.064	0.068	0.072
Q6_2~~Q4_1	0.000	0.003	0.033	-0.033	-0.009	0.018	0.022	0.025
Q6_3~~Q4_1	0.000	-0.030	0.060	-0.083	-0.062	-0.038	-0.002	0.030
Q6_4~~Q4_1	0.000	-0.004	0.064	-0.072	-0.026	0.024	0.033	0.041
Q6_5~~Q4_1	0.000	-0.021	0.053	-0.074	-0.045	-0.014	0.007	0.026
Q6_6~~Q4_1	0.000	-0.001	0.057	-0.035	-0.034	-0.033	0.016	0.060
Q6_7~~Q4_1	0.000	-0.114	0.072	-0.186	-0.148	-0.106	-0.076	-0.050
Q6_8~~Q4_1	0.000	-0.050	0.067	-0.094	-0.088	-0.081	-0.027	0.021
Q6_11~~Q4_1	0.000	0.072	0.042	0.047	0.048	0.050	0.085	0.117
Q7_2~~Q4_1	0.000	-0.081	0.116	-0.181	-0.143	-0.101	-0.029	0.036
Q7_4~~Q4_1	0.000	0.119	0.010	0.108	0.115	0.123	0.125	0.126
Q7_5~~Q4_1	0.000	-0.091	0.032	-0.123	-0.106	-0.086	-0.074	-0.064
Q7_7~~Q4_1	0.000	0.034	0.041	-0.010	0.019	0.052	0.057	0.062
Q7_8~~Q4_1	0.000	0.016	0.079	-0.068	-0.007	0.060	0.062	0.064
Q7_12~~Q4_1	0.000	-0.045	0.072	-0.122	-0.069	-0.010	-0.004	0.001
Q7_13~~Q4_1	0.000	0.112	0.062	0.046	0.093	0.145	0.148	0.151
Q7_14~~Q4_1	0.000	0.006	0.026	-0.022	-0.003	0.019	0.021	0.023
Q4_3~~Q4_2	0.000	0.112	0.083	0.025	0.078	0.137	0.158	0.178
Q4_4~~Q4_2	0.000	-0.147	0.025	-0.172	-0.160	-0.147	-0.135	-0.124
Q4_5~~Q4_2	0.000	0.158	0.019	0.139	0.149	0.160	0.168	0.175
Q4_15~~Q4_2	0.000	0.078	0.053	0.030	0.050	0.073	0.103	0.130
Q4_16~~Q4_2	0.000	-0.117	0.026	-0.145	-0.125	-0.103	-0.103	-0.102
Q5_2~~Q4_2	0.000	-0.008	0.022	-0.030	-0.018	-0.004	0.004	0.010
Q5_8~~Q4_2	0.000	0.057	0.031	0.024	0.048	0.073	0.075	0.076
Q5_12~~Q4_2	0.000	-0.034	0.066	-0.086	-0.071	-0.054	-0.007	0.035
Q6_3~~Q4_2	0.000	0.054	0.030	0.022	0.043	0.066	0.071	0.075
Q6_4~~Q4_2	0.000	-0.002	0.017	-0.016	-0.011	-0.005	0.006	0.015
Q6_5~~Q4_2	0.000	-0.003	0.021	-0.025	-0.011	0.005	0.009	0.014
Q6_7~~Q4_2	0.000	-0.017	0.059	-0.080	-0.035	0.015	0.017	0.019
Q6_8~~Q4_2	0.000	0.029	0.033	-0.004	0.013	0.032	0.046	0.058
Q7_2~~Q4_2	0.000	0.095	0.045	0.047	0.077	0.110	0.120	0.129
Q7_4~~Q4_2	0.000	0.068	0.063	0.012	0.036	0.062	0.098	0.131
Q7_8~~Q4_2	0.000	0.018	0.080	-0.057	-0.022	0.017	0.058	0.094
Q7_13~~Q4_2	0.000	-0.133	0.040	-0.162	-0.156	-0.150	-0.119	-0.091
Q4_10~~Q4_3	0.000	0.027	0.040	-0.005	0.006	0.017	0.044	0.069
Q4_11~~Q4_3	0.000	0.006	0.087	-0.084	-0.029	0.032	0.055	0.075
Q4_15~~Q4_3	0.000	-0.091	0.088	-0.185	-0.118	-0.043	-0.041	-0.038
Q4_16~~Q4_3	0.000	0.047	0.017	0.031	0.038	0.046	0.055	0.063
Q4_18~~Q4_3	0.000	-0.085	0.085	-0.176	-0.111	-0.039	-0.036	-0.033
Q5_1~~Q4_3	0.000	-0.075	0.084	-0.129	-0.123	-0.118	-0.048	0.015
Q5_2~~Q4_3	0.000	-0.100	0.060	-0.164	-0.122	-0.075	-0.065	-0.057
Q5_3~~Q4_3	0.000	0.105	0.084	0.028	0.061	0.098	0.145	0.188
Q5_4~~Q4_3	0.000	0.063	0.065	0.018	0.026	0.034	0.086	0.132
Q5_5~~Q4_3	0.000	0.084	0.031	0.052	0.072	0.093	0.101	0.108
Q5_6~~Q4_3	0.000	-0.095	0.050	-0.142	-0.121	-0.098	-0.071	-0.046
Q5_8~~Q4_3	0.000	-0.105	0.025	-0.132	-0.113	-0.093	-0.091	-0.088
Q5_12~~Q4_3	0.000	-0.150	0.007	-0.157	-0.153	-0.149	-0.146	-0.144
Q6_1~~Q4_3	0.000	-0.072	0.037	-0.111	-0.088	-0.063	-0.052	-0.042
Q6_2~~Q4_3	0.000	-0.063	0.071	-0.136	-0.093	-0.045	-0.024	-0.005
Q6_3~~Q4_3	0.000	-0.056	0.034	-0.088	-0.074	-0.058	-0.039	-0.023
Q6_4~~Q4_3	0.000	0.029	0.021	0.012	0.018	0.025	0.038	0.051
Q6_5~~Q4_3	0.000	-0.043	0.018	-0.062	-0.052	-0.040	-0.034	-0.028
Q6_6~~Q4_3	0.000	-0.106	0.030	-0.136	-0.121	-0.103	-0.090	-0.079
Q6_8~~Q4_3	0.000	0.065	0.043	0.019	0.050	0.085	0.090	0.095
Q7_2~~Q4_3	0.000	-0.117	0.086	-0.192	-0.163	-0.131	-0.078	-0.030
Q7_4~~Q4_3	0.000	0.016	0.018	0.005	0.006	0.006	0.021	0.035
Q7_7~~Q4_3	0.000	0.119	0.006	0.115	0.116	0.116	0.121	0.125
Q7_8~~Q4_3	0.000	-0.153	0.044	-0.191	-0.176	-0.159	-0.133	-0.109
Q7_13~~Q4_3	0.000	0.152	0.009	0.143	0.148	0.152	0.156	0.160
Q7_14~~Q4_3	0.000	0.121	0.060	0.058	0.099	0.145	0.155	0.165
Q4_9~~Q4_4	0.000	-0.103	0.019	-0.122	-0.111	-0.099	-0.093	-0.087
Q4_11~~Q4_4	0.000	0.102	0.016	0.085	0.097	0.109	0.111	0.113
Q4_18~~Q4_4	0.000	-0.130	0.019	-0.151	-0.137	-0.122	-0.119	-0.117
Q5_2~~Q4_4	0.000	-0.120	0.028	-0.148	-0.133	-0.117	-0.105	-0.094
Q5_6~~Q4_4	0.000	0.030	0.052	-0.009	0.001	0.011	0.050	0.084
Q5_8~~Q4_4	0.000	-0.030	0.029	-0.050	-0.047	-0.043	-0.020	0.001
Q5_12~~Q4_4	0.000	-0.140	0.013	-0.154	-0.144	-0.133	-0.132	-0.131
Q6_2~~Q4_4	0.000	-0.046	0.044	-0.091	-0.065	-0.035	-0.022	-0.011
Q6_3~~Q4_4	0.000	-0.047	0.030	-0.077	-0.061	-0.044	-0.031	-0.019
Q6_4~~Q4_4	0.000	0.081	0.002	0.079	0.080	0.081	0.082	0.083
Q6_5~~Q4_4	0.000	-0.064	0.064	-0.115	-0.099	-0.081	-0.037	0.003
Q6_7~~Q4_4	0.000	-0.108	0.060	-0.172	-0.126	-0.075	-0.074	-0.072
Q6_8~~Q4_4	0.000	-0.039	0.063	-0.079	-0.076	-0.073	-0.020	0.028
Q7_2~~Q4_4	0.000	-0.084	0.037	-0.122	-0.101	-0.077	-0.064	-0.053
Q7_4~~Q4_4	0.000	0.035	0.038	0.006	0.014	0.022	0.050	0.075
Q7_5~~Q4_4	0.000	-0.071	0.035	-0.103	-0.089	-0.073	-0.054	-0.036
Q7_8~~Q4_4	0.000	-0.027	0.066	-0.079	-0.065	-0.049	-0.001	0.042
Q7_12~~Q4_4	0.000	0.120	0.052	0.083	0.090	0.098	0.138	0.174
Q7_14~~Q4_4	0.000	0.153	0.026	0.129	0.139	0.150	0.165	0.178
Q4_9~~Q4_5	0.000	0.107	0.017	0.091	0.099	0.107	0.115	0.123
Q4_10~~Q4_5	0.000	-0.003	0.056	-0.061	-0.028	0.010	0.028	0.044
Q4_11~~Q4_5	0.000	-0.033	0.069	-0.090	-0.071	-0.049	-0.003	0.038
Q4_15~~Q4_5	0.000	0.069	0.079	0.002	0.026	0.054	0.104	0.150
Q4_16~~Q4_5	0.000	-0.020	0.014	-0.032	-0.028	-0.023	-0.014	-0.005
Q4_18~~Q4_5	0.000	0.056	0.068	0.000	0.019	0.040	0.085	0.126
Q5_1~~Q4_5	0.000	0.122	0.025	0.103	0.109	0.116	0.133	0.148
Q5_2~~Q4_5	0.000	0.002	0.078	-0.081	-0.025	0.037	0.047	0.056
Q5_4~~Q4_5	0.000	-0.164	0.049	-0.197	-0.192	-0.186	-0.147	-0.111
Q5_6~~Q4_5	0.000	0.125	0.023	0.101	0.116	0.133	0.138	0.143
Q5_12~~Q4_5	0.000	-0.087	0.046	-0.136	-0.103	-0.066	-0.061	-0.056
Q6_1~~Q4_5	0.000	0.094	0.038	0.066	0.073	0.081	0.109	0.134
Q6_3~~Q4_5	0.000	0.120	0.043	0.082	0.097	0.113	0.139	0.163
Q6_4~~Q4_5	0.000	-0.062	0.068	-0.113	-0.100	-0.086	-0.036	0.010
Q6_5~~Q4_5	0.000	-0.043	0.023	-0.061	-0.055	-0.049	-0.033	-0.019
Q6_6~~Q4_5	0.000	0.133	0.024	0.111	0.121	0.132	0.145	0.156
Q6_7~~Q4_5	0.000	0.088	0.041	0.063	0.064	0.065	0.100	0.131
Q6_8~~Q4_5	0.000	-0.125	0.043	-0.161	-0.149	-0.136	-0.107	-0.080
Q6_11~~Q4_5	0.000	-0.126	0.030	-0.153	-0.142	-0.130	-0.112	-0.096
Q7_2~~Q4_5	0.000	0.162	0.017	0.147	0.153	0.160	0.170	0.180
Q7_4~~Q4_5	0.000	0.016	0.063	-0.026	-0.020	-0.013	0.038	0.084
Q7_5~~Q4_5	0.000	0.017	0.054	-0.016	-0.014	-0.012	0.034	0.075
Q7_7~~Q4_5	0.000	-0.101	0.032	-0.130	-0.117	-0.102	-0.085	-0.070
Q7_8~~Q4_5	0.000	0.121	0.052	0.068	0.098	0.132	0.149	0.164
Q7_14~~Q4_5	0.000	-0.127	0.038	-0.158	-0.147	-0.135	-0.110	-0.088
Q4_10~~Q4_8	0.000	-0.107	0.029	-0.137	-0.119	-0.098	-0.091	-0.085
Q4_15~~Q4_8	0.000	0.132	0.036	0.099	0.114	0.130	0.149	0.167
Q4_16~~Q4_8	0.000	0.035	0.023	0.014	0.023	0.033	0.046	0.058
Q4_18~~Q4_8	0.000	0.103	0.058	0.042	0.079	0.120	0.135	0.149
Q5_1~~Q4_8	0.000	0.134	0.031	0.108	0.118	0.128	0.148	0.166
Q5_2~~Q4_8	0.000	-0.046	0.046	-0.095	-0.060	-0.021	-0.020	-0.019
Q5_3~~Q4_8	0.000	0.169	0.003	0.166	0.168	0.170	0.171	0.171
Q5_6~~Q4_8	0.000	0.023	0.048	-0.011	-0.004	0.004	0.041	0.074
Q5_12~~Q4_8	0.000	0.056	0.079	-0.028	0.031	0.097	0.102	0.106
Q6_2~~Q4_8	0.000	-0.046	0.030	-0.078	-0.056	-0.031	-0.029	-0.028
Q6_3~~Q4_8	0.000	0.105	0.046	0.067	0.080	0.094	0.125	0.153
Q6_4~~Q4_8	0.000	0.026	0.057	-0.020	-0.005	0.012	0.050	0.085
Q6_5~~Q4_8	0.000	0.016	0.025	-0.005	0.003	0.013	0.028	0.041
Q6_7~~Q4_8	0.000	0.054	0.063	0.000	0.020	0.043	0.082	0.117
Q6_8~~Q4_8	0.000	-0.001	0.061	-0.064	-0.027	0.014	0.033	0.050
Q7_2~~Q4_8	0.000	0.166	0.008	0.159	0.162	0.165	0.170	0.175
Q7_4~~Q4_8	0.000	-0.018	0.076	-0.099	-0.049	0.007	0.024	0.040
Q7_5~~Q4_8	0.000	0.095	0.041	0.052	0.083	0.119	0.119	0.119
Q4_10~~Q4_9	0.000	0.079	0.050	0.037	0.052	0.068	0.101	0.131
Q4_11~~Q4_9	0.000	0.078	0.054	0.020	0.060	0.104	0.109	0.114
Q4_15~~Q4_9	0.000	0.121	0.095	0.021	0.085	0.155	0.175	0.193
Q4_16~~Q4_9	0.000	-0.096	0.065	-0.159	-0.128	-0.093	-0.063	-0.036
Q4_17~~Q4_9	0.000	0.064	0.056	0.007	0.038	0.073	0.094	0.113
Q4_18~~Q4_9	0.000	0.100	0.071	0.029	0.067	0.109	0.137	0.163
Q5_1~~Q4_9	0.000	0.078	0.019	0.058	0.070	0.083	0.089	0.093
Q5_2~~Q4_9	0.000	0.009	0.011	-0.003	0.005	0.014	0.016	0.017
Q5_3~~Q4_9	0.000	-0.006	0.045	-0.040	-0.032	-0.023	0.011	0.041
Q5_4~~Q4_9	0.000	-0.027	0.072	-0.099	-0.061	-0.018	0.011	0.036
Q5_5~~Q4_9	0.000	0.041	0.025	0.026	0.026	0.026	0.048	0.067
Q5_6~~Q4_9	0.000	-0.025	0.071	-0.098	-0.054	-0.006	0.014	0.032
Q5_8~~Q4_9	0.000	-0.049	0.073	-0.113	-0.088	-0.060	-0.015	0.025
Q5_12~~Q4_9	0.000	0.055	0.083	-0.032	0.021	0.080	0.101	0.121
Q6_1~~Q4_9	0.000	0.004	0.030	-0.017	-0.013	-0.008	0.015	0.035
Q6_2~~Q4_9	0.000	0.001	0.030	-0.030	-0.010	0.012	0.017	0.023
Q6_3~~Q4_9	0.000	-0.005	0.022	-0.026	-0.016	-0.006	0.006	0.016
Q6_4~~Q4_9	0.000	0.012	0.093	-0.050	-0.041	-0.031	0.044	0.111
Q6_5~~Q4_9	0.000	0.078	0.048	0.031	0.054	0.080	0.102	0.123
Q6_6~~Q4_9	0.000	-0.007	0.089	-0.087	-0.053	-0.015	0.035	0.080
Q6_7~~Q4_9	0.000	0.055	0.027	0.028	0.043	0.058	0.069	0.079
Q6_11~~Q4_9	0.000	-0.023	0.066	-0.083	-0.057	-0.028	0.009	0.042
Q7_4~~Q4_9	0.000	-0.053	0.030	-0.084	-0.067	-0.049	-0.037	-0.027
Q7_5~~Q4_9	0.000	0.046	0.079	-0.038	0.021	0.087	0.092	0.096
Q7_7~~Q4_9	0.000	-0.069	0.008	-0.075	-0.074	-0.072	-0.066	-0.060
Q7_8~~Q4_9	0.000	-0.024	0.046	-0.073	-0.038	0.002	0.002	0.003
Q7_12~~Q4_9	0.000	0.106	0.016	0.093	0.097	0.101	0.112	0.123
Q7_13~~Q4_9	0.000	0.056	0.023	0.036	0.044	0.054	0.067	0.080
Q7_14~~Q4_9	0.000	-0.077	0.043	-0.121	-0.095	-0.066	-0.053	-0.041
Q4_11~~Q4_10	0.000	0.021	0.094	-0.050	-0.032	-0.014	0.057	0.121
Q4_15~~Q4_10	0.000	-0.098	0.056	-0.133	-0.130	-0.128	-0.081	-0.039
Q4_16~~Q4_10	0.000	0.097	0.058	0.038	0.070	0.106	0.128	0.148
Q5_2~~Q4_10	0.000	-0.050	0.013	-0.063	-0.054	-0.044	-0.042	-0.040
Q5_6~~Q4_10	0.000	-0.095	0.070	-0.169	-0.120	-0.065	-0.054	-0.045
Q5_8~~Q4_10	0.000	-0.066	0.030	-0.088	-0.084	-0.079	-0.055	-0.034
Q5_12~~Q4_10	0.000	0.045	0.087	-0.018	-0.005	0.010	0.077	0.138
Q6_2~~Q4_10	0.000	-0.050	0.057	-0.089	-0.083	-0.077	-0.031	0.011
Q6_3~~Q4_10	0.000	-0.088	0.052	-0.132	-0.116	-0.099	-0.065	-0.034
Q6_4~~Q4_10	0.000	-0.017	0.074	-0.061	-0.060	-0.059	0.005	0.062
Q6_5~~Q4_10	0.000	-0.051	0.094	-0.145	-0.095	-0.040	-0.001	0.033
Q6_6~~Q4_10	0.000	-0.124	0.065	-0.193	-0.144	-0.090	-0.087	-0.084
Q6_7~~Q4_10	0.000	0.068	0.110	-0.033	0.011	0.061	0.121	0.175
Q6_8~~Q4_10	0.000	-0.071	0.041	-0.106	-0.093	-0.079	-0.053	-0.030
Q7_2~~Q4_10	0.000	-0.061	0.071	-0.130	-0.096	-0.059	-0.025	0.006
Q7_4~~Q4_10	0.000	-0.061	0.016	-0.070	-0.070	-0.070	-0.056	-0.043
Q7_5~~Q4_10	0.000	-0.089	0.093	-0.164	-0.141	-0.115	-0.051	0.007
Q7_8~~Q4_10	0.000	0.007	0.144	-0.148	-0.036	0.088	0.090	0.091
Q7_12~~Q4_10	0.000	0.131	0.051	0.077	0.115	0.157	0.161	0.164
Q7_13~~Q4_10	0.000	0.066	0.026	0.046	0.051	0.055	0.075	0.094
Q4_16~~Q4_11	0.000	-0.111	0.026	-0.133	-0.125	-0.116	-0.099	-0.084
Q4_17~~Q4_11	0.000	-0.062	0.028	-0.090	-0.075	-0.058	-0.047	-0.037
Q5_1~~Q4_11	0.000	-0.042	0.018	-0.061	-0.050	-0.038	-0.032	-0.027
Q5_2~~Q4_11	0.000	0.087	0.121	-0.040	0.039	0.126	0.155	0.180
Q5_3~~Q4_11	0.000	-0.011	0.021	-0.031	-0.022	-0.012	-0.001	0.009
Q5_4~~Q4_11	0.000	0.049	0.024	0.024	0.040	0.057	0.063	0.068
Q5_5~~Q4_11	0.000	0.054	0.048	0.026	0.027	0.028	0.069	0.105
Q5_6~~Q4_11	0.000	-0.135	0.044	-0.175	-0.159	-0.140	-0.115	-0.091
Q5_8~~Q4_11	0.000	-0.092	0.017	-0.111	-0.098	-0.085	-0.082	-0.080
Q5_12~~Q4_11	0.000	-0.057	0.040	-0.082	-0.080	-0.078	-0.045	-0.015
Q6_1~~Q4_11	0.000	-0.167	0.030	-0.197	-0.182	-0.166	-0.152	-0.139
Q6_2~~Q4_11	0.000	-0.160	0.004	-0.164	-0.161	-0.159	-0.157	-0.156
Q6_3~~Q4_11	0.000	-0.095	0.067	-0.161	-0.127	-0.089	-0.060	-0.033
Q6_5~~Q4_11	0.000	0.107	0.069	0.044	0.071	0.100	0.140	0.175
Q6_6~~Q4_11	0.000	-0.078	0.028	-0.106	-0.092	-0.076	-0.064	-0.054
Q6_11~~Q4_11	0.000	0.102	0.018	0.085	0.094	0.103	0.111	0.118
Q7_2~~Q4_11	0.000	-0.066	0.065	-0.129	-0.097	-0.062	-0.032	-0.006
Q7_4~~Q4_11	0.000	-0.081	0.050	-0.113	-0.110	-0.107	-0.065	-0.028
Q7_5~~Q4_11	0.000	0.135	0.015	0.124	0.126	0.129	0.141	0.152
Q7_8~~Q4_11	0.000	-0.012	0.003	-0.015	-0.013	-0.011	-0.010	-0.009
Q7_12~~Q4_11	0.000	0.117	0.053	0.061	0.097	0.138	0.147	0.154
Q7_13~~Q4_11	0.000	0.069	0.032	0.035	0.057	0.081	0.087	0.092
Q7_14~~Q4_11	0.000	0.055	0.041	0.018	0.034	0.051	0.075	0.096
Q4_17~~Q4_15	0.000	0.068	0.049	0.032	0.040	0.048	0.086	0.120
Q4_18~~Q4_15	0.000	0.104	0.024	0.079	0.094	0.111	0.118	0.124
Q5_1~~Q4_15	0.000	0.108	0.015	0.092	0.103	0.115	0.117	0.119
Q5_2~~Q4_15	0.000	0.040	0.107	-0.058	-0.016	0.032	0.091	0.144
Q5_3~~Q4_15	0.000	0.133	0.037	0.109	0.112	0.114	0.145	0.172
Q5_4~~Q4_15	0.000	-0.133	0.018	-0.145	-0.144	-0.142	-0.127	-0.114
Q5_5~~Q4_15	0.000	-0.084	0.023	-0.108	-0.091	-0.072	-0.071	-0.069
Q5_6~~Q4_15	0.000	-0.009	0.075	-0.087	-0.042	0.008	0.032	0.053
Q5_8~~Q4_15	0.000	0.093	0.055	0.048	0.062	0.078	0.116	0.149
Q6_1~~Q4_15	0.000	0.125	0.009	0.116	0.121	0.126	0.130	0.133
Q6_2~~Q4_15	0.000	0.029	0.044	-0.018	0.013	0.048	0.054	0.059
Q6_3~~Q4_15	0.000	0.029	0.072	-0.021	-0.013	-0.005	0.053	0.106
Q6_4~~Q4_15	0.000	0.088	0.007	0.081	0.086	0.092	0.093	0.093
Q6_5~~Q4_15	0.000	0.045	0.066	-0.007	0.008	0.025	0.072	0.114
Q6_6~~Q4_15	0.000	-0.021	0.016	-0.037	-0.026	-0.013	-0.011	-0.010
Q6_7~~Q4_15	0.000	0.065	0.038	0.025	0.052	0.082	0.087	0.092
Q6_8~~Q4_15	0.000	-0.040	0.021	-0.062	-0.047	-0.030	-0.028	-0.025
Q6_11~~Q4_15	0.000	-0.061	0.042	-0.106	-0.076	-0.043	-0.037	-0.032
Q7_2~~Q4_15	0.000	-0.029	0.055	-0.061	-0.060	-0.060	-0.013	0.029
Q7_4~~Q4_15	0.000	-0.036	0.099	-0.133	-0.082	-0.026	0.016	0.054
Q7_5~~Q4_15	0.000	-0.013	0.068	-0.060	-0.052	-0.044	0.010	0.059
Q7_7~~Q4_15	0.000	-0.156	0.018	-0.167	-0.166	-0.166	-0.150	-0.137
Q7_8~~Q4_15	0.000	-0.035	0.027	-0.060	-0.049	-0.036	-0.022	-0.010
Q7_12~~Q4_15	0.000	-0.069	0.043	-0.114	-0.084	-0.051	-0.044	-0.038
Q7_13~~Q4_15	0.000	-0.085	0.027	-0.106	-0.100	-0.094	-0.074	-0.056
Q7_14~~Q4_15	0.000	0.053	0.063	-0.013	0.029	0.077	0.089	0.099
Q4_18~~Q4_16	0.000	0.100	0.026	0.076	0.087	0.099	0.113	0.126
Q5_1~~Q4_16	0.000	0.070	0.042	0.028	0.050	0.075	0.092	0.107
Q5_2~~Q4_16	0.000	0.050	0.066	-0.018	0.023	0.068	0.087	0.103
Q5_3~~Q4_16	0.000	0.070	0.084	-0.011	0.027	0.070	0.112	0.150
Q5_4~~Q4_16	0.000	-0.053	0.036	-0.084	-0.073	-0.060	-0.037	-0.016
Q5_5~~Q4_16	0.000	-0.043	0.014	-0.058	-0.048	-0.037	-0.035	-0.033
Q5_6~~Q4_16	0.000	-0.037	0.012	-0.048	-0.042	-0.037	-0.031	-0.026
Q5_8~~Q4_16	0.000	0.037	0.034	0.001	0.025	0.052	0.057	0.062
Q6_1~~Q4_16	0.000	0.109	0.019	0.089	0.103	0.119	0.120	0.121
Q6_2~~Q4_16	0.000	-0.054	0.039	-0.092	-0.072	-0.049	-0.033	-0.020
Q6_4~~Q4_16	0.000	0.011	0.072	-0.065	-0.010	0.052	0.053	0.053
Q6_5~~Q4_16	0.000	0.070	0.003	0.066	0.068	0.071	0.071	0.072
Q6_6~~Q4_16	0.000	0.015	0.025	-0.001	0.000	0.001	0.022	0.041
Q6_7~~Q4_16	0.000	0.042	0.038	0.018	0.021	0.023	0.055	0.083
Q6_8~~Q4_16	0.000	-0.064	0.098	-0.146	-0.118	-0.087	-0.022	0.037
Q6_11~~Q4_16	0.000	0.000	0.043	-0.043	-0.019	0.009	0.024	0.037
Q7_2~~Q4_16	0.000	-0.046	0.060	-0.083	-0.081	-0.078	-0.027	0.019
Q7_4~~Q4_16	0.000	0.002	0.022	-0.021	-0.006	0.009	0.015	0.019
Q7_5~~Q4_16	0.000	-0.089	0.005	-0.094	-0.090	-0.087	-0.086	-0.086
Q7_7~~Q4_16	0.000	-0.050	0.035	-0.087	-0.064	-0.038	-0.030	-0.023
Q7_8~~Q4_16	0.000	0.051	0.051	-0.004	0.033	0.075	0.080	0.085
Q7_12~~Q4_16	0.000	-0.016	0.047	-0.059	-0.040	-0.019	0.006	0.029
Q7_13~~Q4_16	0.000	-0.032	0.078	-0.092	-0.076	-0.058	-0.001	0.050
Q7_14~~Q4_16	0.000	-0.060	0.055	-0.115	-0.087	-0.055	-0.032	-0.010
Q5_1~~Q4_17	0.000	0.074	0.028	0.045	0.062	0.081	0.090	0.098
Q5_2~~Q4_17	0.000	0.001	0.026	-0.027	-0.008	0.014	0.016	0.017
Q5_3~~Q4_17	0.000	0.121	0.030	0.090	0.109	0.129	0.137	0.145
Q5_6~~Q4_17	0.000	0.026	0.031	0.001	0.009	0.018	0.040	0.059
Q5_8~~Q4_17	0.000	0.058	0.098	-0.044	0.017	0.084	0.112	0.137
Q5_12~~Q4_17	0.000	0.158	0.007	0.151	0.155	0.160	0.162	0.164
Q6_2~~Q4_17	0.000	-0.021	0.037	-0.044	-0.042	-0.039	-0.009	0.019
Q6_3~~Q4_17	0.000	0.097	0.048	0.053	0.072	0.092	0.119	0.144
Q6_4~~Q4_17	0.000	-0.006	0.065	-0.075	-0.032	0.015	0.030	0.044
Q6_5~~Q4_17	0.000	0.005	0.032	-0.028	-0.007	0.016	0.023	0.030
Q6_7~~Q4_17	0.000	0.086	0.084	0.021	0.038	0.057	0.119	0.174
Q6_8~~Q4_17	0.000	-0.030	0.085	-0.121	-0.055	0.018	0.019	0.021
Q7_4~~Q4_17	0.000	0.038	0.042	-0.007	0.025	0.060	0.062	0.063
Q7_5~~Q4_17	0.000	0.132	0.032	0.098	0.121	0.147	0.151	0.154
Q7_8~~Q4_17	0.000	0.091	0.074	0.023	0.052	0.083	0.126	0.164
Q5_1~~Q4_18	0.000	0.155	0.042	0.114	0.134	0.157	0.177	0.194
Q5_2~~Q4_18	0.000	0.132	0.025	0.110	0.119	0.128	0.144	0.158
Q5_3~~Q4_18	0.000	0.157	0.025	0.142	0.143	0.143	0.164	0.183
Q5_5~~Q4_18	0.000	-0.131	0.006	-0.136	-0.134	-0.132	-0.128	-0.125
Q5_8~~Q4_18	0.000	-0.005	0.010	-0.013	-0.010	-0.007	0.000	0.006
Q5_12~~Q4_18	0.000	0.120	0.053	0.069	0.094	0.123	0.147	0.170
Q6_1~~Q4_18	0.000	0.135	0.045	0.088	0.116	0.147	0.159	0.170
Q6_2~~Q4_18	0.000	0.040	0.037	0.003	0.022	0.043	0.059	0.073
Q6_3~~Q4_18	0.000	0.007	0.112	-0.064	-0.058	-0.050	0.043	0.126
Q6_4~~Q4_18	0.000	-0.099	0.043	-0.143	-0.117	-0.089	-0.075	-0.062
Q6_5~~Q4_18	0.000	0.017	0.025	-0.009	0.009	0.030	0.031	0.032
Q6_6~~Q4_18	0.000	0.145	0.029	0.125	0.129	0.133	0.155	0.175
Q6_7~~Q4_18	0.000	0.094	0.047	0.061	0.067	0.074	0.111	0.144
Q6_8~~Q4_18	0.000	0.090	0.031	0.061	0.074	0.090	0.106	0.120
Q7_2~~Q4_18	0.000	0.115	0.043	0.070	0.098	0.130	0.140	0.149
Q7_4~~Q4_18	0.000	0.162	0.032	0.132	0.146	0.161	0.178	0.193
Q7_5~~Q4_18	0.000	0.133	0.043	0.093	0.111	0.130	0.154	0.175
Q7_8~~Q4_18	0.000	-0.102	0.037	-0.131	-0.123	-0.115	-0.088	-0.063
Q7_13~~Q4_18	0.000	-0.120	0.044	-0.163	-0.140	-0.115	-0.097	-0.080
Q5_6~~Q5_1	0.000	0.032	0.028	0.004	0.019	0.034	0.046	0.057
Q5_8~~Q5_1	0.000	0.070	0.035	0.047	0.050	0.053	0.082	0.108
Q5_12~~Q5_1	0.000	0.128	0.068	0.058	0.100	0.145	0.166	0.184
Q6_2~~Q5_1	0.000	0.006	0.055	-0.049	-0.019	0.015	0.036	0.055
Q6_3~~Q5_1	0.000	0.080	0.013	0.071	0.072	0.074	0.084	0.093
Q6_4~~Q5_1	0.000	-0.026	0.047	-0.070	-0.050	-0.028	-0.002	0.020
Q6_5~~Q5_1	0.000	-0.050	0.087	-0.106	-0.101	-0.094	-0.022	0.043
Q6_7~~Q5_1	0.000	-0.006	0.049	-0.057	-0.025	0.012	0.022	0.031
Q6_8~~Q5_1	0.000	0.009	0.043	-0.038	-0.005	0.031	0.034	0.036
Q7_8~~Q5_1	0.000	0.067	0.009	0.057	0.063	0.069	0.072	0.075
Q5_4~~Q5_2	0.000	-0.023	0.048	-0.064	-0.049	-0.032	-0.001	0.026
Q5_5~~Q5_2	0.000	-0.048	0.050	-0.101	-0.066	-0.028	-0.020	-0.012
Q5_12~~Q5_2	0.000	0.009	0.050	-0.038	-0.016	0.008	0.033	0.056
Q6_1~~Q5_2	0.000	0.013	0.023	-0.011	0.002	0.017	0.025	0.033
Q6_2~~Q5_2	0.000	0.034	0.048	-0.004	0.008	0.021	0.054	0.084
Q6_3~~Q5_2	0.000	0.060	0.072	-0.017	0.038	0.101	0.102	0.102
Q6_4~~Q5_2	0.000	0.116	0.010	0.110	0.110	0.110	0.119	0.127
Q6_5~~Q5_2	0.000	-0.032	0.022	-0.045	-0.044	-0.043	-0.025	-0.009
Q6_6~~Q5_2	0.000	0.085	0.055	0.028	0.061	0.098	0.115	0.130
Q6_7~~Q5_2	0.000	-0.095	0.097	-0.187	-0.145	-0.097	-0.047	-0.002
Q6_8~~Q5_2	0.000	0.032	0.065	-0.023	-0.003	0.019	0.061	0.099
Q6_11~~Q5_2	0.000	-0.007	0.053	-0.059	-0.034	-0.006	0.020	0.043
Q7_2~~Q5_2	0.000	0.122	0.022	0.103	0.110	0.118	0.132	0.145
Q7_4~~Q5_2	0.000	0.011	0.004	0.007	0.010	0.013	0.013	0.014
Q7_7~~Q5_2	0.000	-0.104	0.027	-0.133	-0.114	-0.093	-0.089	-0.085
Q7_8~~Q5_2	0.000	-0.184	0.009	-0.193	-0.188	-0.182	-0.179	-0.176
Q7_12~~Q5_2	0.000	0.023	0.078	-0.043	-0.019	0.008	0.058	0.103
Q7_13~~Q5_2	0.000	0.012	0.009	0.002	0.008	0.015	0.017	0.018
Q7_14~~Q5_2	0.000	0.060	0.037	0.026	0.041	0.057	0.078	0.097
Q5_6~~Q5_3	0.000	0.125	0.021	0.106	0.114	0.122	0.135	0.146
Q5_8~~Q5_3	0.000	0.116	0.064	0.077	0.080	0.083	0.136	0.184
Q5_12~~Q5_3	0.000	0.014	0.038	-0.025	-0.004	0.018	0.034	0.048
Q6_2~~Q5_3	0.000	0.123	0.030	0.090	0.114	0.139	0.140	0.141
Q6_3~~Q5_3	0.000	0.061	0.019	0.047	0.050	0.054	0.068	0.080
Q6_4~~Q5_3	0.000	0.089	0.047	0.042	0.068	0.096	0.114	0.130
Q6_5~~Q5_3	0.000	0.024	0.033	0.001	0.005	0.010	0.036	0.059
Q6_7~~Q5_3	0.000	-0.036	0.076	-0.094	-0.078	-0.061	-0.006	0.044
Q6_8~~Q5_3	0.000	-0.049	0.052	-0.092	-0.078	-0.062	-0.027	0.004
Q7_4~~Q5_3	0.000	0.018	0.040	-0.024	0.006	0.040	0.041	0.042
Q7_5~~Q5_3	0.000	0.099	0.062	0.049	0.064	0.081	0.124	0.163
Q7_8~~Q5_3	0.000	0.060	0.063	-0.006	0.033	0.077	0.095	0.110
Q5_8~~Q5_4	0.000	-0.135	0.039	-0.165	-0.157	-0.148	-0.120	-0.094
Q6_2~~Q5_4	0.000	-0.060	0.029	-0.078	-0.077	-0.076	-0.051	-0.030
Q6_3~~Q5_4	0.000	-0.073	0.048	-0.124	-0.091	-0.056	-0.046	-0.037
Q6_4~~Q5_4	0.000	0.067	0.045	0.025	0.044	0.065	0.089	0.110
Q6_5~~Q5_4	0.000	0.077	0.030	0.054	0.061	0.068	0.089	0.109
Q6_7~~Q5_4	0.000	0.068	0.045	0.038	0.043	0.048	0.084	0.116
Q6_8~~Q5_4	0.000	-0.134	0.015	-0.150	-0.140	-0.129	-0.126	-0.123
Q7_4~~Q5_4	0.000	-0.097	0.075	-0.157	-0.139	-0.118	-0.065	-0.018
Q6_2~~Q5_5	0.000	-0.068	0.043	-0.112	-0.086	-0.056	-0.044	-0.033
Q6_3~~Q5_5	0.000	-0.121	0.016	-0.131	-0.131	-0.131	-0.116	-0.104
Q6_4~~Q5_5	0.000	0.009	0.050	-0.020	-0.019	-0.019	0.024	0.062
Q6_5~~Q5_5	0.000	-0.032	0.047	-0.071	-0.057	-0.043	-0.011	0.017
Q6_7~~Q5_5	0.000	-0.042	0.038	-0.079	-0.061	-0.040	-0.023	-0.008
Q6_8~~Q5_5	0.000	0.053	0.019	0.042	0.042	0.042	0.059	0.073
Q7_4~~Q5_5	0.000	-0.125	0.026	-0.151	-0.137	-0.121	-0.111	-0.102
Q7_8~~Q5_5	0.000	-0.161	0.041	-0.188	-0.185	-0.181	-0.147	-0.116
Q5_12~~Q5_6	0.000	0.098	0.037	0.058	0.084	0.113	0.119	0.125
Q6_1~~Q5_6	0.000	0.080	0.034	0.047	0.064	0.084	0.098	0.111
Q6_2~~Q5_6	0.000	0.042	0.080	-0.043	0.018	0.086	0.088	0.090
Q6_3~~Q5_6	0.000	0.015	0.021	0.000	0.003	0.006	0.023	0.038
Q6_4~~Q5_6	0.000	-0.059	0.055	-0.114	-0.084	-0.051	-0.029	-0.010
Q6_5~~Q5_6	0.000	0.008	0.015	-0.008	0.000	0.009	0.016	0.022
Q6_7~~Q5_6	0.000	-0.096	0.054	-0.133	-0.127	-0.119	-0.077	-0.038
Q6_8~~Q5_6	0.000	-0.096	0.038	-0.136	-0.112	-0.085	-0.075	-0.067
Q6_11~~Q5_6	0.000	-0.055	0.085	-0.104	-0.103	-0.103	-0.030	0.036
Q7_2~~Q5_6	0.000	0.059	0.032	0.026	0.046	0.067	0.077	0.085
Q7_5~~Q5_6	0.000	0.081	0.015	0.066	0.074	0.083	0.089	0.094
Q5_12~~Q5_8	0.000	0.163	0.046	0.114	0.144	0.177	0.188	0.199
Q6_1~~Q5_8	0.000	0.127	0.021	0.112	0.115	0.118	0.135	0.150
Q6_2~~Q5_8	0.000	0.068	0.045	0.022	0.048	0.078	0.092	0.105
Q6_4~~Q5_8	0.000	0.019	0.105	-0.092	-0.018	0.064	0.079	0.092
Q6_5~~Q5_8	0.000	-0.026	0.073	-0.097	-0.061	-0.020	0.012	0.041
Q6_7~~Q5_8	0.000	0.067	0.015	0.051	0.063	0.075	0.075	0.076
Q6_11~~Q5_8	0.000	-0.056	0.084	-0.120	-0.103	-0.085	-0.023	0.033
Q7_4~~Q5_8	0.000	-0.096	0.016	-0.112	-0.103	-0.092	-0.087	-0.083
Q7_5~~Q5_8	0.000	0.088	0.103	0.000	0.032	0.066	0.133	0.193
Q7_7~~Q5_8	0.000	-0.088	0.063	-0.142	-0.122	-0.101	-0.060	-0.024
Q7_14~~Q5_8	0.000	-0.132	0.024	-0.153	-0.145	-0.136	-0.121	-0.107
Q6_1~~Q5_12	0.000	0.065	0.069	-0.008	0.037	0.088	0.104	0.119
Q6_2~~Q5_12	0.000	-0.006	0.113	-0.085	-0.071	-0.056	0.033	0.113
Q6_3~~Q5_12	0.000	-0.098	0.069	-0.171	-0.121	-0.065	-0.058	-0.053
Q6_4~~Q5_12	0.000	-0.141	0.059	-0.182	-0.174	-0.167	-0.120	-0.078
Q6_5~~Q5_12	0.000	0.059	0.062	0.006	0.026	0.048	0.087	0.123
Q6_6~~Q5_12	0.000	0.107	0.038	0.075	0.085	0.097	0.123	0.146
Q6_8~~Q5_12	0.000	-0.027	0.090	-0.114	-0.070	-0.022	0.019	0.056
Q6_11~~Q5_12	0.000	-0.064	0.075	-0.133	-0.103	-0.069	-0.028	0.009
Q7_2~~Q5_12	0.000	0.136	0.041	0.093	0.119	0.148	0.159	0.169
Q7_4~~Q5_12	0.000	0.117	0.081	0.035	0.081	0.131	0.161	0.188
Q7_5~~Q5_12	0.000	0.121	0.045	0.094	0.095	0.096	0.135	0.170
Q7_12~~Q5_12	0.000	-0.099	0.034	-0.129	-0.118	-0.105	-0.084	-0.065
Q7_13~~Q5_12	0.000	-0.034	0.047	-0.077	-0.059	-0.039	-0.012	0.013
Q7_14~~Q5_12	0.000	-0.122	0.048	-0.161	-0.148	-0.134	-0.102	-0.072
Q6_4~~Q6_1	0.000	0.033	0.019	0.020	0.022	0.024	0.040	0.054
Q6_5~~Q6_1	0.000	-0.004	0.034	-0.025	-0.024	-0.023	0.006	0.032
Q6_7~~Q6_1	0.000	-0.113	0.079	-0.184	-0.154	-0.121	-0.076	-0.035
Q6_8~~Q6_1	0.000	-0.066	0.014	-0.081	-0.071	-0.061	-0.058	-0.056
Q7_4~~Q6_1	0.000	0.022	0.039	-0.020	0.010	0.044	0.045	0.046
Q7_5~~Q6_1	0.000	0.022	0.044	-0.024	0.007	0.041	0.047	0.053
Q7_8~~Q6_1	0.000	-0.024	0.025	-0.051	-0.033	-0.013	-0.010	-0.007
Q6_5~~Q6_2	0.000	-0.104	0.037	-0.143	-0.117	-0.089	-0.083	-0.077
Q6_6~~Q6_2	0.000	-0.098	0.047	-0.137	-0.123	-0.108	-0.077	-0.050
Q6_8~~Q6_2	0.000	0.051	0.045	0.006	0.031	0.059	0.076	0.091
Q6_11~~Q6_2	0.000	-0.099	0.032	-0.129	-0.116	-0.102	-0.084	-0.067
Q7_2~~Q6_2	0.000	0.015	0.044	-0.028	-0.006	0.017	0.038	0.056
Q7_5~~Q6_2	0.000	0.049	0.024	0.025	0.037	0.050	0.061	0.071
Q7_7~~Q6_2	0.000	-0.051	0.022	-0.075	-0.059	-0.041	-0.039	-0.037
Q7_8~~Q6_2	0.000	-0.090	0.064	-0.149	-0.123	-0.095	-0.060	-0.028
Q7_12~~Q6_2	0.000	-0.076	0.056	-0.128	-0.105	-0.079	-0.049	-0.022
Q7_13~~Q6_2	0.000	-0.093	0.038	-0.122	-0.115	-0.107	-0.079	-0.053
Q7_14~~Q6_2	0.000	-0.114	0.022	-0.137	-0.123	-0.107	-0.102	-0.098
Q6_4~~Q6_3	0.000	-0.031	0.045	-0.079	-0.045	-0.007	-0.005	-0.002
Q6_5~~Q6_3	0.000	-0.034	0.028	-0.062	-0.046	-0.029	-0.019	-0.010
Q6_6~~Q6_3	0.000	0.061	0.019	0.041	0.054	0.068	0.072	0.075
Q6_7~~Q6_3	0.000	0.040	0.039	0.016	0.018	0.020	0.053	0.082
Q6_8~~Q6_3	0.000	-0.108	0.051	-0.153	-0.135	-0.115	-0.084	-0.056
Q7_2~~Q6_3	0.000	0.029	0.009	0.020	0.025	0.030	0.034	0.038
Q7_4~~Q6_3	0.000	0.024	0.032	-0.009	0.010	0.030	0.041	0.051
Q7_5~~Q6_3	0.000	-0.037	0.023	-0.052	-0.051	-0.049	-0.030	-0.013
Q7_8~~Q6_3	0.000	0.028	0.034	0.005	0.008	0.012	0.039	0.064
Q7_12~~Q6_3	0.000	-0.118	0.025	-0.132	-0.132	-0.132	-0.110	-0.091
Q7_13~~Q6_3	0.000	-0.082	0.030	-0.112	-0.096	-0.079	-0.067	-0.056
Q7_14~~Q6_3	0.000	-0.047	0.015	-0.062	-0.054	-0.045	-0.039	-0.033
Q6_6~~Q6_4	0.000	-0.117	0.051	-0.153	-0.146	-0.138	-0.098	-0.063
Q6_11~~Q6_4	0.000	-0.028	0.034	-0.057	-0.046	-0.034	-0.012	0.007
Q7_2~~Q6_4	0.000	-0.040	0.032	-0.074	-0.050	-0.023	-0.021	-0.019
Q7_4~~Q6_4	0.000	-0.060	0.095	-0.161	-0.088	-0.006	-0.005	-0.004
Q7_5~~Q6_4	0.000	-0.090	0.016	-0.106	-0.095	-0.081	-0.081	-0.080
Q7_7~~Q6_4	0.000	0.048	0.042	0.004	0.031	0.061	0.071	0.081
Q7_12~~Q6_4	0.000	0.067	0.037	0.028	0.054	0.083	0.088	0.093
Q7_13~~Q6_4	0.000	0.035	0.014	0.020	0.031	0.042	0.043	0.043
Q7_14~~Q6_4	0.000	0.031	0.052	-0.022	0.008	0.041	0.060	0.076
Q6_6~~Q6_5	0.000	0.046	0.045	-0.001	0.026	0.055	0.070	0.084
Q6_8~~Q6_5	0.000	-0.084	0.035	-0.115	-0.103	-0.090	-0.068	-0.048
Q6_11~~Q6_5	0.000	0.102	0.052	0.069	0.072	0.076	0.119	0.158
Q7_2~~Q6_5	0.000	-0.110	0.045	-0.155	-0.131	-0.104	-0.086	-0.070
Q7_4~~Q6_5	0.000	-0.046	0.066	-0.102	-0.082	-0.060	-0.017	0.021
Q7_5~~Q6_5	0.000	0.005	0.061	-0.058	-0.022	0.017	0.038	0.057
Q7_7~~Q6_5	0.000	0.030	0.026	0.002	0.022	0.044	0.045	0.047
Q7_8~~Q6_5	0.000	0.060	0.028	0.032	0.049	0.068	0.076	0.082
Q7_12~~Q6_5	0.000	0.083	0.071	0.007	0.060	0.118	0.124	0.129
Q7_13~~Q6_5	0.000	0.011	0.064	-0.041	-0.025	-0.006	0.038	0.077
Q7_14~~Q6_5	0.000	0.054	0.066	-0.017	0.034	0.090	0.092	0.094
Q6_7~~Q6_6	0.000	0.127	0.043	0.101	0.102	0.103	0.140	0.173
Q6_8~~Q6_6	0.000	-0.071	0.032	-0.105	-0.083	-0.057	-0.053	-0.049
Q7_4~~Q6_6	0.000	0.078	0.065	0.009	0.053	0.101	0.115	0.127
Q7_5~~Q6_6	0.000	0.167	0.017	0.153	0.158	0.163	0.174	0.184
Q7_8~~Q6_6	0.000	0.125	0.044	0.078	0.110	0.145	0.151	0.156
Q6_8~~Q6_7	0.000	0.096	0.049	0.056	0.069	0.085	0.117	0.147
Q6_11~~Q6_7	0.000	-0.015	0.018	-0.027	-0.025	-0.023	-0.009	0.005
Q7_2~~Q6_7	0.000	0.074	0.087	-0.016	0.035	0.092	0.121	0.148
Q7_4~~Q6_7	0.000	-0.043	0.028	-0.061	-0.059	-0.057	-0.034	-0.013
Q7_5~~Q6_7	0.000	0.142	0.039	0.112	0.120	0.128	0.157	0.183
Q7_7~~Q6_7	0.000	-0.033	0.039	-0.072	-0.051	-0.028	-0.012	0.001
Q7_8~~Q6_7	0.000	0.035	0.107	-0.066	-0.020	0.032	0.088	0.138
Q7_12~~Q6_7	0.000	-0.022	0.044	-0.051	-0.048	-0.043	-0.007	0.025
Q7_13~~Q6_7	0.000	-0.052	0.034	-0.088	-0.062	-0.034	-0.032	-0.031
Q7_14~~Q6_7	0.000	-0.032	0.041	-0.066	-0.054	-0.042	-0.014	0.011
Q6_11~~Q6_8	0.000	-0.045	0.031	-0.070	-0.062	-0.053	-0.032	-0.012
Q7_2~~Q6_8	0.000	0.093	0.088	0.021	0.045	0.071	0.130	0.184
Q7_7~~Q6_8	0.000	0.014	0.012	0.002	0.008	0.015	0.020	0.025
Q7_8~~Q6_8	0.000	0.068	0.023	0.044	0.058	0.074	0.080	0.086
Q7_12~~Q6_8	0.000	0.072	0.056	0.017	0.046	0.079	0.102	0.122
Q7_13~~Q6_8	0.000	-0.004	0.074	-0.081	-0.036	0.014	0.037	0.057
Q7_14~~Q6_8	0.000	-0.096	0.049	-0.148	-0.112	-0.073	-0.067	-0.062
Q7_4~~Q6_11	0.000	-0.030	0.026	-0.058	-0.038	-0.017	-0.015	-0.014
Q7_8~~Q6_11	0.000	-0.010	0.040	-0.052	-0.024	0.006	0.013	0.019
Q7_13~~Q6_11	0.000	0.144	0.012	0.134	0.137	0.140	0.149	0.157
Q7_4~~Q7_2	0.000	0.169	0.031	0.135	0.158	0.183	0.186	0.190
Q7_5~~Q7_2	0.000	0.071	0.027	0.055	0.055	0.055	0.079	0.100
Q7_8~~Q7_2	0.000	0.029	0.076	-0.037	-0.012	0.016	0.063	0.106
Q7_7~~Q7_4	0.000	-0.106	0.087	-0.193	-0.147	-0.096	-0.060	-0.029
Q7_8~~Q7_4	0.000	0.006	0.104	-0.102	-0.039	0.031	0.063	0.092
Q7_7~~Q7_5	0.000	-0.160	0.049	-0.196	-0.188	-0.178	-0.141	-0.109
Q7_13~~Q7_5	0.000	-0.138	0.067	-0.185	-0.176	-0.165	-0.113	-0.066
Q7_8~~Q7_7	0.000	0.067	0.079	0.004	0.023	0.043	0.099	0.149
Q7_12~~Q7_8	0.000	-0.131	0.060	-0.182	-0.164	-0.144	-0.104	-0.069
Q7_13~~Q7_8	0.000	-0.124	0.017	-0.142	-0.131	-0.118	-0.115	-0.111

Modified Model

mod2 <- "
EL =~ Q4_3 + Q4_4 + Q4_5 + Q4_9 + Q4_11 + Q4_15 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_5 + Q5_6 + Q5_12
IN =~ Q6_2 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_14

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN

Q4_3 ~~ Q4_4
Q5_5 + Q5_2 ~~ Q5_6
Q6_2 ~~ Q6_8
Q7_7 ~~ Q7_8
"

fit2 <- lavaan::cfa(mod2, data=mydata, estimator = "MLM")
summary(fit2, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 62 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         61
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               723.005     540.595
  Degrees of freedom                               264         264
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.337
       Satorra-Bentler correction                                 

Model Test Baseline Model:

  Test statistic                              4736.187    3156.822
  Degrees of freedom                               300         300
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.500

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.897       0.903
  Tucker-Lewis Index (TLI)                       0.882       0.890
                                                                  
  Robust Comparative Fit Index (CFI)                         0.914
  Robust Tucker-Lewis Index (TLI)                            0.902

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8522.977   -8522.977
  Loglikelihood unrestricted model (H1)      -8161.475   -8161.475
                                                                  
  Akaike (AIC)                               17167.955   17167.955
  Bayesian (BIC)                             17396.278   17396.278
  Sample-size adjusted Bayesian (BIC)        17202.807   17202.807

Root Mean Square Error of Approximation:

  RMSEA                                          0.075       0.058
  90 Percent confidence interval - lower         0.068       0.052
  90 Percent confidence interval - upper         0.081       0.064
  P-value RMSEA <= 0.05                          0.000       0.016
                                                                  
  Robust RMSEA                                               0.067
  90 Percent confidence interval - lower                     0.059
  90 Percent confidence interval - upper                     0.075

Standardized Root Mean Square Residual:

  SRMR                                           0.063       0.063

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_3              1.000                               0.629    0.743
    Q4_4              1.037    0.051   20.319    0.000    0.652    0.770
    Q4_5              1.049    0.077   13.662    0.000    0.660    0.758
    Q4_9              1.076    0.093   11.507    0.000    0.676    0.701
    Q4_11             1.163    0.083   14.020    0.000    0.732    0.770
    Q4_15             1.004    0.071   14.060    0.000    0.631    0.716
    Q4_18             1.015    0.069   14.748    0.000    0.639    0.809
  SC =~                                                                 
    Q5_1              1.000                               0.636    0.669
    Q5_2              1.069    0.097   11.060    0.000    0.679    0.673
    Q5_3              1.121    0.097   11.600    0.000    0.712    0.685
    Q5_5              1.069    0.111    9.654    0.000    0.679    0.642
    Q5_6              1.045    0.099   10.588    0.000    0.664    0.721
    Q5_12             1.012    0.093   10.824    0.000    0.643    0.636
  IN =~                                                                 
    Q6_2              1.000                               0.597    0.657
    Q6_5              0.925    0.122    7.583    0.000    0.552    0.503
    Q6_6              1.060    0.095   11.169    0.000    0.633    0.806
    Q6_7              1.250    0.122   10.277    0.000    0.746    0.852
    Q6_8              1.094    0.090   12.147    0.000    0.653    0.784
    Q6_11             1.110    0.126    8.787    0.000    0.663    0.680
  EN =~                                                                 
    Q7_2              1.000                               0.682    0.770
    Q7_4              0.933    0.070   13.359    0.000    0.637    0.676
    Q7_5              1.072    0.076   14.177    0.000    0.732    0.777
    Q7_7              0.982    0.101    9.749    0.000    0.670    0.629
    Q7_8              1.027    0.078   13.158    0.000    0.701    0.749
    Q7_14             0.873    0.102    8.520    0.000    0.596    0.572

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.277    0.047    5.871    0.000    0.694    0.694
    IN                0.284    0.048    5.938    0.000    0.756    0.756
    EN                0.319    0.047    6.797    0.000    0.744    0.744
  SC ~~                                                                 
    IN                0.254    0.046    5.502    0.000    0.670    0.670
    EN                0.357    0.048    7.382    0.000    0.824    0.824
  IN ~~                                                                 
    EN                0.321    0.051    6.352    0.000    0.789    0.789
 .Q4_3 ~~                                                               
   .Q4_4              0.117    0.024    4.895    0.000    0.117    0.381
 .Q5_5 ~~                                                               
   .Q5_6              0.152    0.042    3.653    0.000    0.152    0.293
 .Q5_2 ~~                                                               
   .Q5_6             -0.063    0.035   -1.805    0.071   -0.063   -0.132
 .Q6_2 ~~                                                               
   .Q6_8              0.097    0.036    2.654    0.008    0.097    0.273
 .Q7_7 ~~                                                               
   .Q7_8              0.136    0.045    3.040    0.002    0.136    0.264

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.396    0.062    6.400    0.000    1.000    1.000
    SC                0.404    0.063    6.444    0.000    1.000    1.000
    IN                0.356    0.073    4.906    0.000    1.000    1.000
    EN                0.466    0.065    7.217    0.000    1.000    1.000
   .Q4_3              0.321    0.034    9.370    0.000    0.321    0.448
   .Q4_4              0.292    0.025   11.714    0.000    0.292    0.407
   .Q4_5              0.321    0.042    7.703    0.000    0.321    0.425
   .Q4_9              0.474    0.048    9.855    0.000    0.474    0.509
   .Q4_11             0.368    0.038    9.722    0.000    0.368    0.408
   .Q4_15             0.380    0.040    9.395    0.000    0.380    0.488
   .Q4_18             0.215    0.026    8.149    0.000    0.215    0.345
   .Q5_1              0.499    0.045   11.027    0.000    0.499    0.553
   .Q5_2              0.559    0.059    9.527    0.000    0.559    0.548
   .Q5_3              0.574    0.059    9.727    0.000    0.574    0.531
   .Q5_5              0.658    0.068    9.621    0.000    0.658    0.588
   .Q5_6              0.408    0.048    8.515    0.000    0.408    0.481
   .Q5_12             0.609    0.064    9.570    0.000    0.609    0.595
   .Q6_2              0.469    0.056    8.358    0.000    0.469    0.568
   .Q6_5              0.901    0.085   10.586    0.000    0.901    0.747
   .Q6_6              0.217    0.027    8.131    0.000    0.217    0.351
   .Q6_7              0.210    0.030    6.938    0.000    0.210    0.274
   .Q6_8              0.268    0.036    7.459    0.000    0.268    0.386
   .Q6_11             0.512    0.051   10.125    0.000    0.512    0.538
   .Q7_2              0.320    0.039    8.308    0.000    0.320    0.408
   .Q7_4              0.481    0.048    9.934    0.000    0.481    0.542
   .Q7_5              0.351    0.044    7.909    0.000    0.351    0.396
   .Q7_7              0.687    0.061   11.183    0.000    0.687    0.605
   .Q7_8              0.385    0.048    8.068    0.000    0.385    0.440
   .Q7_14             0.731    0.061   11.909    0.000    0.731    0.673

Next, use the Vuong test of nonnested models to compare the relative fit.

fit1 <- lavaan::cfa(mod1, data=mydata)
fit2 <- lavaan::cfa(mod2, data=mydata)

nonnest2::vuongtest(fit1, fit2)

Model 1 
 Class: lavaan 
 Call: lavaan::lavaan(model = mod1, data = mydata, model.type = "cfa", ...

Model 2 
 Class: lavaan 
 Call: lavaan::lavaan(model = mod2, data = mydata, model.type = "cfa", ...

Variance test 
  H0: Model 1 and Model 2 are indistinguishable 
  H1: Model 1 and Model 2 are distinguishable 
    w2 = 29.013,   p = 1.7e-08

Non-nested likelihood ratio test 
  H0: Model fits are equal for the focal population 
  H1A: Model 1 fits better than Model 2 
    z = -44.521,   p = 1
  H1B: Model 2 fits better than Model 1 
    z = -44.521,   p = < 2.2e-16

Final Model with Reliability Estimates

mod3 <- "
EL =~ 1*Q4_3 + lam44*Q4_4 + lam45*Q4_5 + lam49*Q4_9 + lam411*Q4_11 + lam415*Q4_15 + lam418*Q4_18
SC =~ 1*Q5_1 + lam52*Q5_2 + lam53*Q5_3 + lam55*Q5_5 + lam56*Q5_6 + lam512*Q5_12
IN =~ 1*Q6_2 + lam65*Q6_5 + lam66*Q6_6 + lam67*Q6_7 + lam68*Q6_8 + lam611*Q6_11
EN =~ 1*Q7_2 + lam74*Q7_4 + lam75*Q7_5 + lam77*Q7_7 + lam78*Q7_8 + lam714*Q7_14

# Factor covarainces
EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN

# Item residual variances
Q4_3 ~~ psi43*Q4_3
Q4_4 ~~ psi44*Q4_4
Q4_5 ~~ psi45*Q4_5
Q4_9 ~~ psi49*Q4_9
Q4_11 ~~ psi411*Q4_11
Q4_15 ~~ psi415*Q4_15
Q4_18 ~~ psi418*Q4_18
Q5_1 ~~ psi51*Q5_1
Q5_2 ~~ psi52*Q5_2
Q5_3 ~~ psi53*Q5_3
Q5_5 ~~ psi55*Q5_5
Q5_6 ~~ psi56*Q5_6
Q5_12 ~~ psi512*Q5_12
Q6_2 ~~ psi62*Q6_2
Q6_5 ~~ psi65*Q6_5
Q6_6 ~~ psi66*Q6_6
Q6_7 ~~ psi67*Q6_7
Q6_8 ~~ psi68*Q6_8
Q6_11 ~~ psi611*Q6_11
Q7_2 ~~ psi72*Q7_2
Q7_4 ~~ psi74*Q7_4
Q7_5 ~~ psi75*Q7_5
Q7_7 ~~ psi77*Q7_7
Q7_8 ~~ psi78*Q7_8
Q7_14 ~~ psi714*Q7_14

Q4_3 ~~ Q4_4
Q5_5 + Q5_2 ~~ Q5_6
Q6_2 ~~ Q6_8
Q7_7 ~~ Q7_8

# Factor Reliabilities
rEL := (1**2 + lam44**2 + lam45**2 + lam49**2 + lam411**2 + lam415**2 + lam418**2)/(1**2 + lam44**2 + lam45**2 + lam49**2 + lam411**2 + lam415**2 + lam418**2 + psi43 + psi44 + psi45 + psi49 + psi411 + psi415 + psi418)
rSC := (1 + lam52**2 + lam53**2 + lam55**2 + lam56**2 + lam512**2)/(1 + lam52**2 + lam53**2 + lam55**2 + lam56**2 + lam512**2 + psi51 + psi52 + psi53 + psi55 + psi56 + psi512)
rIN := (1**2 + lam65**2 + lam66**2 + lam67**2 + lam68**2 + lam611**2)/(1**2 + lam65**2 + lam66**2 + lam67**2 + lam68**2 + lam611**2 + psi62 + psi65 + psi66 + psi67 + psi68 + psi611)
rEN := (1**2 + lam74**2 + lam75**2 + lam77**2 + lam78**2 + lam714**2)/(1**2 + lam74**2 + lam75**2 + lam77**2 + lam78**2 + lam714**2 + psi72 + psi74 + psi75 + psi77 + psi78 + psi714)
"

fit3 <- lavaan::cfa(mod3, data=mydata, estimator = "MLM")
summary(fit3, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 62 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         61
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               723.005     540.595
  Degrees of freedom                               264         264
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.337
       Satorra-Bentler correction                                 

Model Test Baseline Model:

  Test statistic                              4736.187    3156.822
  Degrees of freedom                               300         300
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.500

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.897       0.903
  Tucker-Lewis Index (TLI)                       0.882       0.890
                                                                  
  Robust Comparative Fit Index (CFI)                         0.914
  Robust Tucker-Lewis Index (TLI)                            0.902

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8522.977   -8522.977
  Loglikelihood unrestricted model (H1)      -8161.475   -8161.475
                                                                  
  Akaike (AIC)                               17167.955   17167.955
  Bayesian (BIC)                             17396.278   17396.278
  Sample-size adjusted Bayesian (BIC)        17202.807   17202.807

Root Mean Square Error of Approximation:

  RMSEA                                          0.075       0.058
  90 Percent confidence interval - lower         0.068       0.052
  90 Percent confidence interval - upper         0.081       0.064
  P-value RMSEA <= 0.05                          0.000       0.016
                                                                  
  Robust RMSEA                                               0.067
  90 Percent confidence interval - lower                     0.059
  90 Percent confidence interval - upper                     0.075

Standardized Root Mean Square Residual:

  SRMR                                           0.063       0.063

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_3              1.000                               0.629    0.743
    Q4_4    (lm44)    1.037    0.051   20.319    0.000    0.652    0.770
    Q4_5    (lm45)    1.049    0.077   13.662    0.000    0.660    0.758
    Q4_9    (lm49)    1.076    0.093   11.507    0.000    0.676    0.701
    Q4_11   (l411)    1.163    0.083   14.020    0.000    0.732    0.770
    Q4_15   (l415)    1.004    0.071   14.060    0.000    0.631    0.716
    Q4_18   (l418)    1.015    0.069   14.748    0.000    0.639    0.809
  SC =~                                                                 
    Q5_1              1.000                               0.636    0.669
    Q5_2    (lm52)    1.069    0.097   11.060    0.000    0.679    0.673
    Q5_3    (lm53)    1.121    0.097   11.600    0.000    0.712    0.685
    Q5_5    (lm55)    1.069    0.111    9.654    0.000    0.679    0.642
    Q5_6    (lm56)    1.045    0.099   10.588    0.000    0.664    0.721
    Q5_12   (l512)    1.012    0.093   10.824    0.000    0.643    0.636
  IN =~                                                                 
    Q6_2              1.000                               0.597    0.657
    Q6_5    (lm65)    0.925    0.122    7.583    0.000    0.552    0.503
    Q6_6    (lm66)    1.060    0.095   11.169    0.000    0.633    0.806
    Q6_7    (lm67)    1.250    0.122   10.277    0.000    0.746    0.852
    Q6_8    (lm68)    1.094    0.090   12.147    0.000    0.653    0.784
    Q6_11   (l611)    1.110    0.126    8.787    0.000    0.663    0.680
  EN =~                                                                 
    Q7_2              1.000                               0.682    0.770
    Q7_4    (lm74)    0.933    0.070   13.359    0.000    0.637    0.676
    Q7_5    (lm75)    1.072    0.076   14.177    0.000    0.732    0.777
    Q7_7    (lm77)    0.982    0.101    9.749    0.000    0.670    0.629
    Q7_8    (lm78)    1.027    0.078   13.158    0.000    0.701    0.749
    Q7_14   (l714)    0.873    0.102    8.520    0.000    0.596    0.572

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.277    0.047    5.871    0.000    0.694    0.694
    IN                0.284    0.048    5.938    0.000    0.756    0.756
    EN                0.319    0.047    6.797    0.000    0.744    0.744
  SC ~~                                                                 
    IN                0.254    0.046    5.502    0.000    0.670    0.670
    EN                0.357    0.048    7.382    0.000    0.824    0.824
  IN ~~                                                                 
    EN                0.321    0.051    6.352    0.000    0.789    0.789
 .Q4_3 ~~                                                               
   .Q4_4              0.117    0.024    4.895    0.000    0.117    0.381
 .Q5_5 ~~                                                               
   .Q5_6              0.152    0.042    3.653    0.000    0.152    0.293
 .Q5_2 ~~                                                               
   .Q5_6             -0.063    0.035   -1.805    0.071   -0.063   -0.132
 .Q6_2 ~~                                                               
   .Q6_8              0.097    0.036    2.654    0.008    0.097    0.273
 .Q7_7 ~~                                                               
   .Q7_8              0.136    0.045    3.040    0.002    0.136    0.264

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.396    0.062    6.400    0.000    1.000    1.000
    SC                0.404    0.063    6.444    0.000    1.000    1.000
    IN                0.356    0.073    4.906    0.000    1.000    1.000
    EN                0.466    0.065    7.217    0.000    1.000    1.000
   .Q4_3    (ps43)    0.321    0.034    9.370    0.000    0.321    0.448
   .Q4_4    (ps44)    0.292    0.025   11.714    0.000    0.292    0.407
   .Q4_5    (ps45)    0.321    0.042    7.703    0.000    0.321    0.425
   .Q4_9    (ps49)    0.474    0.048    9.855    0.000    0.474    0.509
   .Q4_11   (p411)    0.368    0.038    9.722    0.000    0.368    0.408
   .Q4_15   (p415)    0.380    0.040    9.395    0.000    0.380    0.488
   .Q4_18   (p418)    0.215    0.026    8.149    0.000    0.215    0.345
   .Q5_1    (ps51)    0.499    0.045   11.027    0.000    0.499    0.553
   .Q5_2    (ps52)    0.559    0.059    9.527    0.000    0.559    0.548
   .Q5_3    (ps53)    0.574    0.059    9.727    0.000    0.574    0.531
   .Q5_5    (ps55)    0.658    0.068    9.621    0.000    0.658    0.588
   .Q5_6    (ps56)    0.408    0.048    8.515    0.000    0.408    0.481
   .Q5_12   (p512)    0.609    0.064    9.570    0.000    0.609    0.595
   .Q6_2    (ps62)    0.469    0.056    8.358    0.000    0.469    0.568
   .Q6_5    (ps65)    0.901    0.085   10.586    0.000    0.901    0.747
   .Q6_6    (ps66)    0.217    0.027    8.131    0.000    0.217    0.351
   .Q6_7    (ps67)    0.210    0.030    6.938    0.000    0.210    0.274
   .Q6_8    (ps68)    0.268    0.036    7.459    0.000    0.268    0.386
   .Q6_11   (p611)    0.512    0.051   10.125    0.000    0.512    0.538
   .Q7_2    (ps72)    0.320    0.039    8.308    0.000    0.320    0.408
   .Q7_4    (ps74)    0.481    0.048    9.934    0.000    0.481    0.542
   .Q7_5    (ps75)    0.351    0.044    7.909    0.000    0.351    0.396
   .Q7_7    (ps77)    0.687    0.061   11.183    0.000    0.687    0.605
   .Q7_8    (ps78)    0.385    0.048    8.068    0.000    0.385    0.440
   .Q7_14   (p714)    0.731    0.061   11.909    0.000    0.731    0.673

Defined Parameters:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    rEL               0.765    0.019   40.264    0.000    0.607    0.593
    rSC               0.668    0.031   21.722    0.000    0.498    0.497
    rIN               0.730    0.029   24.853    0.000    0.548    0.564
    rEN               0.662    0.027   24.105    0.000    0.523    0.522

# export
parameterEstimates(fit3,standardized = T, output = "pretty")

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EL =~                                                                 
    Q4_3              1.000                               1.000    1.000
    Q4_4    (lm44)    1.037    0.051   20.319    0.000    0.937    1.137
    Q4_5    (lm45)    1.049    0.077   13.662    0.000    0.898    1.199
    Q4_9    (lm49)    1.076    0.093   11.507    0.000    0.892    1.259
    Q4_11   (l411)    1.163    0.083   14.020    0.000    1.001    1.326
    Q4_15   (l415)    1.004    0.071   14.060    0.000    0.864    1.144
    Q4_18   (l418)    1.015    0.069   14.748    0.000    0.880    1.150
  SC =~                                                                 
    Q5_1              1.000                               1.000    1.000
    Q5_2    (lm52)    1.069    0.097   11.060    0.000    0.880    1.258
    Q5_3    (lm53)    1.121    0.097   11.600    0.000    0.932    1.310
    Q5_5    (lm55)    1.069    0.111    9.654    0.000    0.852    1.286
    Q5_6    (lm56)    1.045    0.099   10.588    0.000    0.851    1.238
    Q5_12   (l512)    1.012    0.093   10.824    0.000    0.829    1.195
  IN =~                                                                 
    Q6_2              1.000                               1.000    1.000
    Q6_5    (lm65)    0.925    0.122    7.583    0.000    0.686    1.164
    Q6_6    (lm66)    1.060    0.095   11.169    0.000    0.874    1.246
    Q6_7    (lm67)    1.250    0.122   10.277    0.000    1.011    1.488
    Q6_8    (lm68)    1.094    0.090   12.147    0.000    0.918    1.271
    Q6_11   (l611)    1.110    0.126    8.787    0.000    0.863    1.358
  EN =~                                                                 
    Q7_2              1.000                               1.000    1.000
    Q7_4    (lm74)    0.933    0.070   13.359    0.000    0.796    1.070
    Q7_5    (lm75)    1.072    0.076   14.177    0.000    0.924    1.220
    Q7_7    (lm77)    0.982    0.101    9.749    0.000    0.785    1.180
    Q7_8    (lm78)    1.027    0.078   13.158    0.000    0.874    1.180
    Q7_14   (l714)    0.873    0.102    8.520    0.000    0.672    1.074
   Std.lv  Std.all
                  
    0.629    0.743
    0.652    0.770
    0.660    0.758
    0.676    0.701
    0.732    0.770
    0.631    0.716
    0.639    0.809
                  
    0.636    0.669
    0.679    0.673
    0.712    0.685
    0.679    0.642
    0.664    0.721
    0.643    0.636
                  
    0.597    0.657
    0.552    0.503
    0.633    0.806
    0.746    0.852
    0.653    0.784
    0.663    0.680
                  
    0.682    0.770
    0.637    0.676
    0.732    0.777
    0.670    0.629
    0.701    0.749
    0.596    0.572

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
  EL ~~                                                                 
    SC                0.277    0.047    5.871    0.000    0.185    0.370
    IN                0.284    0.048    5.938    0.000    0.190    0.378
    EN                0.319    0.047    6.797    0.000    0.227    0.412
  SC ~~                                                                 
    IN                0.254    0.046    5.502    0.000    0.164    0.345
    EN                0.357    0.048    7.382    0.000    0.262    0.452
  IN ~~                                                                 
    EN                0.321    0.051    6.352    0.000    0.222    0.421
 .Q4_3 ~~                                                               
   .Q4_4              0.117    0.024    4.895    0.000    0.070    0.163
 .Q5_5 ~~                                                               
   .Q5_6              0.152    0.042    3.653    0.000    0.070    0.234
 .Q5_2 ~~                                                               
   .Q5_6             -0.063    0.035   -1.805    0.071   -0.131    0.005
 .Q6_2 ~~                                                               
   .Q6_8              0.097    0.036    2.654    0.008    0.025    0.168
 .Q7_7 ~~                                                               
   .Q7_8              0.136    0.045    3.040    0.002    0.048    0.223
   Std.lv  Std.all
                  
    0.694    0.694
    0.756    0.756
    0.744    0.744
                  
    0.670    0.670
    0.824    0.824
                  
    0.789    0.789
                  
    0.117    0.381
                  
    0.152    0.293
                  
   -0.063   -0.132
                  
    0.097    0.273
                  
    0.136    0.264

Variances:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
    EL                0.396    0.062    6.400    0.000    0.274    0.517
    SC                0.404    0.063    6.444    0.000    0.281    0.527
    IN                0.356    0.073    4.906    0.000    0.214    0.499
    EN                0.466    0.065    7.217    0.000    0.339    0.592
   .Q4_3    (ps43)    0.321    0.034    9.370    0.000    0.254    0.388
   .Q4_4    (ps44)    0.292    0.025   11.714    0.000    0.243    0.341
   .Q4_5    (ps45)    0.321    0.042    7.703    0.000    0.239    0.403
   .Q4_9    (ps49)    0.474    0.048    9.855    0.000    0.379    0.568
   .Q4_11   (p411)    0.368    0.038    9.722    0.000    0.294    0.442
   .Q4_15   (p415)    0.380    0.040    9.395    0.000    0.300    0.459
   .Q4_18   (p418)    0.215    0.026    8.149    0.000    0.163    0.267
   .Q5_1    (ps51)    0.499    0.045   11.027    0.000    0.410    0.588
   .Q5_2    (ps52)    0.559    0.059    9.527    0.000    0.444    0.674
   .Q5_3    (ps53)    0.574    0.059    9.727    0.000    0.458    0.689
   .Q5_5    (ps55)    0.658    0.068    9.621    0.000    0.524    0.792
   .Q5_6    (ps56)    0.408    0.048    8.515    0.000    0.314    0.502
   .Q5_12   (p512)    0.609    0.064    9.570    0.000    0.484    0.734
   .Q6_2    (ps62)    0.469    0.056    8.358    0.000    0.359    0.578
   .Q6_5    (ps65)    0.901    0.085   10.586    0.000    0.734    1.068
   .Q6_6    (ps66)    0.217    0.027    8.131    0.000    0.164    0.269
   .Q6_7    (ps67)    0.210    0.030    6.938    0.000    0.150    0.269
   .Q6_8    (ps68)    0.268    0.036    7.459    0.000    0.197    0.338
   .Q6_11   (p611)    0.512    0.051   10.125    0.000    0.413    0.611
   .Q7_2    (ps72)    0.320    0.039    8.308    0.000    0.245    0.396
   .Q7_4    (ps74)    0.481    0.048    9.934    0.000    0.386    0.576
   .Q7_5    (ps75)    0.351    0.044    7.909    0.000    0.264    0.439
   .Q7_7    (ps77)    0.687    0.061   11.183    0.000    0.567    0.807
   .Q7_8    (ps78)    0.385    0.048    8.068    0.000    0.291    0.478
   .Q7_14   (p714)    0.731    0.061   11.909    0.000    0.611    0.851
   Std.lv  Std.all
    1.000    1.000
    1.000    1.000
    1.000    1.000
    1.000    1.000
    0.321    0.448
    0.292    0.407
    0.321    0.425
    0.474    0.509
    0.368    0.408
    0.380    0.488
    0.215    0.345
    0.499    0.553
    0.559    0.548
    0.574    0.531
    0.658    0.588
    0.408    0.481
    0.609    0.595
    0.469    0.568
    0.901    0.747
    0.217    0.351
    0.210    0.274
    0.268    0.386
    0.512    0.538
    0.320    0.408
    0.481    0.542
    0.351    0.396
    0.687    0.605
    0.385    0.440
    0.731    0.673

Defined Parameters:
                   Estimate  Std.Err  z-value  P(>|z|) ci.lower ci.upper
    rEL               0.765    0.019   40.264    0.000    0.728    0.802
    rSC               0.668    0.031   21.722    0.000    0.608    0.728
    rIN               0.730    0.029   24.853    0.000    0.673    0.788
    rEN               0.662    0.027   24.105    0.000    0.609    0.716
   Std.lv  Std.all
    0.607    0.593
    0.498    0.497
    0.548    0.564
    0.523    0.522

#a <- parameterEstimates(fit3,standardized = T, output = "text")
#write.csv(
#  a, "output/cfa_results.csv"
#)

Best fitting model

The following model was were used to obtain a “best” fitting model even if it is un-interpretable. Basic, the goal was to find a model that got the \(\chi^2\) to be no-significant.

# final model (reported in manuscript)
mod4 <- "
EL =~ Q4_3 + Q4_4 + Q4_5 + Q4_9 + Q4_11 + Q4_15 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_5 + Q5_6 + Q5_12
IN =~ Q6_2 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_14

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN

Q4_3 ~~ Q4_4
Q5_5 + Q5_2 ~~ Q5_6
Q6_2 ~~ Q6_8
Q7_7 ~~ Q7_8
"
fit4 <- lavaan::cfa(mod4, data=mydata, estimator = "MLM")
summary(fit4, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 62 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         61
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               723.005     540.595
  Degrees of freedom                               264         264
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.337
       Satorra-Bentler correction                                 

Model Test Baseline Model:

  Test statistic                              4736.187    3156.822
  Degrees of freedom                               300         300
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.500

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.897       0.903
  Tucker-Lewis Index (TLI)                       0.882       0.890
                                                                  
  Robust Comparative Fit Index (CFI)                         0.914
  Robust Tucker-Lewis Index (TLI)                            0.902

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8522.977   -8522.977
  Loglikelihood unrestricted model (H1)      -8161.475   -8161.475
                                                                  
  Akaike (AIC)                               17167.955   17167.955
  Bayesian (BIC)                             17396.278   17396.278
  Sample-size adjusted Bayesian (BIC)        17202.807   17202.807

Root Mean Square Error of Approximation:

  RMSEA                                          0.075       0.058
  90 Percent confidence interval - lower         0.068       0.052
  90 Percent confidence interval - upper         0.081       0.064
  P-value RMSEA <= 0.05                          0.000       0.016
                                                                  
  Robust RMSEA                                               0.067
  90 Percent confidence interval - lower                     0.059
  90 Percent confidence interval - upper                     0.075

Standardized Root Mean Square Residual:

  SRMR                                           0.063       0.063

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_3              1.000                               0.629    0.743
    Q4_4              1.037    0.051   20.319    0.000    0.652    0.770
    Q4_5              1.049    0.077   13.662    0.000    0.660    0.758
    Q4_9              1.076    0.093   11.507    0.000    0.676    0.701
    Q4_11             1.163    0.083   14.020    0.000    0.732    0.770
    Q4_15             1.004    0.071   14.060    0.000    0.631    0.716
    Q4_18             1.015    0.069   14.748    0.000    0.639    0.809
  SC =~                                                                 
    Q5_1              1.000                               0.636    0.669
    Q5_2              1.069    0.097   11.060    0.000    0.679    0.673
    Q5_3              1.121    0.097   11.600    0.000    0.712    0.685
    Q5_5              1.069    0.111    9.654    0.000    0.679    0.642
    Q5_6              1.045    0.099   10.588    0.000    0.664    0.721
    Q5_12             1.012    0.093   10.824    0.000    0.643    0.636
  IN =~                                                                 
    Q6_2              1.000                               0.597    0.657
    Q6_5              0.925    0.122    7.583    0.000    0.552    0.503
    Q6_6              1.060    0.095   11.169    0.000    0.633    0.806
    Q6_7              1.250    0.122   10.277    0.000    0.746    0.852
    Q6_8              1.094    0.090   12.147    0.000    0.653    0.784
    Q6_11             1.110    0.126    8.787    0.000    0.663    0.680
  EN =~                                                                 
    Q7_2              1.000                               0.682    0.770
    Q7_4              0.933    0.070   13.359    0.000    0.637    0.676
    Q7_5              1.072    0.076   14.177    0.000    0.732    0.777
    Q7_7              0.982    0.101    9.749    0.000    0.670    0.629
    Q7_8              1.027    0.078   13.158    0.000    0.701    0.749
    Q7_14             0.873    0.102    8.520    0.000    0.596    0.572

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.277    0.047    5.871    0.000    0.694    0.694
    IN                0.284    0.048    5.938    0.000    0.756    0.756
    EN                0.319    0.047    6.797    0.000    0.744    0.744
  SC ~~                                                                 
    IN                0.254    0.046    5.502    0.000    0.670    0.670
    EN                0.357    0.048    7.382    0.000    0.824    0.824
  IN ~~                                                                 
    EN                0.321    0.051    6.352    0.000    0.789    0.789
 .Q4_3 ~~                                                               
   .Q4_4              0.117    0.024    4.895    0.000    0.117    0.381
 .Q5_5 ~~                                                               
   .Q5_6              0.152    0.042    3.653    0.000    0.152    0.293
 .Q5_2 ~~                                                               
   .Q5_6             -0.063    0.035   -1.805    0.071   -0.063   -0.132
 .Q6_2 ~~                                                               
   .Q6_8              0.097    0.036    2.654    0.008    0.097    0.273
 .Q7_7 ~~                                                               
   .Q7_8              0.136    0.045    3.040    0.002    0.136    0.264

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.396    0.062    6.400    0.000    1.000    1.000
    SC                0.404    0.063    6.444    0.000    1.000    1.000
    IN                0.356    0.073    4.906    0.000    1.000    1.000
    EN                0.466    0.065    7.217    0.000    1.000    1.000
   .Q4_3              0.321    0.034    9.370    0.000    0.321    0.448
   .Q4_4              0.292    0.025   11.714    0.000    0.292    0.407
   .Q4_5              0.321    0.042    7.703    0.000    0.321    0.425
   .Q4_9              0.474    0.048    9.855    0.000    0.474    0.509
   .Q4_11             0.368    0.038    9.722    0.000    0.368    0.408
   .Q4_15             0.380    0.040    9.395    0.000    0.380    0.488
   .Q4_18             0.215    0.026    8.149    0.000    0.215    0.345
   .Q5_1              0.499    0.045   11.027    0.000    0.499    0.553
   .Q5_2              0.559    0.059    9.527    0.000    0.559    0.548
   .Q5_3              0.574    0.059    9.727    0.000    0.574    0.531
   .Q5_5              0.658    0.068    9.621    0.000    0.658    0.588
   .Q5_6              0.408    0.048    8.515    0.000    0.408    0.481
   .Q5_12             0.609    0.064    9.570    0.000    0.609    0.595
   .Q6_2              0.469    0.056    8.358    0.000    0.469    0.568
   .Q6_5              0.901    0.085   10.586    0.000    0.901    0.747
   .Q6_6              0.217    0.027    8.131    0.000    0.217    0.351
   .Q6_7              0.210    0.030    6.938    0.000    0.210    0.274
   .Q6_8              0.268    0.036    7.459    0.000    0.268    0.386
   .Q6_11             0.512    0.051   10.125    0.000    0.512    0.538
   .Q7_2              0.320    0.039    8.308    0.000    0.320    0.408
   .Q7_4              0.481    0.048    9.934    0.000    0.481    0.542
   .Q7_5              0.351    0.044    7.909    0.000    0.351    0.396
   .Q7_7              0.687    0.061   11.183    0.000    0.687    0.605
   .Q7_8              0.385    0.048    8.068    0.000    0.385    0.440
   .Q7_14             0.731    0.061   11.909    0.000    0.731    0.673

# Residual Analysis
out <- residuals(fit4, type="cor.bollen")
kable(out[[2]], format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	Q4_3	Q4_4	Q4_5	Q4_9	Q4_11	Q4_15	Q4_18	Q5_1	Q5_2	Q5_3	Q5_5	Q5_6	Q5_12	Q6_2	Q6_5	Q6_6	Q6_7	Q6_8	Q6_11	Q7_2	Q7_4	Q7_5	Q7_7	Q7_8	Q7_14
Q4_3	0.000	0.000	-0.010	-0.074	-0.003	0.023	0.056	0.101	-0.103	-0.014	-0.071	-0.051	0.033	0.004	-0.009	0.003	-0.056	-0.015	0.127	-0.011	0.016	-0.095	-0.026	-0.018	0.024
Q4_4	0.000	0.000	0.018	-0.050	0.026	-0.035	0.017	0.006	-0.116	-0.041	-0.030	0.026	0.021	0.016	-0.022	-0.011	-0.066	-0.054	0.160	0.059	0.084	-0.009	0.014	0.067	0.019
Q4_5	-0.010	0.018	0.000	0.009	0.003	0.006	-0.003	0.042	-0.087	0.031	-0.097	0.020	0.019	0.047	-0.020	-0.040	-0.012	-0.055	0.078	0.015	-0.051	-0.061	-0.005	0.023	-0.019
Q4_9	-0.074	-0.050	0.009	0.000	0.021	0.036	0.006	0.099	-0.018	0.012	-0.025	-0.005	0.124	0.023	0.039	-0.070	0.000	-0.073	0.059	0.135	-0.009	0.002	-0.016	0.063	0.008
Q4_11	-0.003	0.026	0.003	0.021	0.000	-0.069	-0.046	0.128	-0.048	0.009	-0.063	-0.020	0.094	0.012	0.075	0.000	0.048	0.046	0.117	0.094	0.039	0.131	0.094	0.118	0.004
Q4_15	0.023	-0.035	0.006	0.036	-0.069	0.000	0.050	0.091	-0.011	0.056	-0.012	-0.019	0.148	0.024	0.039	-0.067	0.015	-0.041	0.092	-0.072	-0.084	-0.083	-0.073	-0.061	0.073
Q4_18	0.056	0.017	-0.003	0.006	-0.046	0.050	0.000	0.021	-0.062	-0.064	-0.103	-0.034	0.060	-0.008	0.023	-0.050	0.009	-0.023	0.045	-0.027	-0.017	-0.069	-0.138	-0.073	-0.065
Q5_1	0.101	0.006	0.042	0.099	0.128	0.091	0.021	0.000	0.070	0.015	-0.060	-0.080	-0.052	0.050	-0.014	0.021	0.014	0.041	0.142	0.013	-0.006	0.053	0.030	-0.014	0.022
Q5_2	-0.103	-0.116	-0.087	-0.018	-0.048	-0.011	-0.062	0.070	0.000	0.081	0.051	0.014	-0.069	0.010	-0.036	-0.021	-0.096	-0.037	0.104	0.008	-0.084	-0.099	-0.050	-0.162	0.080
Q5_3	-0.014	-0.041	0.031	0.012	0.009	0.056	-0.064	0.015	0.081	0.000	0.033	0.035	-0.079	0.023	0.052	-0.112	-0.077	-0.084	0.050	-0.051	-0.098	-0.046	-0.034	-0.085	0.021
Q5_5	-0.071	-0.030	-0.097	-0.025	-0.063	-0.012	-0.103	-0.060	0.051	0.033	0.000	-0.005	-0.008	-0.067	-0.018	-0.120	-0.113	-0.085	0.114	0.040	-0.019	-0.021	0.091	-0.029	0.218
Q5_6	-0.051	0.026	0.020	-0.005	-0.020	-0.019	-0.034	-0.080	0.014	0.035	-0.005	0.000	0.016	-0.014	0.025	-0.028	-0.056	-0.064	0.152	-0.011	0.027	-0.003	0.038	0.071	0.060
Q5_12	0.033	0.021	0.019	0.124	0.094	0.148	0.060	-0.052	-0.069	-0.079	-0.008	0.016	0.000	0.096	0.114	0.076	0.183	0.078	0.205	0.060	0.056	0.061	0.089	0.108	0.124
Q6_2	0.004	0.016	0.047	0.023	0.012	0.024	-0.008	0.050	0.010	0.023	-0.067	-0.014	0.096	0.000	-0.024	0.021	0.002	0.000	-0.011	-0.017	0.050	-0.039	-0.081	-0.092	-0.062
Q6_5	-0.009	-0.022	-0.020	0.039	0.075	0.039	0.023	-0.014	-0.036	0.052	-0.018	0.025	0.114	-0.024	0.000	-0.003	0.033	-0.043	0.011	-0.072	-0.042	-0.038	-0.017	0.011	-0.012
Q6_6	0.003	-0.011	-0.040	-0.070	0.000	-0.067	-0.050	0.021	-0.021	-0.112	-0.120	-0.028	0.076	0.021	-0.003	0.000	0.028	0.014	-0.028	0.039	-0.041	-0.005	-0.115	-0.056	-0.058
Q6_7	-0.056	-0.066	-0.012	0.000	0.048	0.015	0.009	0.014	-0.096	-0.077	-0.113	-0.056	0.183	0.002	0.033	0.028	0.000	0.029	-0.069	-0.008	-0.041	0.012	-0.106	-0.036	-0.056
Q6_8	-0.015	-0.054	-0.055	-0.073	0.046	-0.041	-0.023	0.041	-0.037	-0.084	-0.085	-0.064	0.078	0.000	-0.043	0.014	0.029	0.000	-0.048	0.036	0.069	0.052	-0.098	-0.028	-0.073
Q6_11	0.127	0.160	0.078	0.059	0.117	0.092	0.045	0.142	0.104	0.050	0.114	0.152	0.205	-0.011	0.011	-0.028	-0.069	-0.048	0.000	0.142	0.147	0.083	0.171	0.136	0.199
Q7_2	-0.011	0.059	0.015	0.135	0.094	-0.072	-0.027	0.013	0.008	-0.051	0.040	-0.011	0.060	-0.017	-0.072	0.039	-0.008	0.036	0.142	0.000	0.018	-0.024	-0.004	-0.002	-0.053
Q7_4	0.016	0.084	-0.051	-0.009	0.039	-0.084	-0.017	-0.006	-0.084	-0.098	-0.019	0.027	0.056	0.050	-0.042	-0.041	-0.041	0.069	0.147	0.018	0.000	0.037	0.006	-0.017	-0.058
Q7_5	-0.095	-0.009	-0.061	0.002	0.131	-0.083	-0.069	0.053	-0.099	-0.046	-0.021	-0.003	0.061	-0.039	-0.038	-0.005	0.012	0.052	0.083	-0.024	0.037	0.000	-0.006	0.035	-0.031
Q7_7	-0.026	0.014	-0.005	-0.016	0.094	-0.073	-0.138	0.030	-0.050	-0.034	0.091	0.038	0.089	-0.081	-0.017	-0.115	-0.106	-0.098	0.171	-0.004	0.006	-0.006	0.000	0.000	0.121
Q7_8	-0.018	0.067	0.023	0.063	0.118	-0.061	-0.073	-0.014	-0.162	-0.085	-0.029	0.071	0.108	-0.092	0.011	-0.056	-0.036	-0.028	0.136	-0.002	-0.017	0.035	0.000	0.000	0.021
Q7_14	0.024	0.019	-0.019	0.008	0.004	0.073	-0.065	0.022	0.080	0.021	0.218	0.060	0.124	-0.062	-0.012	-0.058	-0.056	-0.073	0.199	-0.053	-0.058	-0.031	0.121	0.021	0.000

ggcorrplot(out[[2]], type = "lower")

# modification indices
kable(modindices(fit4, sort = TRUE), format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	lhs	op	rhs	mi	epc	sepc.lv	sepc.all	sepc.nox
140	EN	=~	Q6_11	62.613	1.054	0.719	0.737	0.737
96	SC	=~	Q6_11	46.845	0.766	0.487	0.499	0.499
115	IN	=~	Q5_12	34.076	0.766	0.457	0.452	0.452
134	EN	=~	Q5_12	31.555	1.014	0.692	0.684	0.684
77	EL	=~	Q6_11	27.232	0.670	0.421	0.432	0.432
346	Q5_5	~~	Q7_14	26.836	0.203	0.203	0.293	0.293
126	EN	=~	Q4_11	23.898	0.505	0.345	0.363	0.363
363	Q5_12	~~	Q6_7	18.460	0.106	0.106	0.297	0.297
402	Q6_7	~~	Q6_11	18.111	-0.106	-0.106	-0.323	-0.323
246	Q4_11	~~	Q7_5	17.758	0.101	0.101	0.280	0.280
421	Q6_11	~~	Q7_14	17.062	0.154	0.154	0.251	0.251
130	EN	=~	Q5_2	16.928	-0.773	-0.528	-0.522	-0.522
317	Q5_2	~~	Q7_8	14.638	-0.110	-0.110	-0.237	-0.237
224	Q4_9	~~	Q7_2	14.339	0.095	0.095	0.244	0.244
71	EL	=~	Q5_12	14.272	0.484	0.305	0.301	0.301
102	SC	=~	Q7_14	14.247	0.753	0.478	0.459	0.459
419	Q6_11	~~	Q7_7	14.057	0.129	0.129	0.217	0.217
131	EN	=~	Q5_3	13.703	-0.681	-0.465	-0.447	-0.447
128	EN	=~	Q4_18	12.829	-0.295	-0.201	-0.255	-0.255
304	Q5_2	~~	Q5_3	12.741	0.143	0.143	0.253	0.253
434	Q7_7	~~	Q7_14	12.192	0.143	0.143	0.202	0.202
146	Q4_3	~~	Q5_1	10.775	0.075	0.075	0.186	0.186
67	EL	=~	Q5_2	10.607	-0.425	-0.267	-0.264	-0.264
230	Q4_11	~~	Q4_15	10.394	-0.080	-0.080	-0.215	-0.215
268	Q4_15	~~	Q7_14	10.371	0.104	0.104	0.197	0.197
66	EL	=~	Q5_1	10.316	0.381	0.240	0.252	0.252
358	Q5_6	~~	Q7_8	9.934	0.073	0.073	0.184	0.184
107	IN	=~	Q4_11	9.554	0.370	0.221	0.232	0.232
321	Q5_3	~~	Q5_12	8.512	-0.115	-0.115	-0.195	-0.195
119	IN	=~	Q7_7	8.429	-0.475	-0.284	-0.266	-0.266
284	Q4_18	~~	Q7_7	8.387	-0.068	-0.068	-0.176	-0.176
344	Q5_5	~~	Q7_7	8.208	0.104	0.104	0.155	0.155
145	Q4_3	~~	Q4_18	8.051	0.046	0.046	0.176	0.176
231	Q4_11	~~	Q4_18	7.766	-0.057	-0.057	-0.202	-0.202
169	Q4_4	~~	Q5_1	7.755	-0.061	-0.061	-0.160	-0.160
180	Q4_4	~~	Q6_11	7.733	0.061	0.061	0.157	0.157
263	Q4_15	~~	Q7_2	7.497	-0.062	-0.062	-0.177	-0.177
160	Q4_3	~~	Q7_5	7.253	-0.053	-0.053	-0.157	-0.157
113	IN	=~	Q5_5	7.173	-0.335	-0.200	-0.189	-0.189
138	EN	=~	Q6_7	7.033	-0.283	-0.193	-0.220	-0.220
250	Q4_15	~~	Q4_18	6.914	0.052	0.052	0.182	0.182
112	IN	=~	Q5_3	6.874	-0.346	-0.207	-0.199	-0.199
178	Q4_4	~~	Q6_7	6.836	-0.041	-0.041	-0.165	-0.165
69	EL	=~	Q5_5	6.824	-0.319	-0.201	-0.190	-0.190
412	Q6_8	~~	Q7_5	6.691	0.050	0.050	0.164	0.164
392	Q6_6	~~	Q6_7	6.677	0.050	0.050	0.234	0.234
290	Q5_1	~~	Q5_6	6.377	-0.076	-0.076	-0.169	-0.169
74	EL	=~	Q6_6	6.350	-0.235	-0.148	-0.188	-0.188
306	Q5_2	~~	Q5_12	6.301	-0.100	-0.100	-0.172	-0.172
182	Q4_4	~~	Q7_4	6.175	0.053	0.053	0.141	0.141
256	Q4_15	~~	Q5_12	5.993	0.073	0.073	0.153	0.153
287	Q5_1	~~	Q5_2	5.976	0.090	0.090	0.171	0.171
386	Q6_5	~~	Q7_2	5.845	-0.081	-0.081	-0.151	-0.151
90	SC	=~	Q4_18	5.716	-0.193	-0.123	-0.156	-0.156
142	Q4_3	~~	Q4_9	5.697	-0.054	-0.054	-0.137	-0.137
345	Q5_5	~~	Q7_8	5.379	-0.065	-0.065	-0.130	-0.130
401	Q6_7	~~	Q6_8	5.315	0.043	0.043	0.180	0.180
395	Q6_6	~~	Q7_2	5.266	0.041	0.041	0.157	0.157
380	Q6_2	~~	Q7_8	5.230	-0.054	-0.054	-0.128	-0.128
94	SC	=~	Q6_7	5.147	-0.198	-0.126	-0.144	-0.144
310	Q5_2	~~	Q6_7	5.046	-0.054	-0.054	-0.159	-0.159
222	Q4_9	~~	Q6_8	4.946	-0.048	-0.048	-0.134	-0.134
322	Q5_3	~~	Q6_2	4.874	0.067	0.067	0.130	0.130
323	Q5_3	~~	Q6_5	4.807	0.097	0.097	0.134	0.134
137	EN	=~	Q6_6	4.718	-0.212	-0.145	-0.184	-0.184
411	Q6_8	~~	Q7_4	4.577	0.047	0.047	0.130	0.130
409	Q6_8	~~	Q6_11	4.485	-0.049	-0.049	-0.133	-0.133
127	EN	=~	Q4_15	4.437	-0.213	-0.146	-0.165	-0.165
123	EN	=~	Q4_4	4.426	0.170	0.116	0.137	0.137
197	Q4_5	~~	Q6_2	4.386	0.048	0.048	0.124	0.124
315	Q5_2	~~	Q7_5	4.372	-0.062	-0.062	-0.140	-0.140
195	Q4_5	~~	Q5_6	4.300	0.046	0.046	0.127	0.127
167	Q4_4	~~	Q4_15	4.288	-0.041	-0.041	-0.122	-0.122
193	Q4_5	~~	Q5_3	4.266	0.057	0.057	0.133	0.133
426	Q7_2	~~	Q7_14	4.204	-0.065	-0.065	-0.134	-0.134
88	SC	=~	Q4_11	4.180	0.208	0.132	0.139	0.139
93	SC	=~	Q6_6	4.142	-0.165	-0.105	-0.133	-0.133
173	Q4_4	~~	Q5_6	4.126	0.038	0.038	0.111	0.111
122	EN	=~	Q4_3	4.079	-0.168	-0.115	-0.136	-0.136
111	IN	=~	Q5_2	4.051	-0.268	-0.160	-0.159	-0.159
309	Q5_2	~~	Q6_6	4.047	0.047	0.047	0.135	0.135
318	Q5_2	~~	Q7_14	4.032	0.080	0.080	0.125	0.125
337	Q5_5	~~	Q6_6	4.016	-0.046	-0.046	-0.122	-0.122
247	Q4_11	~~	Q7_7	4.015	0.060	0.060	0.119	0.119
110	IN	=~	Q5_1	4.005	0.243	0.145	0.153	0.153
76	EL	=~	Q6_8	3.982	-0.185	-0.116	-0.140	-0.140
432	Q7_5	~~	Q7_8	3.972	0.050	0.050	0.135	0.135
278	Q4_18	~~	Q6_7	3.871	0.030	0.030	0.143	0.143
264	Q4_15	~~	Q7_4	3.806	-0.052	-0.052	-0.122	-0.122
232	Q4_11	~~	Q5_1	3.791	0.054	0.054	0.125	0.125
194	Q4_5	~~	Q5_5	3.786	-0.053	-0.053	-0.114	-0.114
253	Q4_15	~~	Q5_3	3.750	0.057	0.057	0.123	0.123
324	Q5_3	~~	Q6_6	3.746	-0.046	-0.046	-0.129	-0.129
313	Q5_2	~~	Q7_2	3.713	0.054	0.054	0.128	0.128
370	Q5_12	~~	Q7_8	3.686	0.056	0.056	0.116	0.116
305	Q5_2	~~	Q5_5	3.672	0.080	0.080	0.132	0.132
406	Q6_7	~~	Q7_7	3.574	-0.046	-0.046	-0.122	-0.122
150	Q4_3	~~	Q5_6	3.552	-0.037	-0.037	-0.102	-0.102
185	Q4_4	~~	Q7_8	3.540	0.035	0.035	0.103	0.103
125	EN	=~	Q4_9	3.519	0.211	0.144	0.149	0.149
415	Q6_8	~~	Q7_14	3.506	-0.049	-0.049	-0.111	-0.111
430	Q7_4	~~	Q7_14	3.484	-0.069	-0.069	-0.116	-0.116
300	Q5_1	~~	Q7_5	3.477	0.052	0.052	0.123	0.123
291	Q5_1	~~	Q5_12	3.450	-0.068	-0.068	-0.123	-0.123
413	Q6_8	~~	Q7_7	3.389	-0.045	-0.045	-0.104	-0.104
378	Q6_2	~~	Q7_5	3.331	-0.045	-0.045	-0.110	-0.110
398	Q6_6	~~	Q7_7	3.282	-0.043	-0.043	-0.111	-0.111
238	Q4_11	~~	Q6_2	3.261	-0.044	-0.044	-0.107	-0.107
116	IN	=~	Q7_2	3.216	0.239	0.143	0.161	0.161
242	Q4_11	~~	Q6_8	3.208	0.035	0.035	0.111	0.111
179	Q4_4	~~	Q6_8	3.181	-0.028	-0.028	-0.099	-0.099
329	Q5_3	~~	Q7_4	3.149	-0.059	-0.059	-0.113	-0.113
418	Q6_11	~~	Q7_5	3.020	-0.048	-0.048	-0.112	-0.112
78	EL	=~	Q7_2	2.962	0.191	0.120	0.135	0.135
427	Q7_4	~~	Q7_5	2.961	0.049	0.049	0.119	0.119
201	Q4_5	~~	Q6_8	2.945	-0.031	-0.031	-0.106	-0.106
220	Q4_9	~~	Q6_6	2.911	-0.036	-0.036	-0.112	-0.112
249	Q4_11	~~	Q7_14	2.895	-0.055	-0.055	-0.106	-0.106
87	SC	=~	Q4_9	2.887	0.188	0.120	0.124	0.124
129	EN	=~	Q5_1	2.867	0.285	0.195	0.205	0.205
101	SC	=~	Q7_8	2.830	-0.250	-0.159	-0.170	-0.170
320	Q5_3	~~	Q5_6	2.783	0.055	0.055	0.113	0.113
196	Q4_5	~~	Q5_12	2.781	-0.047	-0.047	-0.106	-0.106
144	Q4_3	~~	Q4_15	2.760	0.034	0.034	0.096	0.096
404	Q6_7	~~	Q7_4	2.684	-0.036	-0.036	-0.113	-0.113
341	Q5_5	~~	Q7_2	2.672	0.045	0.045	0.098	0.098
259	Q4_15	~~	Q6_6	2.649	-0.031	-0.031	-0.107	-0.107
260	Q4_15	~~	Q6_7	2.599	0.031	0.031	0.112	0.112
265	Q4_15	~~	Q7_5	2.529	-0.038	-0.038	-0.103	-0.103
383	Q6_5	~~	Q6_7	2.480	0.048	0.048	0.110	0.110
405	Q6_7	~~	Q7_5	2.463	0.031	0.031	0.114	0.114
280	Q4_18	~~	Q6_11	2.462	-0.034	-0.034	-0.102	-0.102
81	EL	=~	Q7_7	2.445	-0.213	-0.134	-0.126	-0.126
236	Q4_11	~~	Q5_6	2.397	-0.037	-0.037	-0.095	-0.095
170	Q4_4	~~	Q5_2	2.344	-0.036	-0.036	-0.089	-0.089
352	Q5_6	~~	Q6_8	2.332	-0.030	-0.030	-0.089	-0.089
326	Q5_3	~~	Q6_8	2.322	-0.037	-0.037	-0.094	-0.094
340	Q5_5	~~	Q6_11	2.305	0.051	0.051	0.087	0.087
205	Q4_5	~~	Q7_5	2.303	-0.034	-0.034	-0.100	-0.100
417	Q6_11	~~	Q7_4	2.300	0.047	0.047	0.094	0.094
155	Q4_3	~~	Q6_7	2.193	-0.024	-0.024	-0.092	-0.092
354	Q5_6	~~	Q7_2	2.187	-0.034	-0.034	-0.093	-0.093
154	Q4_3	~~	Q6_6	2.169	0.023	0.023	0.087	0.087
248	Q4_11	~~	Q7_8	2.127	0.034	0.034	0.090	0.090
95	SC	=~	Q6_8	2.122	-0.117	-0.075	-0.089	-0.089
204	Q4_5	~~	Q7_4	2.119	-0.036	-0.036	-0.092	-0.092
166	Q4_4	~~	Q4_11	2.101	0.029	0.029	0.088	0.088
210	Q4_9	~~	Q4_15	2.048	0.039	0.039	0.092	0.092
377	Q6_2	~~	Q7_4	2.044	0.039	0.039	0.083	0.083
423	Q7_2	~~	Q7_5	2.035	-0.036	-0.036	-0.107	-0.107
384	Q6_5	~~	Q6_8	2.027	-0.042	-0.042	-0.085	-0.085
267	Q4_15	~~	Q7_8	1.988	-0.033	-0.033	-0.085	-0.085
174	Q4_4	~~	Q5_12	1.983	-0.034	-0.034	-0.080	-0.080
98	SC	=~	Q7_4	1.934	-0.236	-0.150	-0.159	-0.159
286	Q4_18	~~	Q7_14	1.909	-0.035	-0.035	-0.088	-0.088
394	Q6_6	~~	Q6_11	1.908	-0.032	-0.032	-0.096	-0.096
80	EL	=~	Q7_5	1.889	-0.161	-0.101	-0.108	-0.108
163	Q4_3	~~	Q7_14	1.864	0.036	0.036	0.075	0.075
293	Q5_1	~~	Q6_5	1.859	-0.056	-0.056	-0.083	-0.083
396	Q6_6	~~	Q7_4	1.808	-0.029	-0.029	-0.088	-0.088
289	Q5_1	~~	Q5_5	1.766	-0.047	-0.047	-0.081	-0.081
332	Q5_3	~~	Q7_8	1.753	-0.038	-0.038	-0.081	-0.081
135	EN	=~	Q6_2	1.700	-0.154	-0.105	-0.116	-0.116
217	Q4_9	~~	Q5_12	1.696	0.043	0.043	0.081	0.081
255	Q4_15	~~	Q5_6	1.693	-0.031	-0.031	-0.078	-0.078
285	Q4_18	~~	Q7_8	1.688	-0.024	-0.024	-0.082	-0.082
353	Q5_6	~~	Q6_11	1.680	0.035	0.035	0.078	0.078
228	Q4_9	~~	Q7_8	1.648	0.033	0.033	0.077	0.077
100	SC	=~	Q7_7	1.628	0.236	0.150	0.141	0.141
355	Q5_6	~~	Q7_4	1.600	0.034	0.034	0.076	0.076
156	Q4_3	~~	Q6_8	1.596	0.020	0.020	0.069	0.069
338	Q5_5	~~	Q6_7	1.586	-0.030	-0.030	-0.081	-0.081
350	Q5_6	~~	Q6_6	1.579	0.024	0.024	0.080	0.080
359	Q5_6	~~	Q7_14	1.563	-0.040	-0.040	-0.074	-0.074
433	Q7_5	~~	Q7_14	1.494	-0.041	-0.041	-0.081	-0.081
271	Q4_18	~~	Q5_3	1.483	-0.028	-0.028	-0.081	-0.081
218	Q4_9	~~	Q6_2	1.469	0.033	0.033	0.070	0.070
225	Q4_9	~~	Q7_4	1.389	-0.035	-0.035	-0.073	-0.073
303	Q5_1	~~	Q7_14	1.380	-0.044	-0.044	-0.072	-0.072
270	Q4_18	~~	Q5_2	1.379	0.027	0.027	0.078	0.078
171	Q4_4	~~	Q5_3	1.371	-0.028	-0.028	-0.068	-0.068
351	Q5_6	~~	Q6_7	1.347	-0.023	-0.023	-0.077	-0.077
72	EL	=~	Q6_2	1.333	0.131	0.083	0.091	0.091
239	Q4_11	~~	Q6_5	1.332	0.041	0.041	0.071	0.071
282	Q4_18	~~	Q7_4	1.315	0.024	0.024	0.075	0.075
164	Q4_4	~~	Q4_5	1.273	0.021	0.021	0.068	0.068
254	Q4_15	~~	Q5_5	1.265	0.033	0.033	0.065	0.065
162	Q4_3	~~	Q7_8	1.254	-0.021	-0.021	-0.061	-0.061
99	SC	=~	Q7_5	1.249	-0.179	-0.114	-0.121	-0.121
181	Q4_4	~~	Q7_2	1.220	0.020	0.020	0.065	0.065
89	SC	=~	Q4_15	1.206	0.110	0.070	0.079	0.079
312	Q5_2	~~	Q6_11	1.205	0.037	0.037	0.069	0.069
233	Q4_11	~~	Q5_2	1.200	-0.032	-0.032	-0.071	-0.071
121	IN	=~	Q7_14	1.174	-0.191	-0.114	-0.109	-0.109
272	Q4_18	~~	Q5_5	1.151	-0.024	-0.024	-0.065	-0.065
165	Q4_4	~~	Q4_9	1.125	-0.023	-0.023	-0.062	-0.062
82	EL	=~	Q7_8	1.117	0.115	0.073	0.078	0.078
357	Q5_6	~~	Q7_7	1.095	-0.031	-0.031	-0.059	-0.059
408	Q6_7	~~	Q7_14	1.037	-0.027	-0.027	-0.069	-0.069
388	Q6_5	~~	Q7_5	1.018	-0.036	-0.036	-0.063	-0.063
307	Q5_2	~~	Q6_2	1.010	0.030	0.030	0.059	0.059
207	Q4_5	~~	Q7_8	1.000	0.022	0.022	0.061	0.061
198	Q4_5	~~	Q6_5	0.957	-0.032	-0.032	-0.060	-0.060
124	EN	=~	Q4_5	0.952	-0.093	-0.064	-0.073	-0.073
216	Q4_9	~~	Q5_6	0.948	-0.026	-0.026	-0.058	-0.058
410	Q6_8	~~	Q7_2	0.931	0.018	0.018	0.061	0.061
390	Q6_5	~~	Q7_8	0.930	0.033	0.033	0.056	0.056
176	Q4_4	~~	Q6_5	0.912	-0.027	-0.027	-0.053	-0.053
314	Q5_2	~~	Q7_4	0.905	-0.032	-0.032	-0.061	-0.061
400	Q6_6	~~	Q7_14	0.905	-0.024	-0.024	-0.061	-0.061
361	Q5_12	~~	Q6_5	0.894	0.042	0.042	0.057	0.057
371	Q5_12	~~	Q7_14	0.872	0.038	0.038	0.057	0.057
136	EN	=~	Q6_5	0.868	-0.156	-0.107	-0.097	-0.097
209	Q4_9	~~	Q4_11	0.868	0.026	0.026	0.062	0.062
387	Q6_5	~~	Q7_4	0.864	-0.037	-0.037	-0.056	-0.056
118	IN	=~	Q7_5	0.855	0.131	0.078	0.083	0.083
258	Q4_15	~~	Q6_5	0.850	0.033	0.033	0.056	0.056
158	Q4_3	~~	Q7_2	0.849	-0.017	-0.017	-0.054	-0.054
219	Q4_9	~~	Q6_5	0.846	0.036	0.036	0.055	0.055
84	SC	=~	Q4_3	0.846	-0.075	-0.048	-0.057	-0.057
227	Q4_9	~~	Q7_7	0.845	-0.030	-0.030	-0.053	-0.053
109	IN	=~	Q4_18	0.836	-0.087	-0.052	-0.066	-0.066
235	Q4_11	~~	Q5_5	0.799	-0.026	-0.026	-0.053	-0.053
302	Q5_1	~~	Q7_8	0.790	-0.024	-0.024	-0.054	-0.054
148	Q4_3	~~	Q5_3	0.785	0.022	0.022	0.051	0.051
251	Q4_15	~~	Q5_1	0.771	0.024	0.024	0.055	0.055
175	Q4_4	~~	Q6_2	0.748	0.017	0.017	0.046	0.046
257	Q4_15	~~	Q6_2	0.747	0.021	0.021	0.050	0.050
376	Q6_2	~~	Q7_2	0.740	-0.020	-0.020	-0.052	-0.052
279	Q4_18	~~	Q6_8	0.713	0.013	0.013	0.054	0.054
212	Q4_9	~~	Q5_1	0.711	0.026	0.026	0.053	0.053
206	Q4_5	~~	Q7_7	0.708	0.023	0.023	0.050	0.050
147	Q4_3	~~	Q5_2	0.703	-0.020	-0.020	-0.048	-0.048
261	Q4_15	~~	Q6_8	0.701	-0.016	-0.016	-0.051	-0.051
422	Q7_2	~~	Q7_4	0.697	0.022	0.022	0.057	0.057
141	Q4_3	~~	Q4_5	0.693	-0.016	-0.016	-0.049	-0.049
221	Q4_9	~~	Q6_7	0.663	0.018	0.018	0.056	0.056
192	Q4_5	~~	Q5_2	0.654	-0.022	-0.022	-0.052	-0.052
373	Q6_2	~~	Q6_6	0.648	0.017	0.017	0.052	0.052
296	Q5_1	~~	Q6_8	0.647	0.018	0.018	0.049	0.049
91	SC	=~	Q6_2	0.644	0.080	0.051	0.056	0.056
335	Q5_5	~~	Q6_2	0.642	-0.024	-0.024	-0.043	-0.043
362	Q5_12	~~	Q6_6	0.637	-0.019	-0.019	-0.052	-0.052
240	Q4_11	~~	Q6_6	0.631	-0.015	-0.015	-0.053	-0.053
429	Q7_4	~~	Q7_8	0.620	-0.021	-0.021	-0.049	-0.049
262	Q4_15	~~	Q6_11	0.610	0.021	0.021	0.049	0.049
157	Q4_3	~~	Q6_11	0.595	0.018	0.018	0.043	0.043
327	Q5_3	~~	Q6_11	0.587	-0.026	-0.026	-0.048	-0.048
431	Q7_5	~~	Q7_7	0.563	-0.023	-0.023	-0.048	-0.048
364	Q5_12	~~	Q6_8	0.558	-0.018	-0.018	-0.045	-0.045
273	Q4_18	~~	Q5_6	0.557	0.014	0.014	0.047	0.047
172	Q4_4	~~	Q5_5	0.556	0.017	0.017	0.039	0.039
73	EL	=~	Q6_5	0.552	0.120	0.076	0.069	0.069
252	Q4_15	~~	Q5_2	0.504	0.021	0.021	0.045	0.045
319	Q5_3	~~	Q5_5	0.496	0.027	0.027	0.044	0.044
105	IN	=~	Q4_5	0.484	-0.077	-0.046	-0.053	-0.053
275	Q4_18	~~	Q6_2	0.482	-0.013	-0.013	-0.042	-0.042
143	Q4_3	~~	Q4_11	0.460	-0.014	-0.014	-0.041	-0.041
328	Q5_3	~~	Q7_2	0.459	-0.019	-0.019	-0.045	-0.045
245	Q4_11	~~	Q7_4	0.445	-0.018	-0.018	-0.042	-0.042
177	Q4_4	~~	Q6_6	0.411	0.010	0.010	0.038	0.038
342	Q5_5	~~	Q7_4	0.402	-0.021	-0.021	-0.037	-0.037
68	EL	=~	Q5_3	0.402	-0.082	-0.051	-0.049	-0.049
399	Q6_6	~~	Q7_8	0.370	-0.011	-0.011	-0.039	-0.039
75	EL	=~	Q6_7	0.362	-0.061	-0.038	-0.044	-0.044
403	Q6_7	~~	Q7_2	0.362	-0.011	-0.011	-0.043	-0.043
308	Q5_2	~~	Q6_5	0.343	-0.026	-0.026	-0.036	-0.036
393	Q6_6	~~	Q6_8	0.333	0.010	0.010	0.041	0.041
288	Q5_1	~~	Q5_3	0.325	0.021	0.021	0.039	0.039
274	Q4_18	~~	Q5_12	0.323	0.013	0.013	0.037	0.037
226	Q4_9	~~	Q7_5	0.322	-0.015	-0.015	-0.037	-0.037
86	SC	=~	Q4_5	0.319	-0.053	-0.034	-0.039	-0.039
349	Q5_6	~~	Q6_5	0.318	0.020	0.020	0.033	0.033
152	Q4_3	~~	Q6_2	0.316	-0.011	-0.011	-0.029	-0.029
276	Q4_18	~~	Q6_5	0.305	0.015	0.015	0.035	0.035
343	Q5_5	~~	Q7_5	0.285	-0.016	-0.016	-0.032	-0.032
97	SC	=~	Q7_2	0.271	0.079	0.050	0.057	0.057
241	Q4_11	~~	Q6_7	0.269	0.010	0.010	0.037	0.037
416	Q6_11	~~	Q7_2	0.264	0.013	0.013	0.033	0.033
161	Q4_3	~~	Q7_7	0.252	0.012	0.012	0.026	0.026
106	IN	=~	Q4_9	0.252	-0.065	-0.039	-0.040	-0.040
133	EN	=~	Q5_6	0.250	0.078	0.053	0.058	0.058
277	Q4_18	~~	Q6_6	0.246	-0.007	-0.007	-0.034	-0.034
366	Q5_12	~~	Q7_2	0.244	-0.014	-0.014	-0.032	-0.032
229	Q4_9	~~	Q7_14	0.231	-0.017	-0.017	-0.029	-0.029
269	Q4_18	~~	Q5_1	0.229	-0.010	-0.010	-0.032	-0.032
117	IN	=~	Q7_4	0.228	0.072	0.043	0.045	0.045
389	Q6_5	~~	Q7_7	0.215	0.021	0.021	0.026	0.026
381	Q6_2	~~	Q7_14	0.211	-0.015	-0.015	-0.026	-0.026
92	SC	=~	Q6_5	0.211	0.065	0.041	0.038	0.038
374	Q6_2	~~	Q6_7	0.210	-0.010	-0.010	-0.032	-0.032
266	Q4_15	~~	Q7_7	0.210	-0.014	-0.014	-0.027	-0.027
283	Q4_18	~~	Q7_5	0.206	-0.008	-0.008	-0.031	-0.031
108	IN	=~	Q4_15	0.203	-0.053	-0.032	-0.036	-0.036
298	Q5_1	~~	Q7_2	0.202	-0.012	-0.012	-0.030	-0.030
183	Q4_4	~~	Q7_5	0.199	0.008	0.008	0.026	0.026
139	EN	=~	Q6_8	0.188	0.042	0.029	0.034	0.034
186	Q4_4	~~	Q7_14	0.172	-0.011	-0.011	-0.023	-0.023
281	Q4_18	~~	Q7_2	0.171	-0.007	-0.007	-0.028	-0.028
159	Q4_3	~~	Q7_4	0.171	0.009	0.009	0.023	0.023
187	Q4_5	~~	Q4_9	0.166	0.010	0.010	0.027	0.027
414	Q6_8	~~	Q7_8	0.162	0.008	0.008	0.024	0.024
347	Q5_6	~~	Q5_12	0.158	0.013	0.013	0.026	0.026
407	Q6_7	~~	Q7_8	0.157	0.008	0.008	0.027	0.027
428	Q7_4	~~	Q7_7	0.147	0.013	0.013	0.023	0.023
397	Q6_6	~~	Q7_5	0.140	0.007	0.007	0.026	0.026
420	Q6_11	~~	Q7_8	0.137	0.010	0.010	0.022	0.022
223	Q4_9	~~	Q6_11	0.137	-0.011	-0.011	-0.023	-0.023
334	Q5_5	~~	Q5_12	0.135	-0.014	-0.014	-0.022	-0.022
301	Q5_1	~~	Q7_7	0.130	0.012	0.012	0.021	0.021
208	Q4_5	~~	Q7_14	0.124	-0.011	-0.011	-0.022	-0.022
367	Q5_12	~~	Q7_4	0.115	0.011	0.011	0.021	0.021
203	Q4_5	~~	Q7_2	0.114	0.007	0.007	0.022	0.022
385	Q6_5	~~	Q6_11	0.111	0.014	0.014	0.020	0.020
294	Q5_1	~~	Q6_6	0.110	0.007	0.007	0.022	0.022
356	Q5_6	~~	Q7_5	0.107	-0.008	-0.008	-0.021	-0.021
299	Q5_1	~~	Q7_4	0.106	-0.010	-0.010	-0.021	-0.021
348	Q5_6	~~	Q6_2	0.102	0.008	0.008	0.018	0.018
379	Q6_2	~~	Q7_7	0.101	0.010	0.010	0.017	0.017
234	Q4_11	~~	Q5_3	0.091	-0.009	-0.009	-0.020	-0.020
391	Q6_5	~~	Q7_14	0.089	0.014	0.014	0.018	0.018
325	Q5_3	~~	Q6_7	0.089	-0.007	-0.007	-0.021	-0.021
211	Q4_9	~~	Q4_18	0.081	0.006	0.006	0.020	0.020
104	IN	=~	Q4_4	0.081	-0.027	-0.016	-0.019	-0.019
200	Q4_5	~~	Q6_7	0.080	0.005	0.005	0.020	0.020
295	Q5_1	~~	Q6_7	0.079	-0.006	-0.006	-0.020	-0.020
372	Q6_2	~~	Q6_5	0.074	-0.010	-0.010	-0.015	-0.015
244	Q4_11	~~	Q7_2	0.071	0.006	0.006	0.018	0.018
85	SC	=~	Q4_4	0.067	-0.021	-0.013	-0.015	-0.015
189	Q4_5	~~	Q4_15	0.063	0.006	0.006	0.017	0.017
435	Q7_8	~~	Q7_14	0.061	-0.008	-0.008	-0.015	-0.015
103	IN	=~	Q4_3	0.061	-0.024	-0.014	-0.017	-0.017
215	Q4_9	~~	Q5_5	0.057	0.008	0.008	0.014	0.014
79	EL	=~	Q7_4	0.057	-0.030	-0.019	-0.020	-0.020
191	Q4_5	~~	Q5_1	0.052	-0.006	-0.006	-0.015	-0.015
369	Q5_12	~~	Q7_7	0.052	0.009	0.009	0.013	0.013
153	Q4_3	~~	Q6_5	0.048	-0.006	-0.006	-0.012	-0.012
168	Q4_4	~~	Q4_18	0.035	-0.003	-0.003	-0.012	-0.012
70	EL	=~	Q5_6	0.034	-0.020	-0.012	-0.013	-0.013
316	Q5_2	~~	Q7_7	0.033	0.007	0.007	0.011	0.011
190	Q4_5	~~	Q4_18	0.032	-0.003	-0.003	-0.013	-0.013
202	Q4_5	~~	Q6_11	0.032	0.005	0.005	0.011	0.011
132	EN	=~	Q5_5	0.029	0.030	0.020	0.019	0.019
375	Q6_2	~~	Q6_11	0.029	0.005	0.005	0.010	0.010
333	Q5_3	~~	Q7_14	0.028	0.007	0.007	0.010	0.010
292	Q5_1	~~	Q6_2	0.027	0.005	0.005	0.010	0.010
424	Q7_2	~~	Q7_7	0.026	-0.005	-0.005	-0.010	-0.010
214	Q4_9	~~	Q5_3	0.026	-0.005	-0.005	-0.010	-0.010
339	Q5_5	~~	Q6_8	0.023	0.004	0.004	0.009	0.009
184	Q4_4	~~	Q7_7	0.021	0.003	0.003	0.008	0.008
330	Q5_3	~~	Q7_5	0.019	0.004	0.004	0.009	0.009
188	Q4_5	~~	Q4_11	0.018	0.003	0.003	0.009	0.009
365	Q5_12	~~	Q6_11	0.017	0.005	0.005	0.008	0.008
243	Q4_11	~~	Q6_11	0.017	-0.004	-0.004	-0.008	-0.008
311	Q5_2	~~	Q6_8	0.015	0.003	0.003	0.008	0.008
149	Q4_3	~~	Q5_5	0.015	-0.003	-0.003	-0.006	-0.006
151	Q4_3	~~	Q5_12	0.014	-0.003	-0.003	-0.007	-0.007
382	Q6_5	~~	Q6_6	0.013	-0.003	-0.003	-0.007	-0.007
336	Q5_5	~~	Q6_5	0.008	0.004	0.004	0.005	0.005
213	Q4_9	~~	Q5_2	0.008	0.003	0.003	0.006	0.006
120	IN	=~	Q7_8	0.006	-0.010	-0.006	-0.007	-0.007
425	Q7_2	~~	Q7_8	0.005	-0.002	-0.002	-0.005	-0.005
297	Q5_1	~~	Q6_11	0.004	0.002	0.002	0.004	0.004
199	Q4_5	~~	Q6_6	0.002	-0.001	-0.001	-0.003	-0.003
331	Q5_3	~~	Q7_7	0.001	-0.001	-0.001	-0.002	-0.002
83	EL	=~	Q7_14	0.001	0.004	0.002	0.002	0.002
114	IN	=~	Q5_6	0.001	-0.003	-0.002	-0.002	-0.002
368	Q5_12	~~	Q7_5	0.000	0.001	0.001	0.001	0.001
360	Q5_12	~~	Q6_2	0.000	0.000	0.000	0.001	0.001
237	Q4_11	~~	Q5_12	0.000	0.000	0.000	0.000	0.000

# Revised to be "best fitting"
mod5 <- "
EL =~ Q4_3 + Q4_4 + Q4_5 + Q4_9 + Q4_11 + Q4_15 + Q4_18 + Q5_1
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_5 + Q5_6 + Q5_12 + Q7_14
IN =~ Q6_2 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11 + Q5_12 + Q7_7
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_14 + Q6_11 + Q4_11 + Q4_4

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN

Q4_3 ~~ Q7_5 + Q6_11
Q4_4 ~~ Q6_11
Q4_3 + Q5_1 ~~ Q4_4
Q4_9 ~~ Q4_3 + Q7_2

Q5_5 ~~ Q5_6 + Q7_14
Q5_2 ~~ Q5_6 + Q7_8
Q6_2 ~~ Q6_8
Q6_11 + Q4_11 ~~  Q7_5
Q7_7 ~~ Q7_8

"
fit5 <- lavaan::cfa(mod5, data=mydata, estimator = "MLM")
summary(fit5, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 89 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of free parameters                         78
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               448.802     335.164
  Degrees of freedom                               247         247
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.339
       Satorra-Bentler correction                                 

Model Test Baseline Model:

  Test statistic                              4736.187    3156.822
  Degrees of freedom                               300         300
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.500

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.955       0.969
  Tucker-Lewis Index (TLI)                       0.945       0.963
                                                                  
  Robust Comparative Fit Index (CFI)                         0.972
  Robust Tucker-Lewis Index (TLI)                            0.967

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -8385.876   -8385.876
  Loglikelihood unrestricted model (H1)      -8161.475   -8161.475
                                                                  
  Akaike (AIC)                               16927.752   16927.752
  Bayesian (BIC)                             17219.706   17219.706
  Sample-size adjusted Bayesian (BIC)        16972.316   16972.316

Root Mean Square Error of Approximation:

  RMSEA                                          0.051       0.034
  90 Percent confidence interval - lower         0.044       0.025
  90 Percent confidence interval - upper         0.059       0.041
  P-value RMSEA <= 0.05                          0.390       1.000
                                                                  
  Robust RMSEA                                               0.039
  90 Percent confidence interval - lower                     0.028
  90 Percent confidence interval - upper                     0.049

Standardized Root Mean Square Residual:

  SRMR                                           0.039       0.039

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model          Structured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_3              1.000                               0.643    0.767
    Q4_4              0.809    0.089    9.119    0.000    0.520    0.614
    Q4_5              1.017    0.075   13.551    0.000    0.654    0.752
    Q4_9              1.057    0.090   11.752    0.000    0.680    0.708
    Q4_11             0.794    0.104    7.631    0.000    0.511    0.536
    Q4_15             1.003    0.071   14.100    0.000    0.645    0.731
    Q4_18             1.009    0.069   14.708    0.000    0.648    0.822
    Q5_1              0.442    0.099    4.471    0.000    0.284    0.300
  SC =~                                                                 
    Q5_1              1.000                               0.421    0.444
    Q5_2              1.718    0.278    6.179    0.000    0.723    0.716
    Q5_3              1.730    0.273    6.332    0.000    0.728    0.700
    Q5_5              1.689    0.284    5.957    0.000    0.711    0.671
    Q5_6              1.667    0.273    6.096    0.000    0.702    0.763
    Q5_12             0.880    0.208    4.235    0.000    0.370    0.366
    Q7_14             0.615    0.298    2.066    0.039    0.259    0.249
  IN =~                                                                 
    Q6_2              1.000                               0.592    0.652
    Q6_5              0.929    0.128    7.265    0.000    0.550    0.501
    Q6_6              1.072    0.102   10.540    0.000    0.635    0.808
    Q6_7              1.304    0.134    9.762    0.000    0.772    0.882
    Q6_8              1.110    0.097   11.446    0.000    0.657    0.789
    Q6_11             0.167    0.182    0.916    0.359    0.099    0.101
    Q5_12             0.672    0.146    4.599    0.000    0.398    0.393
    Q7_7             -0.552    0.199   -2.777    0.005   -0.327   -0.307
  EN =~                                                                 
    Q7_2              1.000                               0.663    0.754
    Q7_4              0.958    0.072   13.387    0.000    0.635    0.675
    Q7_5              1.096    0.077   14.268    0.000    0.727    0.772
    Q7_7              1.433    0.186    7.715    0.000    0.951    0.894
    Q7_8              1.048    0.082   12.840    0.000    0.695    0.748
    Q7_14             0.601    0.186    3.224    0.001    0.399    0.383
    Q6_11             1.005    0.163    6.175    0.000    0.667    0.684
    Q4_11             0.422    0.099    4.255    0.000    0.280    0.294
    Q4_4              0.239    0.082    2.921    0.003    0.159    0.187

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.156    0.034    4.627    0.000    0.577    0.577
    IN                0.268    0.048    5.607    0.000    0.704    0.704
    EN                0.302    0.047    6.489    0.000    0.709    0.709
  SC ~~                                                                 
    IN                0.130    0.033    3.979    0.000    0.520    0.520
    EN                0.211    0.041    5.199    0.000    0.756    0.756
  IN ~~                                                                 
    EN                0.302    0.050    6.078    0.000    0.768    0.768
 .Q4_3 ~~                                                               
   .Q7_5             -0.039    0.023   -1.686    0.092   -0.039   -0.122
   .Q6_11             0.052    0.025    2.055    0.040    0.052    0.153
 .Q4_4 ~~                                                               
   .Q6_11             0.045    0.025    1.767    0.077    0.045    0.129
 .Q4_3 ~~                                                               
   .Q4_4              0.111    0.023    4.722    0.000    0.111    0.372
 .Q4_4 ~~                                                               
   .Q5_1             -0.072    0.022   -3.200    0.001   -0.072   -0.184
 .Q4_3 ~~                                                               
   .Q4_9             -0.061    0.027   -2.224    0.026   -0.061   -0.167
 .Q4_9 ~~                                                               
   .Q7_2              0.101    0.028    3.584    0.000    0.101    0.257
 .Q5_5 ~~                                                               
   .Q5_6              0.101    0.043    2.342    0.019    0.101    0.217
   .Q7_14             0.177    0.044    3.979    0.000    0.177    0.268
 .Q5_2 ~~                                                               
   .Q5_6             -0.089    0.035   -2.504    0.012   -0.089   -0.212
   .Q7_8             -0.103    0.030   -3.373    0.001   -0.103   -0.237
 .Q6_2 ~~                                                               
   .Q6_8              0.098    0.038    2.585    0.010    0.098    0.277
 .Q6_11 ~~                                                              
   .Q7_5             -0.076    0.028   -2.674    0.007   -0.076   -0.202
 .Q4_11 ~~                                                              
   .Q7_5              0.057    0.026    2.172    0.030    0.057    0.157
 .Q7_7 ~~                                                               
   .Q7_8              0.095    0.044    2.165    0.030    0.095    0.200

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.413    0.063    6.546    0.000    1.000    1.000
    SC                0.177    0.054    3.308    0.001    1.000    1.000
    IN                0.351    0.074    4.713    0.000    1.000    1.000
    EN                0.440    0.062    7.131    0.000    1.000    1.000
   .Q4_3              0.290    0.032    8.948    0.000    0.290    0.412
   .Q4_4              0.306    0.025   12.312    0.000    0.306    0.426
   .Q4_5              0.328    0.045    7.289    0.000    0.328    0.434
   .Q4_9              0.460    0.049    9.400    0.000    0.460    0.499
   .Q4_11             0.365    0.036   10.211    0.000    0.365    0.403
   .Q4_15             0.362    0.039    9.320    0.000    0.362    0.465
   .Q4_18             0.202    0.026    7.851    0.000    0.202    0.325
   .Q5_1              0.503    0.043   11.630    0.000    0.503    0.559
   .Q5_2              0.495    0.063    7.922    0.000    0.495    0.487
   .Q5_3              0.551    0.057    9.675    0.000    0.551    0.510
   .Q5_5              0.617    0.068    9.021    0.000    0.617    0.550
   .Q5_6              0.353    0.053    6.679    0.000    0.353    0.418
   .Q5_12             0.574    0.059    9.737    0.000    0.574    0.561
   .Q7_14             0.704    0.056   12.463    0.000    0.704    0.648
   .Q6_2              0.474    0.058    8.247    0.000    0.474    0.575
   .Q6_5              0.903    0.086   10.447    0.000    0.903    0.749
   .Q6_6              0.215    0.028    7.754    0.000    0.215    0.348
   .Q6_7              0.170    0.028    6.062    0.000    0.170    0.222
   .Q6_8              0.263    0.037    7.017    0.000    0.263    0.378
   .Q6_11             0.395    0.045    8.692    0.000    0.395    0.416
   .Q7_7              0.599    0.070    8.559    0.000    0.599    0.529
   .Q7_2              0.335    0.037    9.035    0.000    0.335    0.432
   .Q7_4              0.483    0.049    9.925    0.000    0.483    0.545
   .Q7_5              0.357    0.043    8.302    0.000    0.357    0.403
   .Q7_8              0.380    0.048    7.897    0.000    0.380    0.440

# Residual Analysis
out <- residuals(fit5, type="cor.bollen")
kable(out[[2]], format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	Q4_3	Q4_4	Q4_5	Q4_9	Q4_11	Q4_15	Q4_18	Q5_1	Q5_2	Q5_3	Q5_5	Q5_6	Q5_12	Q7_14	Q6_2	Q6_5	Q6_6	Q6_7	Q6_8	Q6_11	Q7_7	Q7_2	Q7_4	Q7_5	Q7_8
Q4_3	0.000	0.007	-0.023	-0.020	-0.002	-0.006	0.027	0.019	-0.073	0.029	-0.038	-0.017	-0.014	0.022	0.021	0.003	0.019	-0.054	0.000	0.019	0.003	0.005	0.024	-0.035	-0.010
Q4_4	0.007	0.000	0.040	-0.038	0.035	-0.029	0.027	0.009	-0.112	-0.022	-0.020	0.033	-0.048	-0.014	0.023	-0.018	-0.007	-0.078	-0.052	0.018	-0.005	0.032	0.052	-0.045	0.031
Q4_5	-0.023	0.040	0.000	0.008	0.026	-0.002	-0.007	-0.025	-0.044	0.087	-0.050	0.068	-0.014	-0.008	0.079	0.003	-0.005	0.010	-0.024	0.050	0.037	0.048	-0.029	-0.034	0.047
Q4_9	-0.020	-0.038	0.008	0.000	0.033	0.020	-0.009	0.030	0.017	0.059	0.013	0.033	0.088	0.013	0.046	0.055	-0.046	0.012	-0.050	0.026	0.017	0.040	0.005	0.020	0.078
Q4_11	-0.002	0.035	0.026	0.033	0.000	-0.063	-0.035	0.026	-0.070	0.003	-0.077	-0.041	0.002	-0.059	0.001	0.065	-0.019	0.012	0.026	-0.009	0.037	0.027	-0.029	-0.007	0.042
Q4_15	-0.006	-0.029	-0.002	0.020	-0.063	0.000	0.028	0.016	0.021	0.101	0.024	0.017	0.106	0.075	0.044	0.053	-0.047	0.022	-0.023	0.054	-0.043	-0.053	-0.073	-0.069	-0.050
Q4_18	0.027	0.027	-0.007	-0.009	-0.035	0.028	0.000	-0.061	-0.024	-0.012	-0.061	0.009	0.015	-0.061	0.017	0.041	-0.024	0.020	0.001	0.004	-0.102	-0.002	-0.003	-0.051	-0.058
Q5_1	0.019	0.009	-0.025	0.030	0.026	0.016	-0.061	0.000	0.078	0.041	-0.045	-0.069	-0.026	-0.026	0.056	-0.010	0.025	0.005	0.043	0.027	0.022	0.024	-0.004	0.057	-0.012
Q5_2	-0.073	-0.112	-0.044	0.017	-0.070	0.021	-0.024	0.078	0.000	0.041	0.002	-0.020	-0.050	0.011	0.063	0.004	0.041	-0.041	0.022	0.002	-0.071	0.027	-0.075	-0.087	-0.043
Q5_3	0.029	-0.022	0.087	0.059	0.003	0.101	-0.012	0.041	0.041	0.000	0.003	-0.005	-0.042	-0.033	0.087	0.100	-0.036	-0.007	-0.011	-0.037	-0.040	-0.015	-0.073	-0.017	-0.059
Q5_5	-0.038	-0.020	-0.050	0.013	-0.077	0.024	-0.061	-0.045	0.002	0.003	0.000	-0.003	0.017	-0.001	-0.012	0.023	-0.055	-0.055	-0.023	0.024	0.077	0.064	-0.004	-0.002	-0.013
Q5_6	-0.017	0.033	0.068	0.033	-0.041	0.017	0.009	-0.069	-0.020	-0.005	-0.003	0.000	0.039	-0.011	0.045	0.069	0.041	0.005	0.002	0.046	0.017	0.011	0.040	0.013	0.083
Q5_12	-0.014	-0.048	-0.014	0.088	0.002	0.106	0.015	-0.026	-0.050	-0.042	0.017	0.039	0.000	0.060	-0.005	0.036	-0.053	0.031	-0.048	0.039	0.080	0.027	0.020	0.020	0.067
Q7_14	0.022	-0.014	-0.008	0.013	-0.059	0.075	-0.061	-0.026	0.011	-0.033	-0.001	-0.011	0.060	0.000	-0.042	0.003	-0.036	-0.045	-0.053	0.073	0.101	-0.042	-0.056	-0.027	0.022
Q6_2	0.021	0.023	0.079	0.046	0.001	0.044	0.017	0.056	0.063	0.087	-0.012	0.045	-0.005	-0.042	0.000	-0.020	0.024	-0.013	0.000	0.027	-0.002	0.005	0.063	-0.023	-0.078
Q6_5	0.003	-0.018	0.003	0.055	0.065	0.053	0.041	-0.010	0.004	0.100	0.023	0.069	0.036	0.003	-0.020	0.000	-0.002	0.019	-0.044	0.039	0.042	-0.056	-0.033	-0.027	0.020
Q6_6	0.019	-0.007	-0.005	-0.046	-0.019	-0.047	-0.024	0.025	0.041	-0.036	-0.055	0.041	-0.053	-0.036	0.024	-0.002	0.000	0.002	0.008	0.014	-0.022	0.061	-0.030	0.009	-0.044
Q6_7	-0.054	-0.078	0.010	0.012	0.012	0.022	0.020	0.005	-0.041	-0.007	-0.055	0.005	0.031	-0.045	-0.013	0.019	0.002	0.000	0.001	-0.042	-0.018	-0.001	-0.043	0.012	-0.039
Q6_8	0.000	-0.052	-0.024	-0.050	0.026	-0.023	0.001	0.043	0.022	-0.011	-0.023	0.002	-0.048	-0.053	0.000	-0.044	0.008	0.001	0.000	-0.009	-0.008	0.055	0.079	0.065	-0.018
Q6_11	0.019	0.018	0.050	0.026	-0.009	0.054	0.004	0.027	0.002	-0.037	0.024	0.046	0.039	0.073	0.027	0.039	0.014	-0.042	-0.009	0.000	0.020	-0.019	-0.004	-0.006	-0.033
Q7_7	0.003	-0.005	0.037	0.017	0.037	-0.043	-0.102	0.022	-0.071	-0.040	0.077	0.017	0.080	0.101	-0.002	0.042	-0.022	-0.018	-0.008	0.020	0.000	-0.016	-0.013	-0.026	0.018
Q7_2	0.005	0.032	0.048	0.040	0.027	-0.053	-0.002	0.024	0.027	-0.015	0.064	0.011	0.027	-0.042	0.005	-0.056	0.061	-0.001	0.055	-0.019	-0.016	0.000	0.030	-0.009	0.010
Q7_4	0.024	0.052	-0.029	0.005	-0.029	-0.073	-0.003	-0.004	-0.075	-0.073	-0.004	0.040	0.020	-0.056	0.063	-0.033	-0.030	-0.043	0.079	-0.004	-0.013	0.030	0.000	0.041	-0.016
Q7_5	-0.035	-0.045	-0.034	0.020	-0.007	-0.069	-0.051	0.057	-0.087	-0.017	-0.002	0.013	0.020	-0.027	-0.023	-0.027	0.009	0.012	0.065	-0.006	-0.026	-0.009	0.041	0.000	0.039
Q7_8	-0.010	0.031	0.047	0.078	0.042	-0.050	-0.058	-0.012	-0.043	-0.059	-0.013	0.083	0.067	0.022	-0.078	0.020	-0.044	-0.039	-0.018	-0.033	0.018	0.010	-0.016	0.039	0.000

ggcorrplot(out[[2]], type = "lower")

# modification indices
kable(modindices(fit5, sort = TRUE), format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	lhs	op	rhs	mi	epc	sepc.lv	sepc.all	sepc.nox
360	Q5_6	~~	Q7_8	9.480	0.071	0.071	0.193	0.193
259	Q4_15	~~	Q5_12	7.999	0.079	0.079	0.174	0.174
398	Q6_5	~~	Q7_2	7.471	-0.089	-0.089	-0.162	-0.162
365	Q5_12	~~	Q6_7	7.149	0.064	0.064	0.206	0.206
406	Q6_6	~~	Q7_2	7.021	0.046	0.046	0.172	0.172
378	Q7_14	~~	Q6_11	6.982	0.084	0.084	0.159	0.159
285	Q4_18	~~	Q7_7	6.844	-0.059	-0.059	-0.169	-0.169
290	Q5_1	~~	Q5_2	6.794	0.092	0.092	0.184	0.184
260	Q4_15	~~	Q7_14	6.747	0.076	0.076	0.152	0.152
344	Q5_5	~~	Q7_2	6.607	0.066	0.066	0.144	0.144
364	Q5_12	~~	Q6_6	6.571	-0.060	-0.060	-0.171	-0.171
380	Q7_14	~~	Q7_2	6.531	-0.072	-0.072	-0.149	-0.149
172	Q4_4	~~	Q4_9	6.498	-0.062	-0.062	-0.164	-0.164
268	Q4_15	~~	Q7_2	6.297	-0.055	-0.055	-0.157	-0.157
313	Q5_2	~~	Q6_6	6.174	0.056	0.056	0.170	0.170
293	Q5_1	~~	Q5_6	6.113	-0.073	-0.073	-0.173	-0.173
234	Q4_11	~~	Q4_15	5.749	-0.056	-0.056	-0.153	-0.153
420	Q6_8	~~	Q7_4	5.464	0.050	0.050	0.140	0.140
228	Q4_9	~~	Q6_8	5.423	-0.048	-0.048	-0.138	-0.138
145	EN	=~	Q5_12	5.409	0.451	0.299	0.296	0.296
325	Q5_3	~~	Q6_2	5.328	0.070	0.070	0.137	0.137
266	Q4_15	~~	Q6_11	5.306	0.056	0.056	0.148	0.148
392	Q6_2	~~	Q7_8	5.017	-0.053	-0.053	-0.124	-0.124
347	Q5_5	~~	Q7_8	4.967	-0.060	-0.060	-0.124	-0.124
149	EN	=~	Q6_7	4.941	-0.219	-0.145	-0.166	-0.166
326	Q5_3	~~	Q6_5	4.935	0.097	0.097	0.137	0.137
173	Q4_4	~~	Q4_11	4.930	0.041	0.041	0.124	0.124
379	Q7_14	~~	Q7_7	4.909	0.083	0.083	0.128	0.128
222	Q4_9	~~	Q5_12	4.873	0.068	0.068	0.132	0.132
200	Q4_5	~~	Q5_6	4.682	0.048	0.048	0.141	0.141
272	Q4_18	~~	Q5_1	4.609	-0.046	-0.046	-0.143	-0.143
151	Q4_3	~~	Q4_5	4.570	-0.041	-0.041	-0.134	-0.134
433	Q7_4	~~	Q7_5	4.514	0.058	0.058	0.139	0.139
421	Q6_8	~~	Q7_5	4.441	0.039	0.039	0.128	0.128
141	EN	=~	Q5_2	4.284	-0.319	-0.212	-0.210	-0.210
233	Q4_9	~~	Q7_8	4.261	0.051	0.051	0.121	0.121
203	Q4_5	~~	Q6_2	4.249	0.048	0.048	0.121	0.121
180	Q4_4	~~	Q5_12	4.171	-0.046	-0.046	-0.110	-0.110
139	EN	=~	Q4_18	4.111	-0.157	-0.104	-0.132	-0.132
226	Q4_9	~~	Q6_6	4.079	-0.041	-0.041	-0.130	-0.130
119	IN	=~	Q4_4	4.048	-0.200	-0.118	-0.140	-0.140
305	Q5_1	~~	Q7_5	3.985	0.052	0.052	0.123	0.123
366	Q5_12	~~	Q6_8	3.981	-0.047	-0.047	-0.121	-0.121
171	Q4_4	~~	Q4_5	3.918	0.037	0.037	0.117	0.117
320	Q5_2	~~	Q7_5	3.784	-0.055	-0.055	-0.130	-0.130
269	Q4_15	~~	Q7_4	3.634	-0.050	-0.050	-0.118	-0.118
256	Q4_15	~~	Q5_3	3.632	0.055	0.055	0.122	0.122
189	Q4_4	~~	Q7_4	3.621	0.040	0.040	0.105	0.105
185	Q4_4	~~	Q6_7	3.541	-0.028	-0.028	-0.121	-0.121
142	EN	=~	Q5_3	3.534	-0.291	-0.193	-0.186	-0.186
249	Q4_11	~~	Q7_7	3.467	0.053	0.053	0.114	0.114
317	Q5_2	~~	Q7_7	3.457	-0.070	-0.070	-0.128	-0.128
294	Q5_1	~~	Q5_12	3.413	-0.060	-0.060	-0.112	-0.112
307	Q5_2	~~	Q5_3	3.406	0.080	0.080	0.152	0.152
104	SC	=~	Q4_11	3.404	-0.306	-0.129	-0.135	-0.135
212	Q4_5	~~	Q7_5	3.388	-0.041	-0.041	-0.119	-0.119
343	Q5_5	~~	Q7_7	3.297	0.062	0.062	0.101	0.101
137	EN	=~	Q4_9	3.266	0.196	0.130	0.136	0.136
188	Q4_4	~~	Q7_2	3.262	0.033	0.033	0.103	0.103
89	EL	=~	Q6_2	3.209	0.176	0.113	0.125	0.125
103	SC	=~	Q4_9	3.204	0.252	0.106	0.110	0.110
144	EN	=~	Q5_6	3.202	0.240	0.159	0.173	0.173
327	Q5_3	~~	Q6_6	3.183	-0.041	-0.041	-0.120	-0.120
419	Q6_8	~~	Q7_2	3.167	0.032	0.032	0.107	0.107
198	Q4_5	~~	Q5_3	3.082	0.048	0.048	0.114	0.114
263	Q4_15	~~	Q6_6	3.055	-0.032	-0.032	-0.116	-0.116
318	Q5_2	~~	Q7_2	2.994	0.046	0.046	0.113	0.113
391	Q6_2	~~	Q7_5	2.977	-0.041	-0.041	-0.100	-0.100
165	Q4_3	~~	Q6_7	2.959	-0.025	-0.025	-0.115	-0.115
361	Q5_12	~~	Q7_14	2.956	0.063	0.063	0.099	0.099
84	EL	=~	Q5_3	2.812	0.182	0.117	0.112	0.112
155	Q4_3	~~	Q5_1	2.804	0.041	0.041	0.108	0.108
381	Q7_14	~~	Q7_4	2.790	-0.056	-0.056	-0.097	-0.097
253	Q4_15	~~	Q4_18	2.682	0.032	0.032	0.119	0.119
199	Q4_5	~~	Q5_5	2.651	-0.042	-0.042	-0.094	-0.094
85	EL	=~	Q5_5	2.633	-0.159	-0.102	-0.097	-0.097
129	IN	=~	Q5_6	2.633	0.151	0.089	0.097	0.097
201	Q4_5	~~	Q5_12	2.630	-0.044	-0.044	-0.101	-0.101
352	Q5_6	~~	Q6_6	2.614	0.030	0.030	0.110	0.110
414	Q6_7	~~	Q7_4	2.613	-0.034	-0.034	-0.118	-0.118
297	Q5_1	~~	Q6_5	2.572	-0.063	-0.063	-0.094	-0.094
244	Q4_11	~~	Q6_5	2.438	0.053	0.053	0.092	0.092
110	SC	=~	Q6_7	2.438	-0.165	-0.070	-0.079	-0.079
368	Q5_12	~~	Q7_7	2.435	0.055	0.055	0.094	0.094
323	Q5_3	~~	Q5_12	2.403	-0.057	-0.057	-0.101	-0.101
225	Q4_9	~~	Q6_5	2.386	0.059	0.059	0.091	0.091
159	Q4_3	~~	Q5_6	2.371	-0.029	-0.029	-0.090	-0.090
240	Q4_11	~~	Q5_6	2.367	-0.035	-0.035	-0.097	-0.097
131	IN	=~	Q7_2	2.347	0.184	0.109	0.124	0.124
166	Q4_3	~~	Q6_8	2.330	0.023	0.023	0.084	0.084
248	Q4_11	~~	Q6_11	2.314	-0.038	-0.038	-0.099	-0.099
314	Q5_2	~~	Q6_7	2.288	-0.034	-0.034	-0.116	-0.116
424	Q6_11	~~	Q7_2	2.266	-0.037	-0.037	-0.103	-0.103
395	Q6_5	~~	Q6_8	2.264	-0.044	-0.044	-0.090	-0.090
174	Q4_4	~~	Q4_15	2.256	-0.029	-0.029	-0.087	-0.087
156	Q4_3	~~	Q5_2	2.237	-0.034	-0.034	-0.089	-0.089
106	SC	=~	Q4_18	2.186	-0.151	-0.063	-0.080	-0.080
134	IN	=~	Q7_8	2.178	-0.192	-0.114	-0.123	-0.123
264	Q4_15	~~	Q6_7	2.173	0.027	0.027	0.109	0.109
164	Q4_3	~~	Q6_6	2.141	0.022	0.022	0.087	0.087
215	Q4_9	~~	Q4_15	2.139	0.039	0.039	0.096	0.096
235	Q4_11	~~	Q4_18	2.130	-0.028	-0.028	-0.101	-0.101
236	Q4_11	~~	Q5_1	2.122	0.037	0.037	0.087	0.087
339	Q5_5	~~	Q6_6	2.120	-0.032	-0.032	-0.087	-0.087
107	SC	=~	Q6_2	2.116	0.178	0.075	0.083	0.083
276	Q4_18	~~	Q5_6	2.066	0.026	0.026	0.098	0.098
211	Q4_5	~~	Q7_4	2.038	-0.036	-0.036	-0.089	-0.089
140	EN	=~	Q5_1	2.028	0.206	0.137	0.144	0.144
426	Q6_11	~~	Q7_8	2.027	-0.036	-0.036	-0.092	-0.092
207	Q4_5	~~	Q6_8	2.006	-0.026	-0.026	-0.087	-0.087
356	Q5_6	~~	Q7_7	2.000	-0.042	-0.042	-0.090	-0.090
273	Q4_18	~~	Q5_2	1.998	0.031	0.031	0.098	0.098
150	EN	=~	Q6_8	1.995	0.125	0.083	0.099	0.099
105	SC	=~	Q4_15	1.988	0.177	0.074	0.084	0.084
282	Q4_18	~~	Q6_7	1.959	0.020	0.020	0.109	0.109
333	Q5_3	~~	Q7_4	1.925	-0.045	-0.045	-0.088	-0.088
128	IN	=~	Q5_5	1.919	-0.141	-0.083	-0.079	-0.079
271	Q4_15	~~	Q7_8	1.919	-0.031	-0.031	-0.083	-0.083
335	Q5_3	~~	Q7_8	1.901	-0.040	-0.040	-0.087	-0.087
390	Q6_2	~~	Q7_4	1.895	0.038	0.038	0.079	0.079
357	Q5_6	~~	Q7_2	1.888	-0.030	-0.030	-0.088	-0.088
242	Q4_11	~~	Q7_14	1.887	-0.040	-0.040	-0.078	-0.078
161	Q4_3	~~	Q7_14	1.879	0.033	0.033	0.072	0.072
287	Q4_18	~~	Q7_4	1.878	0.028	0.028	0.090	0.090
176	Q4_4	~~	Q5_2	1.872	-0.031	-0.031	-0.079	-0.079
83	EL	=~	Q5_2	1.861	-0.149	-0.096	-0.095	-0.095
407	Q6_6	~~	Q7_4	1.835	-0.028	-0.028	-0.088	-0.088
400	Q6_5	~~	Q7_5	1.832	-0.046	-0.046	-0.082	-0.082
274	Q4_18	~~	Q5_3	1.760	-0.030	-0.030	-0.090	-0.090
193	Q4_5	~~	Q4_11	1.747	0.030	0.030	0.085	0.085
309	Q5_2	~~	Q5_12	1.741	-0.049	-0.049	-0.091	-0.091
319	Q5_2	~~	Q7_4	1.735	-0.042	-0.042	-0.086	-0.086
377	Q7_14	~~	Q6_8	1.712	-0.032	-0.032	-0.074	-0.074
154	Q4_3	~~	Q4_18	1.704	0.022	0.022	0.091	0.091
98	EL	=~	Q7_5	1.674	-0.136	-0.087	-0.093	-0.093
372	Q5_12	~~	Q7_8	1.665	0.036	0.036	0.076	0.076
186	Q4_4	~~	Q6_8	1.660	-0.019	-0.019	-0.069	-0.069
94	EL	=~	Q6_11	1.648	0.146	0.094	0.097	0.097
430	Q7_2	~~	Q7_4	1.642	0.032	0.032	0.081	0.081
251	Q4_11	~~	Q7_4	1.637	-0.033	-0.033	-0.079	-0.079
112	SC	=~	Q6_11	1.599	0.256	0.108	0.110	0.110
429	Q7_7	~~	Q7_5	1.595	-0.039	-0.039	-0.085	-0.085
354	Q5_6	~~	Q6_8	1.592	-0.024	-0.024	-0.079	-0.079
278	Q4_18	~~	Q7_14	1.580	-0.029	-0.029	-0.077	-0.077
431	Q7_2	~~	Q7_5	1.564	-0.029	-0.029	-0.085	-0.085
108	SC	=~	Q6_5	1.559	0.219	0.092	0.084	0.084
101	SC	=~	Q4_4	1.558	-0.172	-0.072	-0.085	-0.085
184	Q4_4	~~	Q6_6	1.557	0.018	0.018	0.072	0.072
224	Q4_9	~~	Q6_2	1.552	0.033	0.033	0.070	0.070
182	Q4_4	~~	Q6_2	1.540	0.024	0.024	0.063	0.063
396	Q6_5	~~	Q6_11	1.525	0.045	0.045	0.075	0.075
190	Q4_4	~~	Q7_5	1.517	-0.027	-0.027	-0.080	-0.080
93	EL	=~	Q6_8	1.502	-0.097	-0.062	-0.075	-0.075
91	EL	=~	Q6_6	1.487	-0.097	-0.062	-0.079	-0.079
90	EL	=~	Q6_5	1.419	0.167	0.107	0.098	0.098
157	Q4_3	~~	Q5_3	1.368	0.027	0.027	0.068	0.068
289	Q4_18	~~	Q7_8	1.329	-0.020	-0.020	-0.073	-0.073
418	Q6_8	~~	Q7_7	1.322	-0.028	-0.028	-0.069	-0.069
181	Q4_4	~~	Q7_14	1.281	-0.027	-0.027	-0.058	-0.058
177	Q4_4	~~	Q5_3	1.276	-0.026	-0.026	-0.063	-0.063
329	Q5_3	~~	Q6_8	1.275	-0.027	-0.027	-0.070	-0.070
389	Q6_2	~~	Q7_2	1.271	-0.026	-0.026	-0.064	-0.064
394	Q6_5	~~	Q6_7	1.248	0.033	0.033	0.085	0.085
96	EL	=~	Q7_2	1.239	0.107	0.069	0.078	0.078
358	Q5_6	~~	Q7_4	1.224	0.029	0.029	0.071	0.071
136	EN	=~	Q4_5	1.206	0.099	0.066	0.076	0.076
295	Q5_1	~~	Q7_14	1.205	-0.037	-0.037	-0.063	-0.063
310	Q5_2	~~	Q7_14	1.195	0.043	0.043	0.073	0.073
369	Q5_12	~~	Q7_2	1.175	-0.029	-0.029	-0.065	-0.065
243	Q4_11	~~	Q6_2	1.167	-0.025	-0.025	-0.061	-0.061
435	Q7_5	~~	Q7_8	1.161	0.026	0.026	0.070	0.070
115	SC	=~	Q7_4	1.149	-0.209	-0.088	-0.093	-0.093
252	Q4_11	~~	Q7_8	1.137	0.024	0.024	0.064	0.064
138	EN	=~	Q4_15	1.132	-0.099	-0.066	-0.075	-0.075
397	Q6_5	~~	Q7_7	1.128	0.046	0.046	0.063	0.063
279	Q4_18	~~	Q6_2	1.123	-0.020	-0.020	-0.065	-0.065
330	Q5_3	~~	Q6_11	1.108	-0.032	-0.032	-0.068	-0.068
179	Q4_4	~~	Q5_6	1.095	0.020	0.020	0.060	0.060
385	Q6_2	~~	Q6_6	1.053	0.021	0.021	0.066	0.066
209	Q4_5	~~	Q7_7	1.048	0.028	0.028	0.063	0.063
387	Q6_2	~~	Q6_11	1.035	0.026	0.026	0.059	0.059
87	EL	=~	Q5_12	1.022	0.125	0.080	0.079	0.079
411	Q6_7	~~	Q6_11	1.006	-0.021	-0.021	-0.079	-0.079
417	Q6_8	~~	Q6_11	1.002	-0.020	-0.020	-0.062	-0.062
258	Q4_15	~~	Q5_6	0.998	-0.023	-0.023	-0.065	-0.065
130	IN	=~	Q7_14	0.997	-0.155	-0.092	-0.088	-0.088
399	Q6_5	~~	Q7_4	0.990	-0.039	-0.039	-0.059	-0.059
191	Q4_4	~~	Q7_8	0.980	0.018	0.018	0.053	0.053
386	Q6_2	~~	Q6_7	0.973	-0.022	-0.022	-0.076	-0.076
247	Q4_11	~~	Q6_8	0.971	0.018	0.018	0.058	0.058
196	Q4_5	~~	Q5_1	0.905	-0.024	-0.024	-0.060	-0.060
341	Q5_5	~~	Q6_8	0.904	0.021	0.021	0.053	0.053
183	Q4_4	~~	Q6_5	0.883	-0.026	-0.026	-0.050	-0.050
133	IN	=~	Q7_5	0.867	0.116	0.069	0.073	0.073
300	Q5_1	~~	Q6_8	0.864	0.020	0.020	0.055	0.055
102	SC	=~	Q4_5	0.861	0.112	0.047	0.054	0.054
423	Q6_11	~~	Q7_7	0.852	0.030	0.030	0.063	0.063
265	Q4_15	~~	Q6_8	0.815	-0.017	-0.017	-0.055	-0.055
434	Q7_4	~~	Q7_8	0.793	-0.023	-0.023	-0.054	-0.054
210	Q4_5	~~	Q7_2	0.785	0.019	0.019	0.056	0.056
405	Q6_6	~~	Q7_7	0.783	-0.021	-0.021	-0.059	-0.059
245	Q4_11	~~	Q6_6	0.777	-0.016	-0.016	-0.057	-0.057
204	Q4_5	~~	Q6_5	0.764	-0.029	-0.029	-0.054	-0.054
383	Q7_14	~~	Q7_8	0.762	0.025	0.025	0.049	0.049
328	Q5_3	~~	Q6_7	0.743	0.020	0.020	0.065	0.065
162	Q4_3	~~	Q6_2	0.742	-0.017	-0.017	-0.045	-0.045
348	Q5_6	~~	Q5_12	0.722	0.026	0.026	0.058	0.058
262	Q4_15	~~	Q6_5	0.709	0.029	0.029	0.051	0.051
281	Q4_18	~~	Q6_6	0.708	-0.012	-0.012	-0.059	-0.059
298	Q5_1	~~	Q6_6	0.704	0.018	0.018	0.053	0.053
213	Q4_5	~~	Q7_8	0.696	0.018	0.018	0.050	0.050
86	EL	=~	Q5_6	0.689	0.076	0.049	0.053	0.053
349	Q5_6	~~	Q7_14	0.670	-0.031	-0.031	-0.062	-0.062
175	Q4_4	~~	Q4_18	0.660	0.013	0.013	0.052	0.052
367	Q5_12	~~	Q6_11	0.628	0.023	0.023	0.049	0.049
197	Q4_5	~~	Q5_2	0.626	-0.021	-0.021	-0.052	-0.052
117	SC	=~	Q7_8	0.625	0.141	0.059	0.064	0.064
169	Q4_3	~~	Q7_4	0.610	0.017	0.017	0.044	0.044
324	Q5_3	~~	Q7_14	0.609	-0.030	-0.030	-0.049	-0.049
291	Q5_1	~~	Q5_3	0.576	0.026	0.026	0.050	0.050
246	Q4_11	~~	Q6_7	0.552	0.013	0.013	0.053	0.053
315	Q5_2	~~	Q6_8	0.529	0.017	0.017	0.046	0.046
214	Q4_9	~~	Q4_11	0.515	0.019	0.019	0.045	0.045
261	Q4_15	~~	Q6_2	0.495	0.017	0.017	0.041	0.041
355	Q5_6	~~	Q6_11	0.494	0.017	0.017	0.046	0.046
239	Q4_11	~~	Q5_5	0.490	-0.018	-0.018	-0.039	-0.039
95	EL	=~	Q7_7	0.474	-0.089	-0.057	-0.053	-0.053
170	Q4_3	~~	Q7_8	0.457	-0.012	-0.012	-0.037	-0.037
250	Q4_11	~~	Q7_2	0.452	0.015	0.015	0.042	0.042
283	Q4_18	~~	Q6_8	0.450	0.010	0.010	0.043	0.043
114	SC	=~	Q7_2	0.441	0.111	0.047	0.053	0.053
167	Q4_3	~~	Q7_7	0.439	0.016	0.016	0.037	0.037
308	Q5_2	~~	Q5_5	0.434	-0.028	-0.028	-0.051	-0.051
334	Q5_3	~~	Q7_5	0.422	0.019	0.019	0.042	0.042
388	Q6_2	~~	Q7_7	0.415	0.019	0.019	0.037	0.037
306	Q5_1	~~	Q7_8	0.412	-0.017	-0.017	-0.038	-0.038
401	Q6_5	~~	Q7_8	0.397	0.021	0.021	0.036	0.036
187	Q4_4	~~	Q7_7	0.388	-0.015	-0.015	-0.034	-0.034
316	Q5_2	~~	Q6_11	0.377	0.018	0.018	0.041	0.041
257	Q4_15	~~	Q5_5	0.375	0.017	0.017	0.035	0.035
223	Q4_9	~~	Q7_14	0.368	0.020	0.020	0.034	0.034
232	Q4_9	~~	Q7_5	0.366	0.016	0.016	0.038	0.038
427	Q7_7	~~	Q7_2	0.355	-0.017	-0.017	-0.038	-0.038
168	Q4_3	~~	Q7_2	0.354	-0.011	-0.011	-0.035	-0.035
415	Q6_7	~~	Q7_5	0.347	0.011	0.011	0.044	0.044
270	Q4_15	~~	Q7_5	0.334	-0.013	-0.013	-0.037	-0.037
227	Q4_9	~~	Q6_7	0.333	0.012	0.012	0.041	0.041
363	Q5_12	~~	Q6_5	0.324	0.024	0.024	0.034	0.034
231	Q4_9	~~	Q7_4	0.318	-0.016	-0.016	-0.034	-0.034
351	Q5_6	~~	Q6_5	0.313	0.020	0.020	0.035	0.035
216	Q4_9	~~	Q4_18	0.296	-0.012	-0.012	-0.040	-0.040
409	Q6_6	~~	Q7_8	0.294	-0.010	-0.010	-0.034	-0.034
353	Q5_6	~~	Q6_7	0.289	-0.010	-0.010	-0.041	-0.041
286	Q4_18	~~	Q7_2	0.283	0.009	0.009	0.035	0.035
311	Q5_2	~~	Q6_2	0.278	0.015	0.015	0.032	0.032
404	Q6_6	~~	Q6_11	0.277	0.010	0.010	0.036	0.036
412	Q6_7	~~	Q7_7	0.274	0.013	0.013	0.040	0.040
206	Q4_5	~~	Q6_7	0.265	0.009	0.009	0.038	0.038
125	IN	=~	Q5_1	0.256	0.060	0.035	0.037	0.037
178	Q4_4	~~	Q5_5	0.254	0.011	0.011	0.025	0.025
337	Q5_5	~~	Q6_2	0.249	-0.014	-0.014	-0.026	-0.026
413	Q6_7	~~	Q7_2	0.245	-0.009	-0.009	-0.036	-0.036
299	Q5_1	~~	Q6_7	0.235	-0.010	-0.010	-0.034	-0.034
221	Q4_9	~~	Q5_6	0.234	-0.012	-0.012	-0.030	-0.030
241	Q4_11	~~	Q5_12	0.232	-0.013	-0.013	-0.029	-0.029
312	Q5_2	~~	Q6_5	0.232	-0.020	-0.020	-0.030	-0.030
97	EL	=~	Q7_4	0.216	-0.050	-0.032	-0.034	-0.034
237	Q4_11	~~	Q5_2	0.210	-0.012	-0.012	-0.029	-0.029
195	Q4_5	~~	Q4_18	0.206	-0.009	-0.009	-0.034	-0.034
238	Q4_11	~~	Q5_3	0.200	0.013	0.013	0.028	0.028
373	Q7_14	~~	Q6_2	0.200	-0.014	-0.014	-0.024	-0.024
410	Q6_7	~~	Q6_8	0.198	0.008	0.008	0.040	0.040
302	Q5_1	~~	Q7_7	0.190	0.014	0.014	0.026	0.026
124	IN	=~	Q4_18	0.182	0.036	0.021	0.027	0.027
346	Q5_5	~~	Q7_5	0.180	0.011	0.011	0.024	0.024
422	Q6_8	~~	Q7_8	0.180	0.008	0.008	0.025	0.025
336	Q5_5	~~	Q5_12	0.176	0.014	0.014	0.024	0.024
152	Q4_3	~~	Q4_11	0.174	-0.008	-0.008	-0.025	-0.025
342	Q5_5	~~	Q6_11	0.164	-0.011	-0.011	-0.023	-0.023
345	Q5_5	~~	Q7_4	0.141	0.012	0.012	0.021	0.021
160	Q4_3	~~	Q5_12	0.137	0.008	0.008	0.021	0.021
416	Q6_7	~~	Q7_8	0.135	-0.007	-0.007	-0.026	-0.026
116	SC	=~	Q7_5	0.133	-0.065	-0.028	-0.029	-0.029
255	Q4_15	~~	Q5_2	0.132	0.010	0.010	0.024	0.024
208	Q4_5	~~	Q6_11	0.124	0.008	0.008	0.023	0.023
280	Q4_18	~~	Q6_5	0.118	0.009	0.009	0.022	0.022
135	EN	=~	Q4_3	0.111	0.031	0.021	0.025	0.025
122	IN	=~	Q4_11	0.109	0.040	0.024	0.025	0.025
192	Q4_5	~~	Q4_9	0.106	-0.008	-0.008	-0.022	-0.022
205	Q4_5	~~	Q6_6	0.104	0.006	0.006	0.022	0.022
118	IN	=~	Q4_3	0.102	0.028	0.017	0.020	0.020
321	Q5_3	~~	Q5_5	0.100	0.012	0.012	0.021	0.021
292	Q5_1	~~	Q5_5	0.095	-0.010	-0.010	-0.018	-0.018
428	Q7_7	~~	Q7_4	0.094	-0.010	-0.010	-0.019	-0.019
359	Q5_6	~~	Q7_5	0.091	-0.007	-0.007	-0.020	-0.020
296	Q5_1	~~	Q6_2	0.086	0.008	0.008	0.016	0.016
230	Q4_9	~~	Q7_7	0.085	-0.009	-0.009	-0.017	-0.017
148	EN	=~	Q6_6	0.085	0.026	0.017	0.022	0.022
402	Q6_6	~~	Q6_7	0.079	0.006	0.006	0.030	0.030
217	Q4_9	~~	Q5_1	0.078	0.008	0.008	0.017	0.017
111	SC	=~	Q6_8	0.077	-0.027	-0.011	-0.014	-0.014
332	Q5_3	~~	Q7_2	0.064	-0.007	-0.007	-0.016	-0.016
120	IN	=~	Q4_5	0.063	0.025	0.015	0.017	0.017
331	Q5_3	~~	Q7_7	0.063	-0.009	-0.009	-0.016	-0.016
109	SC	=~	Q6_6	0.060	0.024	0.010	0.013	0.013
370	Q5_12	~~	Q7_4	0.059	0.008	0.008	0.015	0.015
254	Q4_15	~~	Q5_1	0.056	-0.006	-0.006	-0.015	-0.015
275	Q4_18	~~	Q5_5	0.056	-0.005	-0.005	-0.014	-0.014
126	IN	=~	Q5_2	0.055	-0.026	-0.015	-0.015	-0.015
350	Q5_6	~~	Q6_2	0.052	0.006	0.006	0.014	0.014
340	Q5_5	~~	Q6_7	0.051	-0.005	-0.005	-0.015	-0.015
163	Q4_3	~~	Q6_5	0.050	-0.006	-0.006	-0.012	-0.012
432	Q7_2	~~	Q7_8	0.049	0.005	0.005	0.014	0.014
132	IN	=~	Q7_4	0.047	-0.030	-0.018	-0.019	-0.019
338	Q5_5	~~	Q6_5	0.045	0.009	0.009	0.012	0.012
147	EN	=~	Q6_5	0.044	0.033	0.022	0.020	0.020
288	Q4_18	~~	Q7_5	0.043	0.004	0.004	0.014	0.014
277	Q4_18	~~	Q5_12	0.037	0.004	0.004	0.012	0.012
100	SC	=~	Q4_3	0.036	-0.021	-0.009	-0.010	-0.010
403	Q6_6	~~	Q6_8	0.035	0.003	0.003	0.014	0.014
92	EL	=~	Q6_7	0.034	-0.016	-0.010	-0.012	-0.012
99	EL	=~	Q7_8	0.032	0.017	0.011	0.012	0.012
153	Q4_3	~~	Q4_15	0.031	0.004	0.004	0.011	0.011
127	IN	=~	Q5_3	0.030	-0.019	-0.011	-0.011	-0.011
425	Q6_11	~~	Q7_4	0.025	-0.005	-0.005	-0.010	-0.010
267	Q4_15	~~	Q7_7	0.023	-0.004	-0.004	-0.009	-0.009
362	Q5_12	~~	Q6_2	0.021	-0.004	-0.004	-0.008	-0.008
304	Q5_1	~~	Q7_4	0.021	0.004	0.004	0.009	0.009
219	Q4_9	~~	Q5_3	0.020	0.004	0.004	0.009	0.009
384	Q6_2	~~	Q6_5	0.018	-0.005	-0.005	-0.008	-0.008
374	Q7_14	~~	Q6_5	0.017	0.006	0.006	0.007	0.007
123	IN	=~	Q4_15	0.017	0.013	0.008	0.009	0.009
303	Q5_1	~~	Q7_2	0.016	-0.003	-0.003	-0.008	-0.008
146	EN	=~	Q6_2	0.016	-0.014	-0.009	-0.010	-0.010
143	EN	=~	Q5_5	0.014	0.017	0.011	0.011	0.011
220	Q4_9	~~	Q5_5	0.014	-0.003	-0.003	-0.006	-0.006
408	Q6_6	~~	Q7_5	0.013	0.002	0.002	0.008	0.008
393	Q6_5	~~	Q6_6	0.009	-0.003	-0.003	-0.006	-0.006
113	SC	=~	Q7_7	0.008	-0.022	-0.009	-0.009	-0.009
301	Q5_1	~~	Q6_11	0.007	-0.002	-0.002	-0.005	-0.005
376	Q7_14	~~	Q6_7	0.006	0.002	0.002	0.005	0.005
194	Q4_5	~~	Q4_15	0.006	-0.002	-0.002	-0.005	-0.005
88	EL	=~	Q7_14	0.005	0.009	0.006	0.005	0.005
284	Q4_18	~~	Q6_11	0.004	-0.001	-0.001	-0.005	-0.005
371	Q5_12	~~	Q7_5	0.004	0.002	0.002	0.004	0.004
218	Q4_9	~~	Q5_2	0.004	0.002	0.002	0.004	0.004
158	Q4_3	~~	Q5_5	0.003	0.001	0.001	0.003	0.003
229	Q4_9	~~	Q6_11	0.002	-0.001	-0.001	-0.003	-0.003
322	Q5_3	~~	Q5_6	0.001	0.001	0.001	0.003	0.003
121	IN	=~	Q4_9	0.001	-0.003	-0.002	-0.002	-0.002
382	Q7_14	~~	Q7_5	0.000	0.000	0.000	-0.001	-0.001
202	Q4_5	~~	Q7_14	0.000	0.000	0.000	-0.001	-0.001
375	Q7_14	~~	Q6_6	0.000	0.000	0.000	-0.001	-0.001

DWLS

Initial Model

mod1 <- "
EL =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12
IN =~ Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN
"

fit1 <- lavaan::cfa(mod1, data=mydata, ordered=T)

Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -4.812604e-18) is smaller than zero. This may be a symptom that
    the model is not identified.

summary(fit1, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 69 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                        196
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                              2418.115    2135.032
  Degrees of freedom                               659         659
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  1.409
  Shift parameter                                          418.362
       simple second-order correction                             

Model Test Baseline Model:

  Test statistic                            105417.247   16551.218
  Degrees of freedom                               703         703
  P-value                                        0.000       0.000
  Scaling correction factor                                  6.607

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.983       0.907
  Tucker-Lewis Index (TLI)                       0.982       0.901
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.093       0.085
  90 Percent confidence interval - lower         0.089       0.081
  90 Percent confidence interval - upper         0.097       0.089
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.074       0.074

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_1              1.000                               0.818    0.818
    Q4_2              0.961    0.030   32.295    0.000    0.786    0.786
    Q4_3              1.040    0.029   36.428    0.000    0.850    0.850
    Q4_4              1.043    0.028   37.591    0.000    0.853    0.853
    Q4_5              0.981    0.033   29.620    0.000    0.802    0.802
    Q4_8              0.954    0.035   27.564    0.000    0.780    0.780
    Q4_9              0.920    0.037   25.167    0.000    0.752    0.752
    Q4_10             1.009    0.031   32.551    0.000    0.825    0.825
    Q4_11             1.017    0.033   31.152    0.000    0.832    0.832
    Q4_15             0.960    0.030   31.834    0.000    0.785    0.785
    Q4_16             0.914    0.031   29.027    0.000    0.747    0.747
    Q4_17             0.813    0.039   20.918    0.000    0.665    0.665
    Q4_18             1.046    0.029   36.038    0.000    0.855    0.855
  SC =~                                                                 
    Q5_1              1.000                               0.778    0.778
    Q5_2              0.866    0.046   18.736    0.000    0.674    0.674
    Q5_3              0.927    0.052   17.786    0.000    0.721    0.721
    Q5_4              1.057    0.046   22.833    0.000    0.822    0.822
    Q5_5              1.085    0.045   24.149    0.000    0.844    0.844
    Q5_6              1.033    0.049   21.191    0.000    0.804    0.804
    Q5_8              1.005    0.051   19.593    0.000    0.782    0.782
    Q5_12             1.018    0.051   19.822    0.000    0.792    0.792
  IN =~                                                                 
    Q6_1              1.000                               0.757    0.757
    Q6_2              1.110    0.045   24.613    0.000    0.840    0.840
    Q6_3              1.060    0.049   21.673    0.000    0.803    0.803
    Q6_4              1.066    0.046   23.026    0.000    0.806    0.806
    Q6_5              0.731    0.056   12.943    0.000    0.553    0.553
    Q6_6              1.126    0.052   21.717    0.000    0.852    0.852
    Q6_7              1.192    0.058   20.543    0.000    0.902    0.902
    Q6_8              1.121    0.052   21.584    0.000    0.848    0.848
    Q6_11             1.129    0.062   18.324    0.000    0.854    0.854
  EN =~                                                                 
    Q7_2              1.000                               0.826    0.826
    Q7_4              0.846    0.038   22.146    0.000    0.699    0.699
    Q7_5              0.954    0.038   24.957    0.000    0.788    0.788
    Q7_7              0.845    0.044   19.242    0.000    0.698    0.698
    Q7_8              0.966    0.040   24.270    0.000    0.798    0.798
    Q7_12             0.849    0.044   19.253    0.000    0.701    0.701
    Q7_13             0.489    0.055    8.951    0.000    0.404    0.404
    Q7_14             0.812    0.046   17.715    0.000    0.671    0.671

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.382    0.031   12.362    0.000    0.600    0.600
    IN                0.441    0.033   13.331    0.000    0.713    0.713
    EN                0.484    0.028   17.118    0.000    0.716    0.716
  SC ~~                                                                 
    IN                0.353    0.033   10.626    0.000    0.600    0.600
    EN                0.484    0.032   14.992    0.000    0.753    0.753
  IN ~~                                                                 
    EN                0.450    0.034   13.066    0.000    0.720    0.720

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Q4_1              0.000                               0.000    0.000
   .Q4_2              0.000                               0.000    0.000
   .Q4_3              0.000                               0.000    0.000
   .Q4_4              0.000                               0.000    0.000
   .Q4_5              0.000                               0.000    0.000
   .Q4_8              0.000                               0.000    0.000
   .Q4_9              0.000                               0.000    0.000
   .Q4_10             0.000                               0.000    0.000
   .Q4_11             0.000                               0.000    0.000
   .Q4_15             0.000                               0.000    0.000
   .Q4_16             0.000                               0.000    0.000
   .Q4_17             0.000                               0.000    0.000
   .Q4_18             0.000                               0.000    0.000
   .Q5_1              0.000                               0.000    0.000
   .Q5_2              0.000                               0.000    0.000
   .Q5_3              0.000                               0.000    0.000
   .Q5_4              0.000                               0.000    0.000
   .Q5_5              0.000                               0.000    0.000
   .Q5_6              0.000                               0.000    0.000
   .Q5_8              0.000                               0.000    0.000
   .Q5_12             0.000                               0.000    0.000
   .Q6_1              0.000                               0.000    0.000
   .Q6_2              0.000                               0.000    0.000
   .Q6_3              0.000                               0.000    0.000
   .Q6_4              0.000                               0.000    0.000
   .Q6_5              0.000                               0.000    0.000
   .Q6_6              0.000                               0.000    0.000
   .Q6_7              0.000                               0.000    0.000
   .Q6_8              0.000                               0.000    0.000
   .Q6_11             0.000                               0.000    0.000
   .Q7_2              0.000                               0.000    0.000
   .Q7_4              0.000                               0.000    0.000
   .Q7_5              0.000                               0.000    0.000
   .Q7_7              0.000                               0.000    0.000
   .Q7_8              0.000                               0.000    0.000
   .Q7_12             0.000                               0.000    0.000
   .Q7_13             0.000                               0.000    0.000
   .Q7_14             0.000                               0.000    0.000
    EL                0.000                               0.000    0.000
    SC                0.000                               0.000    0.000
    IN                0.000                               0.000    0.000
    EN                0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Q4_1|t1          -1.062    0.088  -12.101    0.000   -1.062   -1.062
    Q4_1|t2           0.153    0.071    2.147    0.032    0.153    0.153
    Q4_1|t3           1.449    0.106   13.658    0.000    1.449    1.449
    Q4_1|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q4_2|t1          -0.993    0.085  -11.632    0.000   -0.993   -0.993
    Q4_2|t2           0.521    0.075    6.972    0.000    0.521    0.521
    Q4_2|t3           1.732    0.127   13.613    0.000    1.732    1.732
    Q4_2|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q4_3|t1          -1.198    0.093  -12.870    0.000   -1.198   -1.198
    Q4_3|t2           0.040    0.071    0.565    0.572    0.040    0.040
    Q4_3|t3           1.449    0.106   13.658    0.000    1.449    1.449
    Q4_3|t4           2.006    0.157   12.746    0.000    2.006    2.006
    Q4_4|t1          -1.150    0.091  -12.627    0.000   -1.150   -1.150
    Q4_4|t2          -0.153    0.071   -2.147    0.032   -0.153   -0.153
    Q4_4|t3           1.426    0.105   13.620    0.000    1.426    1.426
    Q4_4|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q4_5|t1          -0.930    0.083  -11.142    0.000   -0.930   -0.930
    Q4_5|t2           0.448    0.074    6.082    0.000    0.448    0.448
    Q4_5|t3           1.383    0.102   13.529    0.000    1.383    1.383
    Q4_5|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q4_8|t1          -0.812    0.080  -10.117    0.000   -0.812   -0.812
    Q4_8|t2           0.457    0.074    6.194    0.000    0.457    0.457
    Q4_8|t3           1.547    0.113   13.751    0.000    1.547    1.547
    Q4_8|t4           2.341    0.215   10.896    0.000    2.341    2.341
    Q4_9|t1          -0.955    0.084  -11.340    0.000   -0.955   -0.955
    Q4_9|t2           0.235    0.072    3.275    0.001    0.235    0.235
    Q4_9|t3           1.090    0.089   12.282    0.000    1.090    1.090
    Q4_9|t4           2.070    0.166   12.448    0.000    2.070    2.070
    Q4_10|t1         -1.198    0.093  -12.870    0.000   -1.198   -1.198
    Q4_10|t2         -0.227    0.072   -3.163    0.002   -0.227   -0.227
    Q4_10|t3          1.603    0.117   13.751    0.000    1.603    1.603
    Q4_10|t4          2.232    0.193   11.570    0.000    2.232    2.232
    Q4_11|t1         -1.007    0.086  -11.727    0.000   -1.007   -1.007
    Q4_11|t2          0.032    0.071    0.452    0.651    0.032    0.032
    Q4_11|t3          1.150    0.091   12.627    0.000    1.150    1.150
    Q4_11|t4          2.006    0.157   12.746    0.000    2.006    2.006
    Q4_15|t1         -0.905    0.083  -10.941    0.000   -0.905   -0.905
    Q4_15|t2          0.302    0.072    4.176    0.000    0.302    0.302
    Q4_15|t3          1.342    0.100   13.421    0.000    1.342    1.342
    Q4_15|t4          2.489    0.251    9.915    0.000    2.489    2.489
    Q4_16|t1         -0.823    0.081  -10.222    0.000   -0.823   -0.823
    Q4_16|t2          0.170    0.071    2.373    0.018    0.170    0.170
    Q4_16|t3          1.304    0.098   13.300    0.000    1.304    1.304
    Q4_16|t4          2.341    0.215   10.896    0.000    2.341    2.341
    Q4_17|t1         -0.539    0.075   -7.194    0.000   -0.539   -0.539
    Q4_17|t2          0.521    0.075    6.972    0.000    0.521    0.521
    Q4_17|t3          1.362    0.101   13.477    0.000    1.362    1.362
    Q4_17|t4          2.726    0.330    8.259    0.000    2.726    2.726
    Q4_18|t1         -1.105    0.089  -12.370    0.000   -1.105   -1.105
    Q4_18|t2          0.413    0.073    5.635    0.000    0.413    0.413
    Q4_18|t3          1.521    0.111   13.738    0.000    1.521    1.521
    Q4_18|t4          2.489    0.251    9.915    0.000    2.489    2.489
    Q5_1|t1          -1.076    0.088  -12.192    0.000   -1.076   -1.076
    Q5_1|t2           0.008    0.071    0.113    0.910    0.008    0.008
    Q5_1|t3           1.020    0.086   11.822    0.000    1.020    1.020
    Q5_1|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q5_2|t1          -1.323    0.099  -13.362    0.000   -1.323   -1.323
    Q5_2|t2          -0.521    0.075   -6.972    0.000   -0.521   -0.521
    Q5_2|t3           0.502    0.074    6.750    0.000    0.502    0.502
    Q5_2|t4           1.697    0.124   13.669    0.000    1.697    1.697
    Q5_3|t1          -1.020    0.086  -11.822    0.000   -1.020   -1.020
    Q5_3|t2          -0.048    0.071   -0.678    0.498   -0.048   -0.048
    Q5_3|t3           0.881    0.082   10.738    0.000    0.881    0.881
    Q5_3|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q5_4|t1          -1.404    0.103  -13.577    0.000   -1.404   -1.404
    Q5_4|t2          -0.835    0.081  -10.326    0.000   -0.835   -0.835
    Q5_4|t3          -0.310    0.072   -4.289    0.000   -0.310   -0.310
    Q5_4|t4           1.182    0.092   12.791    0.000    1.182    1.182
    Q5_5|t1          -1.521    0.111  -13.738    0.000   -1.521   -1.521
    Q5_5|t2          -0.823    0.081  -10.222    0.000   -0.823   -0.823
    Q5_5|t3          -0.302    0.072   -4.176    0.000   -0.302   -0.302
    Q5_5|t4           1.267    0.096   13.166    0.000    1.267    1.267
    Q5_6|t1          -1.449    0.106  -13.658    0.000   -1.449   -1.449
    Q5_6|t2          -0.457    0.074   -6.194    0.000   -0.457   -0.457
    Q5_6|t3           0.812    0.080   10.117    0.000    0.812    0.812
    Q5_6|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q5_8|t1          -1.120    0.090  -12.457    0.000   -1.120   -1.120
    Q5_8|t2          -0.378    0.073   -5.187    0.000   -0.378   -0.378
    Q5_8|t3           0.586    0.076    7.746    0.000    0.586    0.586
    Q5_8|t4           1.664    0.121   13.709    0.000    1.664    1.664
    Q5_12|t1         -1.120    0.090  -12.457    0.000   -1.120   -1.120
    Q5_12|t2         -0.466    0.074   -6.305    0.000   -0.466   -0.466
    Q5_12|t3          0.801    0.080   10.012    0.000    0.801    0.801
    Q5_12|t4          1.697    0.124   13.669    0.000    1.697    1.697
    Q6_1|t1           0.000    0.071    0.000    1.000    0.000    0.000
    Q6_1|t2           1.198    0.093   12.870    0.000    1.198    1.198
    Q6_1|t3           1.633    0.119   13.736    0.000    1.633    1.633
    Q6_1|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q6_2|t1          -0.605    0.076   -7.965    0.000   -0.605   -0.605
    Q6_2|t2           0.790    0.080    9.907    0.000    0.790    0.790
    Q6_2|t3           1.362    0.101   13.477    0.000    1.362    1.362
    Q6_2|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q6_3|t1          -0.484    0.074   -6.528    0.000   -0.484   -0.484
    Q6_3|t2           0.801    0.080   10.012    0.000    0.801    0.801
    Q6_3|t3           1.426    0.105   13.620    0.000    1.426    1.426
    Q6_3|t4           2.070    0.166   12.448    0.000    2.070    2.070
    Q6_4|t1          -0.625    0.076   -8.185    0.000   -0.625   -0.625
    Q6_4|t2           0.596    0.076    7.856    0.000    0.596    0.596
    Q6_4|t3           1.426    0.105   13.620    0.000    1.426    1.426
    Q6_4|t4           2.006    0.157   12.746    0.000    2.006    2.006
    Q6_5|t1          -0.779    0.079   -9.801    0.000   -0.779   -0.779
    Q6_5|t2           0.293    0.072    4.064    0.000    0.293    0.293
    Q6_5|t3           0.905    0.083   10.941    0.000    0.905    0.905
    Q6_5|t4           1.732    0.127   13.613    0.000    1.732    1.732
    Q6_6|t1          -0.353    0.073   -4.851    0.000   -0.353   -0.353
    Q6_6|t2           1.120    0.090   12.457    0.000    1.120    1.120
    Q6_6|t3           1.732    0.127   13.613    0.000    1.732    1.732
    Q6_6|t4           2.489    0.251    9.915    0.000    2.489    2.489
    Q6_7|t1          -0.674    0.077   -8.729    0.000   -0.674   -0.674
    Q6_7|t2           0.558    0.075    7.415    0.000    0.558    0.558
    Q6_7|t3           1.521    0.111   13.738    0.000    1.521    1.521
    Q6_7|t4           2.341    0.215   10.896    0.000    2.341    2.341
    Q6_8|t1          -0.846    0.081  -10.430    0.000   -0.846   -0.846
    Q6_8|t2           0.577    0.076    7.636    0.000    0.577    0.577
    Q6_8|t3           1.574    0.114   13.756    0.000    1.574    1.574
    Q6_8|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q6_11|t1         -1.047    0.087  -12.009    0.000   -1.047   -1.047
    Q6_11|t2         -0.370    0.073   -5.075    0.000   -0.370   -0.370
    Q6_11|t3          0.980    0.085   11.535    0.000    0.980    0.980
    Q6_11|t4          1.898    0.144   13.171    0.000    1.898    1.898
    Q7_2|t1          -1.076    0.088  -12.192    0.000   -1.076   -1.076
    Q7_2|t2          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_2|t3           1.215    0.094   12.947    0.000    1.215    1.215
    Q7_2|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q7_4|t1          -1.267    0.096  -13.166    0.000   -1.267   -1.267
    Q7_4|t2          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_4|t3           0.869    0.082   10.636    0.000    0.869    0.869
    Q7_4|t4           1.851    0.139   13.323    0.000    1.851    1.851
    Q7_5|t1          -1.182    0.092  -12.791    0.000   -1.182   -1.182
    Q7_5|t2          -0.530    0.075   -7.083    0.000   -0.530   -0.530
    Q7_5|t3           0.980    0.085   11.535    0.000    0.980    0.980
    Q7_5|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q7_7|t1          -1.547    0.113  -13.751    0.000   -1.547   -1.547
    Q7_7|t2          -0.917    0.083  -11.041    0.000   -0.917   -0.917
    Q7_7|t3          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_7|t4           1.062    0.088   12.101    0.000    1.062    1.062
    Q7_8|t1          -1.285    0.097  -13.235    0.000   -1.285   -1.285
    Q7_8|t2          -0.493    0.074   -6.639    0.000   -0.493   -0.493
    Q7_8|t3           0.893    0.082   10.840    0.000    0.893    0.893
    Q7_8|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q7_12|t1         -1.449    0.106  -13.658    0.000   -1.449   -1.449
    Q7_12|t2         -0.930    0.083  -11.142    0.000   -0.930   -0.930
    Q7_12|t3         -0.016    0.071   -0.226    0.821   -0.016   -0.016
    Q7_12|t4          1.150    0.091   12.627    0.000    1.150    1.150
    Q7_13|t1         -1.574    0.114  -13.756    0.000   -1.574   -1.574
    Q7_13|t2         -0.893    0.082  -10.840    0.000   -0.893   -0.893
    Q7_13|t3         -0.137    0.071   -1.921    0.055   -0.137   -0.137
    Q7_13|t4          0.905    0.083   10.941    0.000    0.905    0.905
    Q7_14|t1         -1.633    0.119  -13.736    0.000   -1.633   -1.633
    Q7_14|t2         -1.007    0.086  -11.727    0.000   -1.007   -1.007
    Q7_14|t3         -0.277    0.072   -3.839    0.000   -0.277   -0.277
    Q7_14|t4          0.993    0.085   11.632    0.000    0.993    0.993

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.669    0.034   19.841    0.000    1.000    1.000
    SC                0.605    0.047   12.996    0.000    1.000    1.000
    IN                0.573    0.051   11.214    0.000    1.000    1.000
    EN                0.682    0.043   15.904    0.000    1.000    1.000
   .Q4_1              0.331                               0.331    0.331
   .Q4_2              0.382                               0.382    0.382
   .Q4_3              0.277                               0.277    0.277
   .Q4_4              0.272                               0.272    0.272
   .Q4_5              0.357                               0.357    0.357
   .Q4_8              0.391                               0.391    0.391
   .Q4_9              0.434                               0.434    0.434
   .Q4_10             0.319                               0.319    0.319
   .Q4_11             0.308                               0.308    0.308
   .Q4_15             0.384                               0.384    0.384
   .Q4_16             0.442                               0.442    0.442
   .Q4_17             0.558                               0.558    0.558
   .Q4_18             0.269                               0.269    0.269
   .Q5_1              0.395                               0.395    0.395
   .Q5_2              0.546                               0.546    0.546
   .Q5_3              0.480                               0.480    0.480
   .Q5_4              0.324                               0.324    0.324
   .Q5_5              0.287                               0.287    0.287
   .Q5_6              0.354                               0.354    0.354
   .Q5_8              0.389                               0.389    0.389
   .Q5_12             0.372                               0.372    0.372
   .Q6_1              0.427                               0.427    0.427
   .Q6_2              0.295                               0.295    0.295
   .Q6_3              0.356                               0.356    0.356
   .Q6_4              0.350                               0.350    0.350
   .Q6_5              0.694                               0.694    0.694
   .Q6_6              0.273                               0.273    0.273
   .Q6_7              0.187                               0.187    0.187
   .Q6_8              0.280                               0.280    0.280
   .Q6_11             0.270                               0.270    0.270
   .Q7_2              0.318                               0.318    0.318
   .Q7_4              0.512                               0.512    0.512
   .Q7_5              0.379                               0.379    0.379
   .Q7_7              0.513                               0.513    0.513
   .Q7_8              0.364                               0.364    0.364
   .Q7_12             0.508                               0.508    0.508
   .Q7_13             0.837                               0.837    0.837
   .Q7_14             0.550                               0.550    0.550

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Q4_1              1.000                               1.000    1.000
    Q4_2              1.000                               1.000    1.000
    Q4_3              1.000                               1.000    1.000
    Q4_4              1.000                               1.000    1.000
    Q4_5              1.000                               1.000    1.000
    Q4_8              1.000                               1.000    1.000
    Q4_9              1.000                               1.000    1.000
    Q4_10             1.000                               1.000    1.000
    Q4_11             1.000                               1.000    1.000
    Q4_15             1.000                               1.000    1.000
    Q4_16             1.000                               1.000    1.000
    Q4_17             1.000                               1.000    1.000
    Q4_18             1.000                               1.000    1.000
    Q5_1              1.000                               1.000    1.000
    Q5_2              1.000                               1.000    1.000
    Q5_3              1.000                               1.000    1.000
    Q5_4              1.000                               1.000    1.000
    Q5_5              1.000                               1.000    1.000
    Q5_6              1.000                               1.000    1.000
    Q5_8              1.000                               1.000    1.000
    Q5_12             1.000                               1.000    1.000
    Q6_1              1.000                               1.000    1.000
    Q6_2              1.000                               1.000    1.000
    Q6_3              1.000                               1.000    1.000
    Q6_4              1.000                               1.000    1.000
    Q6_5              1.000                               1.000    1.000
    Q6_6              1.000                               1.000    1.000
    Q6_7              1.000                               1.000    1.000
    Q6_8              1.000                               1.000    1.000
    Q6_11             1.000                               1.000    1.000
    Q7_2              1.000                               1.000    1.000
    Q7_4              1.000                               1.000    1.000
    Q7_5              1.000                               1.000    1.000
    Q7_7              1.000                               1.000    1.000
    Q7_8              1.000                               1.000    1.000
    Q7_12             1.000                               1.000    1.000
    Q7_13             1.000                               1.000    1.000
    Q7_14             1.000                               1.000    1.000

Local Fit Assessment

# Residual Analysis
out <- residuals(fit1, type="cor.bollen")
kable(out[[2]], format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	Q4_1	Q4_2	Q4_3	Q4_4	Q4_5	Q4_8	Q4_9	Q4_10	Q4_11	Q4_15	Q4_16	Q4_17	Q4_18	Q5_1	Q5_2	Q5_3	Q5_4	Q5_5	Q5_6	Q5_8	Q5_12	Q6_1	Q6_2	Q6_3	Q6_4	Q6_5	Q6_6	Q6_7	Q6_8	Q6_11	Q7_2	Q7_4	Q7_5	Q7_7	Q7_8	Q7_12	Q7_13	Q7_14
Q4_1	0.000	0.092	0.092	0.031	-0.079	-0.106	-0.108	0.029	-0.037	-0.054	-0.028	-0.039	0.008	0.066	-0.020	0.030	-0.094	-0.058	0.023	-0.054	-0.009	0.035	-0.030	-0.046	-0.086	0.019	-0.029	-0.037	-0.033	0.042	-0.045	0.063	-0.072	-0.026	0.013	-0.071	0.057	-0.056
Q4_2	0.092	0.000	0.079	0.027	0.020	0.005	-0.105	-0.058	-0.039	-0.011	-0.082	-0.062	0.094	0.080	-0.068	0.001	-0.193	-0.179	-0.007	-0.109	-0.061	-0.017	-0.027	-0.051	-0.076	0.009	-0.009	-0.005	-0.006	0.011	-0.089	-0.003	-0.030	-0.117	-0.039	-0.088	0.007	-0.085
Q4_3	0.092	0.079	0.000	0.076	-0.053	-0.085	-0.133	-0.014	-0.076	-0.039	-0.004	-0.086	0.014	0.099	-0.073	0.010	-0.174	-0.140	-0.055	-0.082	-0.003	0.011	-0.072	-0.083	-0.074	-0.015	0.005	-0.063	-0.033	0.050	-0.034	0.008	-0.119	-0.050	-0.042	-0.012	0.048	-0.036
Q4_4	0.031	0.027	0.076	0.000	-0.009	-0.022	-0.086	0.014	-0.025	-0.087	-0.101	-0.070	0.002	0.014	-0.078	-0.003	-0.138	-0.088	0.046	-0.017	-0.011	-0.089	-0.047	-0.060	-0.057	-0.018	0.018	-0.054	-0.045	0.093	0.069	0.098	-0.011	-0.012	0.066	-0.066	-0.035	-0.034
Q4_5	-0.079	0.020	-0.053	-0.009	0.000	0.102	0.014	0.011	-0.007	-0.010	-0.075	0.025	-0.009	0.074	-0.016	0.092	-0.128	-0.116	0.059	0.056	0.016	-0.025	0.022	-0.037	-0.086	-0.006	0.003	0.030	-0.023	0.052	0.051	-0.024	-0.033	0.013	0.050	-0.140	-0.185	-0.053
Q4_8	-0.106	0.005	-0.085	-0.022	0.102	0.000	0.074	-0.030	-0.056	0.010	-0.052	-0.023	-0.018	0.074	-0.024	0.065	-0.143	-0.067	0.037	0.048	0.034	0.006	-0.046	-0.025	-0.003	0.039	0.066	0.063	0.038	-0.005	0.040	-0.011	0.024	-0.085	0.093	-0.079	-0.073	-0.067
Q4_9	-0.108	-0.105	-0.133	-0.086	0.014	0.074	0.000	-0.017	-0.004	0.010	-0.099	-0.007	0.002	0.125	0.048	0.064	-0.066	-0.034	0.030	0.004	0.127	0.025	-0.014	-0.039	-0.031	0.040	-0.041	0.032	-0.046	0.019	0.174	0.010	0.030	-0.002	0.082	0.106	0.042	-0.019
Q4_10	0.029	-0.058	-0.014	0.014	0.011	-0.030	-0.017	0.000	-0.053	-0.045	-0.003	-0.043	-0.030	0.029	0.002	-0.015	-0.083	-0.060	0.010	-0.007	0.122	-0.002	-0.015	-0.007	-0.079	0.000	0.029	0.050	-0.022	0.104	0.073	0.046	-0.006	0.046	0.055	-0.004	-0.012	0.065
Q4_11	-0.037	-0.039	-0.076	-0.025	-0.007	-0.056	-0.004	-0.053	0.000	-0.115	-0.077	0.007	-0.063	0.152	0.012	0.061	-0.158	-0.087	0.003	-0.018	0.082	0.039	-0.033	-0.033	-0.108	0.094	0.040	0.076	0.071	0.059	0.115	0.057	0.165	0.105	0.122	0.050	0.014	-0.034
Q4_15	-0.054	-0.011	-0.039	-0.087	-0.010	0.010	0.010	-0.045	-0.115	0.000	0.124	0.027	0.040	0.111	0.051	0.111	-0.061	-0.037	0.004	0.012	0.145	0.049	-0.027	-0.015	-0.001	0.042	-0.046	0.032	-0.035	0.045	-0.070	-0.076	-0.068	-0.081	-0.063	-0.014	-0.032	0.053
Q4_16	-0.028	-0.082	-0.004	-0.101	-0.075	-0.052	-0.099	-0.003	-0.077	0.124	0.000	0.087	0.001	0.078	0.041	0.092	-0.040	-0.011	0.028	0.021	0.188	0.101	-0.048	-0.057	-0.024	0.061	-0.022	-0.008	-0.034	0.067	-0.063	0.000	-0.053	-0.027	0.027	-0.026	-0.018	-0.047
Q4_17	-0.039	-0.062	-0.086	-0.070	0.025	-0.023	-0.007	-0.043	0.007	0.027	0.087	0.000	0.074	-0.064	-0.028	-0.041	-0.099	-0.107	-0.041	-0.048	0.070	0.014	-0.028	0.012	-0.006	0.025	0.087	0.082	0.029	0.042	0.066	-0.004	0.029	0.009	0.031	-0.081	-0.068	-0.076
Q4_18	0.008	0.094	0.014	0.002	-0.009	-0.018	0.002	-0.030	-0.063	0.040	0.001	0.074	0.000	0.055	0.014	-0.011	-0.183	-0.125	0.007	-0.059	0.058	-0.013	-0.052	-0.046	-0.089	0.046	0.004	0.060	0.022	0.004	-0.002	0.016	-0.037	-0.147	-0.064	-0.088	-0.082	-0.095
Q5_1	0.066	0.080	0.099	0.014	0.074	0.074	0.125	0.029	0.152	0.111	0.078	-0.064	0.055	0.000	0.051	-0.035	-0.191	-0.214	-0.180	-0.148	-0.201	0.055	0.024	0.033	0.046	-0.004	0.053	0.035	0.059	0.102	0.015	0.001	0.077	0.020	-0.025	0.037	-0.004	-0.013
Q5_2	-0.020	-0.068	-0.073	-0.078	-0.016	-0.024	0.048	0.002	0.012	0.051	0.041	-0.028	0.014	0.051	0.000	0.120	-0.006	-0.018	-0.070	-0.070	-0.135	-0.029	0.021	-0.003	0.082	0.017	0.062	-0.031	0.021	0.105	0.056	-0.049	-0.032	-0.032	-0.133	0.033	-0.005	0.090
Q5_3	0.030	0.001	0.010	-0.003	0.092	0.065	0.064	-0.015	0.061	0.111	0.092	-0.041	-0.011	-0.035	0.120	0.000	-0.036	-0.066	0.005	-0.002	-0.175	0.070	0.034	-0.045	0.050	0.088	-0.060	-0.031	-0.044	0.047	-0.012	-0.059	0.008	-0.034	-0.054	-0.061	-0.099	0.022
Q5_4	-0.094	-0.193	-0.174	-0.138	-0.128	-0.143	-0.066	-0.083	-0.158	-0.061	-0.040	-0.099	-0.183	-0.191	-0.006	-0.036	0.000	0.169	-0.043	0.043	-0.214	-0.199	-0.135	-0.160	-0.071	0.042	-0.124	-0.109	-0.181	0.044	-0.073	-0.050	-0.071	0.056	-0.123	0.019	-0.019	0.093
Q5_5	-0.058	-0.179	-0.140	-0.088	-0.116	-0.067	-0.034	-0.060	-0.087	-0.037	-0.011	-0.107	-0.125	-0.214	-0.018	-0.066	0.169	0.000	-0.017	0.020	-0.224	-0.144	-0.150	-0.177	-0.081	-0.017	-0.144	-0.147	-0.123	0.026	-0.020	-0.088	-0.057	-0.012	-0.119	0.030	0.010	0.110
Q5_6	0.023	-0.007	-0.055	0.046	0.059	0.037	0.030	0.010	0.003	0.004	0.028	-0.041	0.007	-0.180	-0.070	0.005	-0.043	-0.017	0.000	0.122	-0.125	-0.086	-0.043	-0.060	-0.012	0.054	0.011	-0.036	-0.065	0.116	-0.014	0.043	0.017	0.024	0.079	-0.075	-0.122	0.018
Q5_8	-0.054	-0.109	-0.082	-0.017	0.056	0.048	0.004	-0.007	-0.018	0.012	0.021	-0.048	-0.059	-0.148	-0.070	-0.002	0.043	0.020	0.122	0.000	-0.058	-0.079	-0.044	-0.120	0.013	0.006	-0.009	-0.013	-0.057	0.090	-0.017	-0.053	0.007	0.030	0.056	-0.057	-0.124	0.052
Q5_12	-0.009	-0.061	-0.003	-0.011	0.016	0.034	0.127	0.122	0.082	0.145	0.188	0.070	0.058	-0.201	-0.135	-0.175	-0.214	-0.224	-0.125	-0.058	0.000	0.011	0.047	0.010	0.025	0.117	0.083	0.188	0.066	0.131	0.010	0.034	0.043	0.041	0.052	0.022	0.021	0.047
Q6_1	0.035	-0.017	0.011	-0.089	-0.025	0.006	0.025	-0.002	0.039	0.049	0.101	0.014	-0.013	0.055	-0.029	0.070	-0.199	-0.144	-0.086	-0.079	0.011	0.000	0.147	0.114	0.063	-0.037	-0.026	-0.054	-0.014	-0.279	-0.040	-0.116	-0.100	-0.227	-0.147	-0.059	0.084	-0.196
Q6_2	-0.030	-0.027	-0.072	-0.047	0.022	-0.046	-0.014	-0.015	-0.033	-0.027	-0.048	-0.028	-0.052	0.024	0.021	0.034	-0.135	-0.150	-0.043	-0.044	0.047	0.147	0.000	0.087	0.133	-0.106	-0.088	-0.112	0.010	-0.206	-0.046	0.043	-0.048	-0.121	-0.138	-0.118	-0.069	-0.128
Q6_3	-0.046	-0.051	-0.083	-0.060	-0.037	-0.025	-0.039	-0.007	-0.033	-0.015	-0.057	0.012	-0.046	0.033	-0.003	-0.045	-0.160	-0.177	-0.060	-0.120	0.010	0.114	0.087	0.000	0.090	-0.040	0.007	0.039	0.022	-0.175	-0.011	0.001	-0.040	-0.115	-0.073	-0.118	-0.076	-0.088
Q6_4	-0.086	-0.076	-0.074	-0.057	-0.086	-0.003	-0.031	-0.079	-0.108	-0.001	-0.024	-0.006	-0.089	0.046	0.082	0.050	-0.071	-0.081	-0.012	0.013	0.025	0.063	0.133	0.090	0.000	-0.159	-0.044	-0.091	0.058	-0.177	0.005	-0.010	-0.044	-0.086	-0.100	-0.030	0.004	-0.061
Q6_5	0.019	0.009	-0.015	-0.018	-0.006	0.039	0.040	0.000	0.094	0.042	0.061	0.025	0.046	-0.004	0.017	0.088	0.042	-0.017	0.054	0.006	0.117	-0.037	-0.106	-0.040	-0.159	0.000	0.014	0.026	-0.056	-0.055	-0.030	-0.013	-0.005	0.010	0.040	0.019	0.064	-0.015
Q6_6	-0.029	-0.009	0.005	0.018	0.003	0.066	-0.041	0.029	0.040	-0.046	-0.022	0.087	0.004	0.053	0.062	-0.060	-0.124	-0.144	0.011	-0.009	0.083	-0.026	-0.088	0.007	-0.044	0.014	0.000	0.048	0.008	-0.126	0.114	0.024	0.083	-0.087	-0.009	-0.087	-0.045	-0.047
Q6_7	-0.037	-0.005	-0.063	-0.054	0.030	0.063	0.032	0.050	0.076	0.032	-0.008	0.082	0.060	0.035	-0.031	-0.031	-0.109	-0.147	-0.036	-0.013	0.188	-0.054	-0.112	0.039	-0.091	0.026	0.048	0.000	0.005	-0.199	0.051	0.020	0.090	-0.077	0.008	-0.041	-0.010	-0.054
Q6_8	-0.033	-0.006	-0.033	-0.045	-0.023	0.038	-0.046	-0.022	0.071	-0.035	-0.034	0.029	0.022	0.059	0.021	-0.044	-0.181	-0.123	-0.065	-0.057	0.066	-0.014	0.010	0.022	0.058	-0.056	0.008	0.005	0.000	-0.179	0.084	0.130	0.119	-0.085	0.003	-0.031	-0.014	-0.097
Q6_11	0.042	0.011	0.050	0.093	0.052	-0.005	0.019	0.104	0.059	0.045	0.067	0.042	0.004	0.102	0.105	0.047	0.044	0.026	0.116	0.090	0.131	-0.279	-0.206	-0.175	-0.177	-0.055	-0.126	-0.199	-0.179	0.000	0.102	0.121	0.048	0.128	0.081	0.086	0.005	0.140
Q7_2	-0.045	-0.089	-0.034	0.069	0.051	0.040	0.174	0.073	0.115	-0.070	-0.063	0.066	-0.002	0.015	0.056	-0.012	-0.073	-0.020	-0.014	-0.017	0.010	-0.040	-0.046	-0.011	0.005	-0.030	0.114	0.051	0.084	0.102	0.000	-0.009	-0.044	-0.067	-0.044	-0.128	-0.103	-0.142
Q7_4	0.063	-0.003	0.008	0.098	-0.024	-0.011	0.010	0.046	0.057	-0.076	0.000	-0.004	0.016	0.001	-0.049	-0.059	-0.050	-0.088	0.043	-0.053	0.034	-0.116	0.043	0.001	-0.010	-0.013	0.024	0.020	0.130	0.121	-0.009	0.000	0.056	-0.036	-0.027	-0.148	-0.175	-0.123
Q7_5	-0.072	-0.030	-0.119	-0.011	-0.033	0.024	0.030	-0.006	0.165	-0.068	-0.053	0.029	-0.037	0.077	-0.032	0.008	-0.071	-0.057	0.017	0.007	0.043	-0.100	-0.048	-0.040	-0.044	-0.005	0.083	0.090	0.119	0.048	-0.044	0.056	0.000	-0.036	0.021	-0.074	-0.085	-0.071
Q7_7	-0.026	-0.117	-0.050	-0.012	0.013	-0.085	-0.002	0.046	0.105	-0.081	-0.027	0.009	-0.147	0.020	-0.032	-0.034	0.056	-0.012	0.024	0.030	0.041	-0.227	-0.121	-0.115	-0.086	0.010	-0.087	-0.077	-0.085	0.128	-0.067	-0.036	-0.036	0.000	0.098	0.125	0.116	0.051
Q7_8	0.013	-0.039	-0.042	0.066	0.050	0.093	0.082	0.055	0.122	-0.063	0.027	0.031	-0.064	-0.025	-0.133	-0.054	-0.123	-0.119	0.079	0.056	0.052	-0.147	-0.138	-0.073	-0.100	0.040	-0.009	0.008	0.003	0.081	-0.044	-0.027	0.021	0.098	0.000	-0.046	-0.058	-0.064
Q7_12	-0.071	-0.088	-0.012	-0.066	-0.140	-0.079	0.106	-0.004	0.050	-0.014	-0.026	-0.081	-0.088	0.037	0.033	-0.061	0.019	0.030	-0.075	-0.057	0.022	-0.059	-0.118	-0.118	-0.030	0.019	-0.087	-0.041	-0.031	0.086	-0.128	-0.148	-0.074	0.125	-0.046	0.000	0.311	0.205
Q7_13	0.057	0.007	0.048	-0.035	-0.185	-0.073	0.042	-0.012	0.014	-0.032	-0.018	-0.068	-0.082	-0.004	-0.005	-0.099	-0.019	0.010	-0.122	-0.124	0.021	0.084	-0.069	-0.076	0.004	0.064	-0.045	-0.010	-0.014	0.005	-0.103	-0.175	-0.085	0.116	-0.058	0.311	0.000	0.147
Q7_14	-0.056	-0.085	-0.036	-0.034	-0.053	-0.067	-0.019	0.065	-0.034	0.053	-0.047	-0.076	-0.095	-0.013	0.090	0.022	0.093	0.110	0.018	0.052	0.047	-0.196	-0.128	-0.088	-0.061	-0.015	-0.047	-0.054	-0.097	0.140	-0.142	-0.123	-0.071	0.051	-0.064	0.205	0.147	0.000

ggcorrplot(out[[2]], type = "lower")

# modification indices
kable(modindices(fit1, sort = TRUE), format="html", digit=3)%>%
  kable_styling(full_width = T)%>%
  scroll_box(width="100%", height="800px")

	lhs	op	rhs	mi	epc	sepc.lv	sepc.all	sepc.nox
905	Q5_4	~~	Q5_5	289.047	0.386	0.386	1.267	1.267
432	EN	=~	Q6_11	245.416	0.904	0.747	0.747	0.747
394	IN	=~	Q5_12	171.824	0.610	0.462	0.462	0.462
322	EL	=~	Q5_4	170.900	-0.527	-0.431	-0.431	-0.431
423	EN	=~	Q5_12	170.893	0.892	0.736	0.736	0.736
365	SC	=~	Q6_11	170.402	0.616	0.480	0.480	0.480
326	EL	=~	Q5_12	149.553	0.488	0.400	0.400	0.400
390	IN	=~	Q5_4	146.351	-0.583	-0.441	-0.441	-0.441
335	EL	=~	Q6_11	127.844	0.594	0.486	0.486	0.486
391	IN	=~	Q5_5	125.422	-0.540	-0.409	-0.409	-0.409
419	EN	=~	Q5_4	122.971	-0.715	-0.591	-0.591	-0.591
323	EL	=~	Q5_5	115.555	-0.434	-0.355	-0.355	-0.355
319	EL	=~	Q5_1	113.590	0.435	0.356	0.356	0.356
1133	Q7_12	~~	Q7_13	109.107	0.347	0.347	0.532	0.532
416	EN	=~	Q5_1	96.730	0.702	0.580	0.580	0.580
420	EN	=~	Q5_5	95.119	-0.629	-0.520	-0.520	-0.520
387	IN	=~	Q5_1	89.765	0.468	0.354	0.354	0.354
411	EN	=~	Q4_11	65.924	0.413	0.341	0.341	0.341
1017	Q6_2	~~	Q6_4	64.707	0.196	0.196	0.609	0.609
1134	Q7_12	~~	Q7_14	56.143	0.244	0.244	0.462	0.462
426	EN	=~	Q6_3	49.791	-0.409	-0.338	-0.338	-0.338
425	EN	=~	Q6_2	41.626	-0.372	-0.307	-0.307	-0.307
359	SC	=~	Q6_3	40.842	-0.313	-0.244	-0.244	-0.244
330	EL	=~	Q6_4	40.416	-0.314	-0.257	-0.257	-0.257
1000	Q6_1	~~	Q6_2	34.794	0.183	0.183	0.515	0.515
424	EN	=~	Q6_1	34.476	-0.373	-0.308	-0.308	-0.308
404	EN	=~	Q4_2	33.629	-0.306	-0.253	-0.253	-0.253
1082	Q6_7	~~	Q6_11	32.066	-0.230	-0.230	-1.023	-1.023
329	EL	=~	Q6_3	31.815	-0.288	-0.236	-0.236	-0.236
946	Q5_6	~~	Q5_8	31.769	0.165	0.165	0.445	0.445
928	Q5_5	~~	Q5_12	31.765	-0.253	-0.253	-0.774	-0.774
989	Q5_12	~~	Q6_7	31.079	0.204	0.204	0.773	0.773
345	SC	=~	Q4_2	31.031	-0.252	-0.196	-0.196	-0.196
1007	Q6_1	~~	Q6_11	30.607	-0.299	-0.299	-0.879	-0.879
409	EN	=~	Q4_9	30.538	0.299	0.247	0.247	0.247
908	Q5_4	~~	Q5_12	30.452	-0.242	-0.242	-0.698	-0.698
395	IN	=~	Q7_2	29.846	0.368	0.279	0.279	0.279
352	SC	=~	Q4_11	29.324	0.238	0.185	0.185	0.185
382	IN	=~	Q4_11	28.723	0.288	0.218	0.218	0.218
336	EL	=~	Q7_2	26.419	0.292	0.238	0.238	0.238
434	Q4_1	~~	Q4_3	26.192	0.123	0.123	0.406	0.406
398	IN	=~	Q7_7	25.289	-0.353	-0.267	-0.267	-0.267
1022	Q6_2	~~	Q6_11	25.139	-0.228	-0.228	-0.806	-0.806
767	Q4_16	~~	Q5_12	25.013	0.197	0.197	0.486	0.486
839	Q5_1	~~	Q5_5	24.682	-0.238	-0.238	-0.709	-0.709
328	EL	=~	Q6_2	24.175	-0.247	-0.202	-0.202	-0.202
1091	Q6_8	~~	Q6_11	24.050	-0.203	-0.203	-0.737	-0.737
724	Q4_11	~~	Q7_5	23.590	0.177	0.177	0.520	0.520
842	Q5_1	~~	Q5_12	23.478	-0.227	-0.227	-0.591	-0.591
730	Q4_15	~~	Q4_16	23.356	0.147	0.147	0.358	0.358
427	EN	=~	Q6_4	23.171	-0.273	-0.226	-0.226	-0.226
358	SC	=~	Q6_2	21.866	-0.222	-0.173	-0.173	-0.173
350	SC	=~	Q4_9	21.800	0.212	0.165	0.165	0.165
396	IN	=~	Q7_4	21.249	0.307	0.233	0.233	0.233
663	Q4_9	~~	Q7_2	21.185	0.185	0.185	0.499	0.499
575	Q4_5	~~	Q4_8	20.910	0.125	0.125	0.335	0.335
506	Q4_3	~~	Q4_4	20.834	0.106	0.106	0.388	0.388
480	Q4_2	~~	Q4_18	20.743	0.119	0.119	0.371	0.371
1049	Q6_4	~~	Q6_11	20.607	-0.196	-0.196	-0.639	-0.639
357	SC	=~	Q6_1	19.778	-0.234	-0.182	-0.182	-0.182
1001	Q6_1	~~	Q6_3	19.741	0.139	0.139	0.357	0.357
341	EL	=~	Q7_12	19.325	-0.252	-0.206	-0.206	-0.206
405	EN	=~	Q4_3	19.277	-0.235	-0.194	-0.194	-0.194
400	IN	=~	Q7_12	18.546	-0.303	-0.229	-0.229	-0.229
840	Q5_1	~~	Q5_6	17.768	-0.201	-0.201	-0.537	-0.537
1036	Q6_3	~~	Q6_11	17.744	-0.193	-0.193	-0.621	-0.621
346	SC	=~	Q4_3	17.474	-0.187	-0.145	-0.145	-0.145
1127	Q7_7	~~	Q7_12	17.325	0.146	0.146	0.286	0.286
887	Q5_3	~~	Q5_12	17.030	-0.194	-0.194	-0.458	-0.458
838	Q5_1	~~	Q5_4	17.017	-0.209	-0.209	-0.585	-0.585
373	SC	=~	Q7_14	16.870	0.309	0.240	0.240	0.240
705	Q4_11	~~	Q5_1	16.466	0.160	0.160	0.460	0.460
1119	Q7_4	~~	Q7_13	15.897	-0.184	-0.184	-0.282	-0.282
1016	Q6_2	~~	Q6_3	15.739	0.112	0.112	0.347	0.347
1011	Q6_1	~~	Q7_7	15.503	-0.233	-0.233	-0.498	-0.498
860	Q5_2	~~	Q5_3	15.487	0.141	0.141	0.276	0.276
415	EN	=~	Q4_18	15.428	-0.204	-0.169	-0.169	-0.169
402	IN	=~	Q7_14	15.087	-0.274	-0.207	-0.207	-0.207
343	EL	=~	Q7_14	15.081	-0.219	-0.179	-0.179	-0.179
484	Q4_2	~~	Q5_4	14.540	-0.199	-0.199	-0.565	-0.565
606	Q4_5	~~	Q7_13	14.123	-0.189	-0.189	-0.346	-0.346
433	Q4_1	~~	Q4_2	14.118	0.109	0.109	0.306	0.306
375	IN	=~	Q4_2	14.044	-0.209	-0.158	-0.158	-0.158
1107	Q6_11	~~	Q7_14	14.040	0.150	0.150	0.390	0.390
841	Q5_1	~~	Q5_8	13.860	-0.167	-0.167	-0.426	-0.426
1114	Q7_2	~~	Q7_14	13.569	-0.159	-0.159	-0.381	-0.381
1031	Q6_3	~~	Q6_4	13.546	0.110	0.110	0.313	0.313
376	IN	=~	Q4_3	13.337	-0.208	-0.158	-0.158	-0.158
740	Q4_15	~~	Q5_12	13.166	0.151	0.151	0.400	0.400
1101	Q6_11	~~	Q7_4	13.009	0.132	0.132	0.354	0.354
339	EL	=~	Q7_7	12.969	-0.209	-0.171	-0.171	-0.171
470	Q4_2	~~	Q4_3	12.769	0.097	0.097	0.299	0.299
1135	Q7_13	~~	Q7_14	12.764	0.155	0.155	0.229	0.229
1126	Q7_7	~~	Q7_8	12.552	0.119	0.119	0.277	0.277
1072	Q6_6	~~	Q6_11	12.418	-0.144	-0.144	-0.531	-0.531
814	Q4_18	~~	Q5_4	12.286	-0.188	-0.188	-0.638	-0.638
1094	Q6_8	~~	Q7_5	12.188	0.129	0.129	0.397	0.397
331	EL	=~	Q6_5	12.098	0.202	0.165	0.165	0.165
1093	Q6_8	~~	Q7_4	12.018	0.139	0.139	0.367	0.367
1020	Q6_2	~~	Q6_7	12.011	-0.129	-0.129	-0.549	-0.549
485	Q4_2	~~	Q5_5	11.789	-0.183	-0.183	-0.553	-0.553
947	Q5_6	~~	Q5_12	11.783	-0.144	-0.144	-0.397	-0.397
1118	Q7_4	~~	Q7_12	11.755	-0.160	-0.160	-0.313	-0.313
361	SC	=~	Q6_5	11.663	0.178	0.138	0.138	0.138
991	Q5_12	~~	Q6_11	11.531	0.139	0.139	0.437	0.437
726	Q4_11	~~	Q7_8	11.506	0.131	0.131	0.391	0.391
916	Q5_4	~~	Q6_8	11.476	-0.187	-0.187	-0.621	-0.621
1045	Q6_4	~~	Q6_5	11.333	-0.169	-0.169	-0.344	-0.344
354	SC	=~	Q4_16	11.240	0.149	0.116	0.116	0.116
1103	Q6_11	~~	Q7_7	11.202	0.137	0.137	0.368	0.368
372	SC	=~	Q7_13	11.000	-0.264	-0.205	-0.205	-0.205
519	Q4_3	~~	Q5_4	10.983	-0.179	-0.179	-0.597	-0.597
931	Q5_5	~~	Q6_3	10.894	-0.182	-0.182	-0.571	-0.571
321	EL	=~	Q5_3	10.871	0.130	0.106	0.106	0.106
333	EL	=~	Q6_7	10.538	0.155	0.126	0.126	0.126
337	EL	=~	Q7_4	10.419	0.184	0.150	0.150	0.150
909	Q5_4	~~	Q6_1	10.245	-0.203	-0.203	-0.546	-0.546
1073	Q6_6	~~	Q7_2	9.988	0.124	0.124	0.421	0.421
437	Q4_1	~~	Q4_8	9.835	-0.117	-0.117	-0.325	-0.325
509	Q4_3	~~	Q4_9	9.823	-0.142	-0.142	-0.410	-0.410
1015	Q6_1	~~	Q7_14	9.794	-0.200	-0.200	-0.413	-0.413
428	EN	=~	Q6_5	9.734	0.201	0.166	0.166	0.166
701	Q4_11	~~	Q4_15	9.711	-0.126	-0.126	-0.367	-0.367
356	SC	=~	Q4_18	9.459	-0.136	-0.106	-0.106	-0.106
683	Q4_10	~~	Q5_12	9.444	0.127	0.127	0.369	0.369
865	Q5_2	~~	Q5_12	9.397	-0.148	-0.148	-0.328	-0.328
945	Q5_5	~~	Q7_14	9.358	0.120	0.120	0.302	0.302
653	Q4_9	~~	Q5_12	9.254	0.132	0.132	0.329	0.329
935	Q5_5	~~	Q6_7	9.159	-0.153	-0.153	-0.663	-0.663
911	Q5_4	~~	Q6_3	9.151	-0.165	-0.165	-0.486	-0.486
956	Q5_6	~~	Q6_11	9.142	0.123	0.123	0.398	0.398
1112	Q7_2	~~	Q7_12	9.136	-0.141	-0.141	-0.351	-0.351
1027	Q6_2	~~	Q7_8	8.989	-0.145	-0.145	-0.442	-0.442
1128	Q7_7	~~	Q7_13	8.905	0.124	0.124	0.190	0.190
708	Q4_11	~~	Q5_4	8.900	-0.163	-0.163	-0.515	-0.515
722	Q4_11	~~	Q7_2	8.890	0.123	0.123	0.392	0.392
930	Q5_5	~~	Q6_2	8.406	-0.156	-0.156	-0.535	-0.535
831	Q4_18	~~	Q7_7	8.394	-0.152	-0.152	-0.410	-0.410
1120	Q7_4	~~	Q7_14	8.366	-0.133	-0.133	-0.251	-0.251
1100	Q6_11	~~	Q7_2	8.137	0.111	0.111	0.380	0.380
410	EN	=~	Q4_10	8.137	0.144	0.119	0.119	0.119
646	Q4_9	~~	Q5_1	8.109	0.129	0.129	0.312	0.312
618	Q4_8	~~	Q5_4	7.864	-0.146	-0.146	-0.411	-0.411
340	EL	=~	Q7_8	7.759	0.153	0.125	0.125	0.125
1047	Q6_4	~~	Q6_7	7.683	-0.104	-0.104	-0.407	-0.407
520	Q4_3	~~	Q5_5	7.649	-0.144	-0.144	-0.512	-0.512
692	Q4_10	~~	Q6_11	7.649	0.110	0.110	0.376	0.376
474	Q4_2	~~	Q4_9	7.640	-0.114	-0.114	-0.280	-0.280
605	Q4_5	~~	Q7_12	7.638	-0.144	-0.144	-0.339	-0.339
1012	Q6_1	~~	Q7_8	7.638	-0.152	-0.152	-0.387	-0.387
342	EL	=~	Q7_13	7.459	-0.155	-0.126	-0.126	-0.126
942	Q5_5	~~	Q7_8	7.336	-0.127	-0.127	-0.393	-0.393
879	Q5_2	~~	Q7_8	7.259	-0.139	-0.139	-0.313	-0.313
397	IN	=~	Q7_5	7.246	0.173	0.131	0.131	0.131
733	Q4_15	~~	Q5_1	7.238	0.116	0.116	0.298	0.298
1070	Q6_6	~~	Q6_7	7.179	0.071	0.071	0.313	0.313
438	Q4_1	~~	Q4_9	7.088	-0.116	-0.116	-0.305	-0.305
553	Q4_4	~~	Q5_4	7.082	-0.142	-0.142	-0.479	-0.479
922	Q5_4	~~	Q7_8	7.029	-0.130	-0.130	-0.379	-0.379
910	Q5_4	~~	Q6_2	7.028	-0.140	-0.140	-0.452	-0.452
1085	Q6_7	~~	Q7_5	6.963	0.098	0.098	0.369	0.369
1019	Q6_2	~~	Q6_6	6.761	-0.100	-0.100	-0.352	-0.352
508	Q4_3	~~	Q4_8	6.750	-0.095	-0.095	-0.287	-0.287
1048	Q6_4	~~	Q6_8	6.739	0.074	0.074	0.236	0.236
566	Q4_4	~~	Q6_11	6.730	0.100	0.100	0.368	0.368
934	Q5_5	~~	Q6_6	6.674	-0.149	-0.149	-0.532	-0.532
360	SC	=~	Q6_4	6.662	-0.124	-0.096	-0.096	-0.096
981	Q5_8	~~	Q7_13	6.567	-0.128	-0.128	-0.224	-0.224
735	Q4_15	~~	Q5_3	6.512	0.115	0.115	0.268	0.268
535	Q4_3	~~	Q7_5	6.447	-0.124	-0.124	-0.383	-0.383
987	Q5_12	~~	Q6_5	6.408	0.120	0.120	0.237	0.237
1104	Q6_11	~~	Q7_8	6.398	0.089	0.089	0.285	0.285
758	Q4_16	~~	Q4_17	6.393	0.096	0.096	0.193	0.193
929	Q5_5	~~	Q6_1	6.344	-0.148	-0.148	-0.423	-0.423
963	Q5_6	~~	Q7_13	6.332	-0.125	-0.125	-0.230	-0.230
815	Q4_18	~~	Q5_5	6.183	-0.129	-0.129	-0.465	-0.465
851	Q5_1	~~	Q6_11	6.172	0.108	0.108	0.331	0.331
547	Q4_4	~~	Q4_16	6.169	-0.109	-0.109	-0.314	-0.314
925	Q5_4	~~	Q7_14	6.127	0.100	0.100	0.238	0.238
874	Q5_2	~~	Q6_11	6.124	0.110	0.110	0.286	0.286
430	EN	=~	Q6_7	6.090	0.138	0.114	0.114	0.114
725	Q4_11	~~	Q7_7	6.083	0.110	0.110	0.277	0.277
716	Q4_11	~~	Q6_4	6.005	-0.112	-0.112	-0.342	-0.342
936	Q5_5	~~	Q6_8	5.987	-0.128	-0.128	-0.451	-0.451
608	Q4_8	~~	Q4_9	5.800	0.083	0.083	0.202	0.202
668	Q4_9	~~	Q7_12	5.638	0.110	0.110	0.235	0.235
968	Q5_8	~~	Q6_3	5.627	-0.124	-0.124	-0.333	-0.333
1030	Q6_2	~~	Q7_14	5.625	-0.132	-0.132	-0.328	-0.328
436	Q4_1	~~	Q4_5	5.561	-0.087	-0.087	-0.253	-0.253
643	Q4_9	~~	Q4_16	5.527	-0.107	-0.107	-0.243	-0.243
516	Q4_3	~~	Q5_1	5.517	0.103	0.103	0.311	0.311
403	EN	=~	Q4_1	5.509	-0.120	-0.099	-0.099	-0.099
1018	Q6_2	~~	Q6_5	5.504	-0.114	-0.114	-0.252	-0.252
568	Q4_4	~~	Q7_4	5.460	0.103	0.103	0.276	0.276
1113	Q7_2	~~	Q7_13	5.411	-0.110	-0.110	-0.214	-0.214
636	Q4_8	~~	Q7_8	5.381	0.098	0.098	0.260	0.260
586	Q4_5	~~	Q5_4	5.379	-0.131	-0.131	-0.385	-0.385
1054	Q6_4	~~	Q7_8	5.363	-0.105	-0.105	-0.296	-0.296
1028	Q6_2	~~	Q7_12	5.362	-0.123	-0.123	-0.317	-0.317
974	Q5_8	~~	Q6_11	5.326	0.095	0.095	0.293	0.293
511	Q4_3	~~	Q4_11	5.277	-0.085	-0.085	-0.292	-0.292
546	Q4_4	~~	Q4_15	5.149	-0.094	-0.094	-0.292	-0.292
1026	Q6_2	~~	Q7_7	5.143	-0.125	-0.125	-0.322	-0.322
914	Q5_4	~~	Q6_6	5.106	-0.128	-0.128	-0.430	-0.430
1040	Q6_3	~~	Q7_7	5.084	-0.119	-0.119	-0.278	-0.278
374	IN	=~	Q4_1	5.027	-0.124	-0.094	-0.094	-0.094
325	EL	=~	Q5_8	4.891	-0.084	-0.069	-0.069	-0.069
501	Q4_2	~~	Q7_7	4.871	-0.120	-0.120	-0.271	-0.271
587	Q4_5	~~	Q5_5	4.864	-0.119	-0.119	-0.373	-0.373
487	Q4_2	~~	Q5_8	4.829	-0.111	-0.111	-0.289	-0.289
389	IN	=~	Q5_3	4.697	0.103	0.078	0.078	0.078
719	Q4_11	~~	Q6_7	4.636	0.082	0.082	0.341	0.341
543	Q4_4	~~	Q4_9	4.635	-0.093	-0.093	-0.270	-0.270
381	IN	=~	Q4_10	4.628	0.120	0.091	0.091	0.091
393	IN	=~	Q5_8	4.615	-0.097	-0.074	-0.074	-0.074
915	Q5_4	~~	Q6_7	4.590	-0.113	-0.113	-0.460	-0.460
768	Q4_16	~~	Q6_1	4.550	0.104	0.104	0.240	0.240
717	Q4_11	~~	Q6_5	4.525	0.098	0.098	0.212	0.212
961	Q5_6	~~	Q7_8	4.501	0.086	0.086	0.240	0.240
785	Q4_17	~~	Q4_18	4.500	0.082	0.082	0.212	0.212
882	Q5_2	~~	Q7_14	4.493	0.095	0.095	0.173	0.173
1092	Q6_8	~~	Q7_2	4.424	0.090	0.090	0.300	0.300
1042	Q6_3	~~	Q7_12	4.405	-0.121	-0.121	-0.285	-0.285
380	IN	=~	Q4_9	4.382	0.122	0.092	0.092	0.092
1099	Q6_8	~~	Q7_14	4.380	-0.101	-0.101	-0.258	-0.258
514	Q4_3	~~	Q4_17	4.364	-0.093	-0.093	-0.237	-0.237
1010	Q6_1	~~	Q7_5	4.333	-0.104	-0.104	-0.259	-0.259
1075	Q6_6	~~	Q7_5	4.322	0.088	0.088	0.274	0.274
353	SC	=~	Q4_15	4.320	0.091	0.071	0.071	0.071
1123	Q7_5	~~	Q7_12	4.213	-0.084	-0.084	-0.190	-0.190
762	Q4_16	~~	Q5_3	4.193	0.094	0.094	0.205	0.205
1105	Q6_11	~~	Q7_12	4.103	0.091	0.091	0.245	0.245
720	Q4_11	~~	Q6_8	4.068	0.076	0.076	0.258	0.258
667	Q4_9	~~	Q7_8	3.989	0.086	0.086	0.217	0.217
498	Q4_2	~~	Q7_2	3.940	-0.093	-0.093	-0.267	-0.267
401	IN	=~	Q7_13	3.914	-0.138	-0.105	-0.105	-0.105
799	Q4_17	~~	Q6_6	3.897	0.091	0.091	0.233	0.233
702	Q4_11	~~	Q4_16	3.893	-0.084	-0.084	-0.227	-0.227
903	Q5_3	~~	Q7_13	3.856	-0.101	-0.101	-0.160	-0.160
1009	Q6_1	~~	Q7_4	3.842	-0.119	-0.119	-0.255	-0.255
835	Q4_18	~~	Q7_14	3.815	-0.098	-0.098	-0.256	-0.256
478	Q4_2	~~	Q4_16	3.814	-0.088	-0.088	-0.214	-0.214
1124	Q7_5	~~	Q7_13	3.794	-0.090	-0.090	-0.160	-0.160
704	Q4_11	~~	Q4_18	3.759	-0.071	-0.071	-0.247	-0.247
448	Q4_1	~~	Q5_4	3.753	-0.097	-0.097	-0.296	-0.296
422	EN	=~	Q5_8	3.749	-0.122	-0.101	-0.101	-0.101
854	Q5_1	~~	Q7_5	3.748	0.083	0.083	0.215	0.215
790	Q4_17	~~	Q5_5	3.733	-0.109	-0.109	-0.273	-0.273
594	Q4_5	~~	Q6_4	3.690	-0.089	-0.089	-0.253	-0.253
800	Q4_17	~~	Q6_7	3.687	0.086	0.086	0.266	0.266
939	Q5_5	~~	Q7_4	3.656	-0.093	-0.093	-0.243	-0.243
585	Q4_5	~~	Q5_3	3.609	0.094	0.094	0.228	0.228
988	Q5_12	~~	Q6_6	3.597	0.087	0.087	0.273	0.273
789	Q4_17	~~	Q5_4	3.575	-0.101	-0.101	-0.238	-0.238
558	Q4_4	~~	Q6_1	3.563	-0.092	-0.092	-0.271	-0.271
712	Q4_11	~~	Q5_12	3.524	0.085	0.085	0.251	0.251
1002	Q6_1	~~	Q6_4	3.500	0.072	0.072	0.186	0.186
456	Q4_1	~~	Q6_4	3.459	-0.089	-0.089	-0.260	-0.260
679	Q4_10	~~	Q5_4	3.430	-0.086	-0.086	-0.267	-0.267
1095	Q6_8	~~	Q7_7	3.427	-0.089	-0.089	-0.234	-0.234
822	Q4_18	~~	Q6_4	3.414	-0.092	-0.092	-0.301	-0.301
580	Q4_5	~~	Q4_16	3.350	-0.080	-0.080	-0.203	-0.203
1115	Q7_4	~~	Q7_5	3.327	0.066	0.066	0.149	0.149
386	IN	=~	Q4_18	3.295	-0.099	-0.075	-0.075	-0.075
1125	Q7_5	~~	Q7_14	3.286	-0.078	-0.078	-0.171	-0.171
554	Q4_4	~~	Q5_5	3.226	-0.090	-0.090	-0.324	-0.324
965	Q5_8	~~	Q5_12	3.219	-0.068	-0.068	-0.180	-0.180
1110	Q7_2	~~	Q7_7	3.218	-0.076	-0.076	-0.189	-0.189
760	Q4_16	~~	Q5_1	3.173	0.081	0.081	0.194	0.194
864	Q5_2	~~	Q5_8	3.148	-0.077	-0.077	-0.168	-0.168
863	Q5_2	~~	Q5_6	3.137	-0.078	-0.078	-0.177	-0.177
869	Q5_2	~~	Q6_4	3.134	0.085	0.085	0.195	0.195
522	Q4_3	~~	Q5_8	3.117	-0.085	-0.085	-0.258	-0.258
503	Q4_2	~~	Q7_12	3.116	-0.091	-0.091	-0.207	-0.207
344	SC	=~	Q4_1	3.110	-0.077	-0.060	-0.060	-0.060
635	Q4_8	~~	Q7_7	3.110	-0.088	-0.088	-0.196	-0.196
892	Q5_3	~~	Q6_5	3.106	0.090	0.090	0.156	0.156
492	Q4_2	~~	Q6_4	3.080	-0.079	-0.079	-0.216	-0.216
505	Q4_2	~~	Q7_14	3.077	-0.087	-0.087	-0.190	-0.190
693	Q4_10	~~	Q7_2	3.069	0.077	0.077	0.242	0.242
687	Q4_10	~~	Q6_4	3.066	-0.082	-0.082	-0.245	-0.245
567	Q4_4	~~	Q7_2	3.017	0.073	0.073	0.249	0.249
709	Q4_11	~~	Q5_5	2.978	-0.090	-0.090	-0.302	-0.302
1053	Q6_4	~~	Q7_7	2.962	-0.089	-0.089	-0.211	-0.211
1044	Q6_3	~~	Q7_14	2.957	-0.091	-0.091	-0.205	-0.205
481	Q4_2	~~	Q5_1	2.949	0.083	0.083	0.213	0.213
833	Q4_18	~~	Q7_12	2.947	-0.091	-0.091	-0.246	-0.246
629	Q4_8	~~	Q6_7	2.933	0.067	0.067	0.246	0.246
1076	Q6_6	~~	Q7_7	2.925	-0.090	-0.090	-0.241	-0.241
884	Q5_3	~~	Q5_5	2.894	-0.075	-0.075	-0.201	-0.201
1132	Q7_8	~~	Q7_14	2.887	-0.072	-0.072	-0.160	-0.160
363	SC	=~	Q6_7	2.880	0.079	0.062	0.062	0.062
527	Q4_3	~~	Q6_4	2.875	-0.077	-0.077	-0.247	-0.247
825	Q4_18	~~	Q6_7	2.870	0.064	0.064	0.287	0.287
637	Q4_8	~~	Q7_12	2.833	-0.082	-0.082	-0.184	-0.184
1041	Q6_3	~~	Q7_8	2.809	-0.077	-0.077	-0.215	-0.215
507	Q4_3	~~	Q4_5	2.805	-0.059	-0.059	-0.189	-0.189
377	IN	=~	Q4_4	2.788	-0.090	-0.068	-0.068	-0.068
464	Q4_1	~~	Q7_5	2.784	-0.075	-0.075	-0.212	-0.212
628	Q4_8	~~	Q6_6	2.756	0.070	0.070	0.213	0.213
351	SC	=~	Q4_10	2.753	0.070	0.055	0.055	0.055
962	Q5_6	~~	Q7_12	2.749	-0.079	-0.079	-0.185	-0.185
355	SC	=~	Q4_17	2.732	-0.081	-0.063	-0.063	-0.063
475	Q4_2	~~	Q4_10	2.690	-0.064	-0.064	-0.182	-0.182
918	Q5_4	~~	Q7_2	2.687	-0.078	-0.078	-0.245	-0.245
615	Q4_8	~~	Q5_1	2.669	0.076	0.076	0.194	0.194
776	Q4_16	~~	Q6_11	2.668	0.070	0.070	0.202	0.202
700	Q4_10	~~	Q7_14	2.660	0.068	0.068	0.163	0.163
526	Q4_3	~~	Q6_3	2.650	-0.086	-0.086	-0.272	-0.272
907	Q5_4	~~	Q5_8	2.644	0.053	0.053	0.150	0.150
1078	Q6_6	~~	Q7_12	2.641	-0.090	-0.090	-0.242	-0.242
548	Q4_4	~~	Q4_17	2.638	-0.075	-0.075	-0.192	-0.192
385	IN	=~	Q4_17	2.588	0.098	0.074	0.074	0.074
671	Q4_10	~~	Q4_11	2.569	-0.059	-0.059	-0.189	-0.189
751	Q4_15	~~	Q7_4	2.564	-0.079	-0.079	-0.178	-0.178
1086	Q6_7	~~	Q7_7	2.529	-0.081	-0.081	-0.260	-0.260
834	Q4_18	~~	Q7_13	2.501	-0.084	-0.084	-0.177	-0.177
753	Q4_15	~~	Q7_7	2.501	-0.084	-0.084	-0.189	-0.189
583	Q4_5	~~	Q5_1	2.482	0.076	0.076	0.203	0.203
920	Q5_4	~~	Q7_5	2.479	-0.075	-0.075	-0.215	-0.215
832	Q4_18	~~	Q7_8	2.468	-0.068	-0.068	-0.216	-0.216
467	Q4_1	~~	Q7_12	2.462	-0.074	-0.074	-0.181	-0.181
721	Q4_11	~~	Q6_11	2.450	0.063	0.063	0.219	0.219
990	Q5_12	~~	Q6_8	2.445	0.069	0.069	0.214	0.214
388	IN	=~	Q5_2	2.420	0.074	0.056	0.056	0.056
1014	Q6_1	~~	Q7_13	2.386	0.085	0.085	0.142	0.142
1034	Q6_3	~~	Q6_7	2.383	0.049	0.049	0.189	0.189
610	Q4_8	~~	Q4_11	2.374	-0.061	-0.061	-0.177	-0.177
445	Q4_1	~~	Q5_1	2.373	0.069	0.069	0.190	0.190
1005	Q6_1	~~	Q6_7	2.360	-0.062	-0.062	-0.218	-0.218
347	SC	=~	Q4_4	2.356	-0.067	-0.052	-0.052	-0.052
551	Q4_4	~~	Q5_2	2.355	-0.080	-0.080	-0.207	-0.207
571	Q4_4	~~	Q7_8	2.332	0.069	0.069	0.220	0.220
932	Q5_5	~~	Q6_4	2.300	-0.083	-0.083	-0.263	-0.263
948	Q5_6	~~	Q6_1	2.280	-0.088	-0.088	-0.227	-0.227
732	Q4_15	~~	Q4_18	2.252	0.047	0.047	0.148	0.148
441	Q4_1	~~	Q4_15	2.246	-0.059	-0.059	-0.165	-0.165
379	IN	=~	Q4_8	2.243	0.081	0.061	0.061	0.061
517	Q4_3	~~	Q5_2	2.213	-0.075	-0.075	-0.194	-0.194
810	Q4_17	~~	Q7_14	2.170	-0.078	-0.078	-0.141	-0.141
752	Q4_15	~~	Q7_5	2.161	-0.071	-0.071	-0.186	-0.186
638	Q4_8	~~	Q7_13	2.151	-0.074	-0.074	-0.130	-0.130
793	Q4_17	~~	Q5_12	2.148	0.072	0.072	0.158	0.158
803	Q4_17	~~	Q7_2	2.147	0.069	0.069	0.163	0.163
479	Q4_2	~~	Q4_17	2.130	-0.066	-0.066	-0.142	-0.142
979	Q5_8	~~	Q7_8	2.126	0.060	0.060	0.161	0.161
525	Q4_3	~~	Q6_2	2.103	-0.075	-0.075	-0.262	-0.262
1129	Q7_7	~~	Q7_14	2.093	0.057	0.057	0.108	0.108
327	EL	=~	Q6_1	2.079	-0.077	-0.063	-0.063	-0.063
750	Q4_15	~~	Q7_2	2.074	-0.072	-0.072	-0.208	-0.208
697	Q4_10	~~	Q7_8	2.070	0.058	0.058	0.171	0.171
966	Q5_8	~~	Q6_1	2.058	-0.081	-0.081	-0.199	-0.199
1109	Q7_2	~~	Q7_5	2.048	-0.053	-0.053	-0.154	-0.154
707	Q4_11	~~	Q5_3	2.046	0.063	0.063	0.165	0.165
530	Q4_3	~~	Q6_7	2.031	-0.066	-0.066	-0.290	-0.290
612	Q4_8	~~	Q4_16	2.023	-0.057	-0.057	-0.137	-0.137
435	Q4_1	~~	Q4_4	2.016	0.038	0.038	0.127	0.127
940	Q5_5	~~	Q7_5	2.015	-0.062	-0.062	-0.188	-0.188
413	EN	=~	Q4_16	2.014	0.078	0.064	0.064	0.064
808	Q4_17	~~	Q7_12	2.008	-0.082	-0.082	-0.154	-0.154
617	Q4_8	~~	Q5_3	1.999	0.066	0.066	0.153	0.153
996	Q5_12	~~	Q7_8	1.987	0.057	0.057	0.155	0.155
754	Q4_15	~~	Q7_8	1.970	-0.066	-0.066	-0.177	-0.177
818	Q4_18	~~	Q5_12	1.934	0.061	0.061	0.192	0.192
648	Q4_9	~~	Q5_3	1.927	0.066	0.066	0.145	0.145
463	Q4_1	~~	Q7_4	1.924	0.066	0.066	0.160	0.160
836	Q5_1	~~	Q5_2	1.922	0.058	0.058	0.125	0.125
1111	Q7_2	~~	Q7_8	1.920	-0.053	-0.053	-0.156	-0.156
680	Q4_10	~~	Q5_5	1.917	-0.063	-0.063	-0.207	-0.207
324	EL	=~	Q5_6	1.917	0.053	0.044	0.044	0.044
421	EN	=~	Q5_6	1.907	0.089	0.074	0.074	0.074
332	EL	=~	Q6_6	1.904	0.071	0.058	0.058	0.058
1102	Q6_11	~~	Q7_5	1.898	0.052	0.052	0.162	0.162
639	Q4_8	~~	Q7_14	1.891	-0.069	-0.069	-0.148	-0.148
561	Q4_4	~~	Q6_4	1.886	-0.059	-0.059	-0.192	-0.192
902	Q5_3	~~	Q7_12	1.879	-0.064	-0.064	-0.130	-0.130
888	Q5_3	~~	Q6_1	1.869	0.072	0.072	0.158	0.158
1043	Q6_3	~~	Q7_13	1.865	-0.077	-0.077	-0.142	-0.142
429	EN	=~	Q6_6	1.843	0.079	0.065	0.065	0.065
572	Q4_4	~~	Q7_12	1.839	-0.069	-0.069	-0.185	-0.185
955	Q5_6	~~	Q6_8	1.839	-0.067	-0.067	-0.213	-0.213
482	Q4_2	~~	Q5_2	1.804	-0.070	-0.070	-0.153	-0.153
1131	Q7_8	~~	Q7_13	1.793	-0.062	-0.062	-0.113	-0.113
850	Q5_1	~~	Q6_8	1.773	0.062	0.062	0.186	0.186
690	Q4_10	~~	Q6_7	1.769	0.053	0.053	0.215	0.215
1046	Q6_4	~~	Q6_6	1.763	-0.050	-0.050	-0.163	-0.163
1130	Q7_8	~~	Q7_12	1.758	-0.053	-0.053	-0.123	-0.123
564	Q4_4	~~	Q6_7	1.756	-0.057	-0.057	-0.252	-0.252
906	Q5_4	~~	Q5_6	1.756	-0.051	-0.051	-0.149	-0.149
921	Q5_4	~~	Q7_7	1.750	0.060	0.060	0.146	0.146
1029	Q6_2	~~	Q7_13	1.750	-0.071	-0.071	-0.142	-0.142
588	Q4_5	~~	Q5_6	1.742	0.061	0.061	0.171	0.171
912	Q5_4	~~	Q6_4	1.739	-0.073	-0.073	-0.217	-0.217
649	Q4_9	~~	Q5_4	1.739	-0.068	-0.068	-0.182	-0.182
1060	Q6_5	~~	Q6_8	1.734	-0.061	-0.061	-0.139	-0.139
619	Q4_8	~~	Q5_5	1.733	-0.068	-0.068	-0.204	-0.204
875	Q5_2	~~	Q7_2	1.721	0.059	0.059	0.143	0.143
599	Q4_5	~~	Q6_11	1.689	0.055	0.055	0.176	0.176
371	SC	=~	Q7_12	1.684	-0.101	-0.078	-0.078	-0.078
777	Q4_16	~~	Q7_2	1.671	-0.065	-0.065	-0.173	-0.173
973	Q5_8	~~	Q6_8	1.666	-0.059	-0.059	-0.180	-0.180
1083	Q6_7	~~	Q7_2	1.665	0.055	0.055	0.225	0.225
817	Q4_18	~~	Q5_8	1.655	-0.061	-0.061	-0.188	-0.188
560	Q4_4	~~	Q6_3	1.648	-0.062	-0.062	-0.200	-0.200
898	Q5_3	~~	Q7_4	1.641	-0.061	-0.061	-0.124	-0.124
723	Q4_11	~~	Q7_4	1.638	0.059	0.059	0.149	0.149
982	Q5_8	~~	Q7_14	1.621	0.055	0.055	0.119	0.119
672	Q4_10	~~	Q4_15	1.618	-0.049	-0.049	-0.141	-0.141
589	Q4_5	~~	Q5_8	1.613	0.058	0.058	0.156	0.156
980	Q5_8	~~	Q7_12	1.604	-0.060	-0.060	-0.135	-0.135
469	Q4_1	~~	Q7_14	1.576	-0.058	-0.058	-0.137	-0.137
871	Q5_2	~~	Q6_6	1.571	0.064	0.064	0.167	0.167
786	Q4_17	~~	Q5_1	1.569	-0.066	-0.066	-0.140	-0.140
736	Q4_15	~~	Q5_4	1.566	-0.063	-0.063	-0.179	-0.179
811	Q4_18	~~	Q5_1	1.551	0.058	0.058	0.177	0.177
1057	Q6_4	~~	Q7_14	1.550	-0.064	-0.064	-0.145	-0.145
809	Q4_17	~~	Q7_13	1.549	-0.069	-0.069	-0.101	-0.101
521	Q4_3	~~	Q5_6	1.511	-0.057	-0.057	-0.182	-0.182
976	Q5_8	~~	Q7_4	1.511	-0.056	-0.056	-0.125	-0.125
1068	Q6_5	~~	Q7_13	1.504	0.065	0.065	0.085	0.085
1061	Q6_5	~~	Q6_11	1.500	-0.060	-0.060	-0.138	-0.138
488	Q4_2	~~	Q5_12	1.489	-0.062	-0.062	-0.165	-0.165
370	SC	=~	Q7_8	1.472	-0.093	-0.073	-0.073	-0.073
600	Q4_5	~~	Q7_2	1.464	0.054	0.054	0.160	0.160
449	Q4_1	~~	Q5_5	1.453	-0.060	-0.060	-0.195	-0.195
1013	Q6_1	~~	Q7_12	1.436	-0.061	-0.061	-0.131	-0.131
476	Q4_2	~~	Q4_11	1.427	-0.043	-0.043	-0.127	-0.127
901	Q5_3	~~	Q7_8	1.424	-0.057	-0.057	-0.136	-0.136
440	Q4_1	~~	Q4_11	1.424	-0.041	-0.041	-0.130	-0.130
727	Q4_11	~~	Q7_12	1.423	0.053	0.053	0.133	0.133
843	Q5_1	~~	Q6_1	1.417	0.057	0.057	0.139	0.139
950	Q5_6	~~	Q6_3	1.392	-0.062	-0.062	-0.174	-0.174
532	Q4_3	~~	Q6_11	1.387	0.052	0.052	0.191	0.191
779	Q4_16	~~	Q7_5	1.343	-0.055	-0.055	-0.134	-0.134
772	Q4_16	~~	Q6_5	1.339	0.062	0.062	0.112	0.112
621	Q4_8	~~	Q5_8	1.318	0.050	0.050	0.127	0.127
893	Q5_3	~~	Q6_6	1.316	-0.062	-0.062	-0.171	-0.171
468	Q4_1	~~	Q7_13	1.314	0.058	0.058	0.111	0.111
451	Q4_1	~~	Q5_8	1.285	-0.055	-0.055	-0.154	-0.154
1025	Q6_2	~~	Q7_5	1.285	-0.051	-0.051	-0.152	-0.152
984	Q5_12	~~	Q6_2	1.284	0.049	0.049	0.149	0.149
994	Q5_12	~~	Q7_5	1.281	0.046	0.046	0.124	0.124
876	Q5_2	~~	Q7_4	1.274	-0.051	-0.051	-0.096	-0.096
820	Q4_18	~~	Q6_2	1.273	-0.054	-0.054	-0.191	-0.191
418	EN	=~	Q5_3	1.266	0.076	0.063	0.063	0.063
555	Q4_4	~~	Q5_6	1.262	0.048	0.048	0.154	0.154
848	Q5_1	~~	Q6_6	1.248	0.055	0.055	0.169	0.169
1090	Q6_7	~~	Q7_14	1.245	-0.056	-0.056	-0.175	-0.175
384	IN	=~	Q4_16	1.235	0.066	0.050	0.050	0.050
757	Q4_15	~~	Q7_14	1.224	0.055	0.055	0.119	0.119
770	Q4_16	~~	Q6_3	1.213	-0.058	-0.058	-0.147	-0.147
604	Q4_5	~~	Q7_8	1.211	0.052	0.052	0.143	0.143
607	Q4_5	~~	Q7_14	1.203	-0.055	-0.055	-0.124	-0.124
1052	Q6_4	~~	Q7_5	1.200	-0.047	-0.047	-0.129	-0.129
462	Q4_1	~~	Q7_2	1.159	-0.047	-0.047	-0.145	-0.145
1023	Q6_2	~~	Q7_2	1.156	-0.048	-0.048	-0.158	-0.158
891	Q5_3	~~	Q6_4	1.156	0.052	0.052	0.127	0.127
952	Q5_6	~~	Q6_5	1.151	0.056	0.056	0.112	0.112
919	Q5_4	~~	Q7_4	1.144	-0.052	-0.052	-0.129	-0.129
439	Q4_1	~~	Q4_10	1.138	0.033	0.033	0.102	0.102
896	Q5_3	~~	Q6_11	1.128	0.049	0.049	0.136	0.136
958	Q5_6	~~	Q7_4	1.123	0.045	0.045	0.107	0.107
999	Q5_12	~~	Q7_14	1.122	0.050	0.050	0.110	0.110
364	SC	=~	Q6_8	1.118	-0.050	-0.039	-0.039	-0.039
661	Q4_9	~~	Q6_8	1.118	-0.048	-0.048	-0.137	-0.137
491	Q4_2	~~	Q6_3	1.101	-0.053	-0.053	-0.143	-0.143
694	Q4_10	~~	Q7_4	1.082	0.048	0.048	0.119	0.119
749	Q4_15	~~	Q6_11	1.082	0.047	0.047	0.146	0.146
565	Q4_4	~~	Q6_8	1.071	-0.047	-0.047	-0.171	-0.171
559	Q4_4	~~	Q6_2	1.070	-0.049	-0.049	-0.174	-0.174
512	Q4_3	~~	Q4_15	1.067	-0.042	-0.042	-0.130	-0.130
734	Q4_15	~~	Q5_2	1.064	0.052	0.052	0.114	0.114
675	Q4_10	~~	Q4_18	1.064	-0.035	-0.035	-0.119	-0.119
784	Q4_16	~~	Q7_14	1.064	-0.048	-0.048	-0.098	-0.098
455	Q4_1	~~	Q6_3	1.047	-0.048	-0.048	-0.140	-0.140
624	Q4_8	~~	Q6_2	1.043	-0.048	-0.048	-0.140	-0.140
696	Q4_10	~~	Q7_7	1.040	0.048	0.048	0.118	0.118
367	SC	=~	Q7_4	1.039	-0.079	-0.062	-0.062	-0.062
1024	Q6_2	~~	Q7_4	1.009	0.045	0.045	0.116	0.116
823	Q4_18	~~	Q6_5	1.008	0.047	0.047	0.110	0.110
741	Q4_15	~~	Q6_1	1.001	0.050	0.050	0.125	0.125
674	Q4_10	~~	Q4_17	0.988	-0.046	-0.046	-0.109	-0.109
609	Q4_8	~~	Q4_10	0.985	-0.034	-0.034	-0.095	-0.095
1121	Q7_5	~~	Q7_7	0.980	-0.041	-0.041	-0.093	-0.093
883	Q5_3	~~	Q5_4	0.971	-0.041	-0.041	-0.104	-0.104
995	Q5_12	~~	Q7_7	0.967	0.044	0.044	0.100	0.100
539	Q4_3	~~	Q7_13	0.965	0.049	0.049	0.102	0.102
632	Q4_8	~~	Q7_2	0.962	0.042	0.042	0.120	0.120
917	Q5_4	~~	Q6_11	0.945	0.047	0.047	0.157	0.157
837	Q5_1	~~	Q5_3	0.935	-0.041	-0.041	-0.093	-0.093
647	Q4_9	~~	Q5_2	0.926	0.049	0.049	0.102	0.102
536	Q4_3	~~	Q7_7	0.922	-0.052	-0.052	-0.138	-0.138
821	Q4_18	~~	Q6_3	0.920	-0.048	-0.048	-0.155	-0.155
461	Q4_1	~~	Q6_11	0.916	0.044	0.044	0.147	0.147
846	Q5_1	~~	Q6_4	0.913	0.048	0.048	0.128	0.128
1039	Q6_3	~~	Q7_5	0.906	-0.043	-0.043	-0.116	-0.116
895	Q5_3	~~	Q6_8	0.906	-0.046	-0.046	-0.125	-0.125
967	Q5_8	~~	Q6_2	0.904	-0.045	-0.045	-0.134	-0.134
471	Q4_2	~~	Q4_4	0.898	0.031	0.031	0.096	0.096
769	Q4_16	~~	Q6_2	0.895	-0.049	-0.049	-0.136	-0.136
718	Q4_11	~~	Q6_6	0.888	0.042	0.042	0.145	0.145
792	Q4_17	~~	Q5_8	0.888	-0.049	-0.049	-0.105	-0.105
443	Q4_1	~~	Q4_17	0.883	-0.042	-0.042	-0.098	-0.098
802	Q4_17	~~	Q6_11	0.872	0.044	0.044	0.113	0.113
1116	Q7_4	~~	Q7_7	0.869	-0.039	-0.039	-0.077	-0.077
949	Q5_6	~~	Q6_2	0.865	-0.045	-0.045	-0.138	-0.138
1088	Q6_7	~~	Q7_12	0.864	-0.044	-0.044	-0.142	-0.142
1032	Q6_3	~~	Q6_5	0.852	-0.043	-0.043	-0.087	-0.087
630	Q4_8	~~	Q6_8	0.826	0.040	0.040	0.120	0.120
1080	Q6_6	~~	Q7_14	0.817	-0.049	-0.049	-0.126	-0.126
713	Q4_11	~~	Q6_1	0.811	0.040	0.040	0.111	0.111
830	Q4_18	~~	Q7_5	0.809	-0.039	-0.039	-0.123	-0.123
349	SC	=~	Q4_8	0.786	0.039	0.030	0.030	0.030
537	Q4_3	~~	Q7_8	0.781	-0.044	-0.044	-0.139	-0.139
890	Q5_3	~~	Q6_3	0.772	-0.046	-0.046	-0.111	-0.111
857	Q5_1	~~	Q7_12	0.769	0.039	0.039	0.088	0.088
459	Q4_1	~~	Q6_7	0.755	-0.039	-0.039	-0.155	-0.155
502	Q4_2	~~	Q7_8	0.748	-0.040	-0.040	-0.108	-0.108
620	Q4_8	~~	Q5_6	0.748	0.038	0.038	0.102	0.102
1008	Q6_1	~~	Q7_2	0.747	-0.042	-0.042	-0.114	-0.114
746	Q4_15	~~	Q6_6	0.741	-0.047	-0.047	-0.145	-0.145
761	Q4_16	~~	Q5_2	0.741	0.042	0.042	0.085	0.085
597	Q4_5	~~	Q6_7	0.735	0.032	0.032	0.125	0.125
659	Q4_9	~~	Q6_6	0.732	-0.042	-0.042	-0.123	-0.123
1066	Q6_5	~~	Q7_8	0.728	0.041	0.041	0.082	0.082
993	Q5_12	~~	Q7_4	0.726	0.036	0.036	0.083	0.083
545	Q4_4	~~	Q4_11	0.720	-0.028	-0.028	-0.099	-0.099
1079	Q6_6	~~	Q7_13	0.711	-0.046	-0.046	-0.097	-0.097
788	Q4_17	~~	Q5_3	0.704	-0.042	-0.042	-0.081	-0.081
1035	Q6_3	~~	Q6_8	0.700	0.027	0.027	0.085	0.085
669	Q4_9	~~	Q7_13	0.699	0.043	0.043	0.071	0.071
913	Q5_4	~~	Q6_5	0.685	0.043	0.043	0.091	0.091
658	Q4_9	~~	Q6_5	0.676	0.041	0.041	0.075	0.075
407	EN	=~	Q4_5	0.675	-0.044	-0.036	-0.036	-0.036
791	Q4_17	~~	Q5_6	0.656	-0.042	-0.042	-0.094	-0.094
593	Q4_5	~~	Q6_3	0.649	-0.038	-0.038	-0.107	-0.107
714	Q4_11	~~	Q6_2	0.648	-0.035	-0.035	-0.116	-0.116
954	Q5_6	~~	Q6_7	0.644	-0.038	-0.038	-0.148	-0.148
849	Q5_1	~~	Q6_7	0.643	0.037	0.037	0.137	0.137
622	Q4_8	~~	Q5_12	0.636	0.036	0.036	0.094	0.094
660	Q4_9	~~	Q6_7	0.635	0.034	0.034	0.119	0.119
442	Q4_1	~~	Q4_16	0.632	-0.031	-0.031	-0.080	-0.080
408	EN	=~	Q4_8	0.627	0.041	0.034	0.034	0.034
763	Q4_16	~~	Q5_4	0.619	-0.041	-0.041	-0.109	-0.109
656	Q4_9	~~	Q6_3	0.613	-0.040	-0.040	-0.102	-0.102
574	Q4_4	~~	Q7_14	0.612	-0.036	-0.036	-0.092	-0.092
745	Q4_15	~~	Q6_5	0.606	0.043	0.043	0.084	0.084
747	Q4_15	~~	Q6_7	0.601	0.034	0.034	0.126	0.126
460	Q4_1	~~	Q6_8	0.598	-0.034	-0.034	-0.112	-0.112
540	Q4_3	~~	Q7_14	0.581	-0.037	-0.037	-0.096	-0.096
1117	Q7_4	~~	Q7_8	0.575	-0.030	-0.030	-0.071	-0.071
1122	Q7_5	~~	Q7_8	0.571	0.026	0.026	0.069	0.069
431	EN	=~	Q6_8	0.569	0.041	0.034	0.034	0.034
737	Q4_15	~~	Q5_5	0.568	-0.038	-0.038	-0.116	-0.116
627	Q4_8	~~	Q6_5	0.564	0.040	0.040	0.076	0.076
748	Q4_15	~~	Q6_8	0.564	-0.037	-0.037	-0.112	-0.112
889	Q5_3	~~	Q6_2	0.562	0.035	0.035	0.094	0.094
715	Q4_11	~~	Q6_3	0.558	-0.034	-0.034	-0.103	-0.103
453	Q4_1	~~	Q6_1	0.551	0.037	0.037	0.097	0.097
531	Q4_3	~~	Q6_8	0.551	-0.034	-0.034	-0.124	-0.124
447	Q4_1	~~	Q5_3	0.549	0.031	0.031	0.078	0.078
880	Q5_2	~~	Q7_12	0.548	0.035	0.035	0.066	0.066
900	Q5_3	~~	Q7_7	0.542	-0.035	-0.035	-0.071	-0.071
927	Q5_5	~~	Q5_8	0.535	0.025	0.025	0.075	0.075
775	Q4_16	~~	Q6_8	0.519	-0.035	-0.035	-0.099	-0.099
472	Q4_2	~~	Q4_5	0.518	0.023	0.023	0.062	0.062
1003	Q6_1	~~	Q6_5	0.513	-0.039	-0.039	-0.071	-0.071
533	Q4_3	~~	Q7_2	0.508	-0.036	-0.036	-0.120	-0.120
1059	Q6_5	~~	Q6_7	0.506	0.030	0.030	0.082	0.082
392	IN	=~	Q5_6	0.503	0.033	0.025	0.025	0.025
877	Q5_2	~~	Q7_5	0.495	-0.034	-0.034	-0.074	-0.074
542	Q4_4	~~	Q4_8	0.495	-0.025	-0.025	-0.075	-0.075
500	Q4_2	~~	Q7_5	0.492	-0.031	-0.031	-0.081	-0.081
602	Q4_5	~~	Q7_5	0.491	-0.034	-0.034	-0.092	-0.092
573	Q4_4	~~	Q7_13	0.487	-0.036	-0.036	-0.076	-0.076
665	Q4_9	~~	Q7_5	0.486	0.031	0.031	0.076	0.076
729	Q4_11	~~	Q7_14	0.485	-0.035	-0.035	-0.085	-0.085
1004	Q6_1	~~	Q6_6	0.482	-0.029	-0.029	-0.086	-0.086
581	Q4_5	~~	Q4_17	0.481	0.027	0.027	0.061	0.061
657	Q4_9	~~	Q6_4	0.479	-0.032	-0.032	-0.083	-0.083
1097	Q6_8	~~	Q7_12	0.478	-0.033	-0.033	-0.086	-0.086
943	Q5_5	~~	Q7_12	0.474	0.032	0.032	0.083	0.083
807	Q4_17	~~	Q7_8	0.469	0.032	0.032	0.071	0.071
651	Q4_9	~~	Q5_6	0.466	0.031	0.031	0.080	0.080
845	Q5_1	~~	Q6_3	0.465	0.034	0.034	0.091	0.091
731	Q4_15	~~	Q4_17	0.446	0.029	0.029	0.063	0.063
978	Q5_8	~~	Q7_7	0.442	0.031	0.031	0.070	0.070
878	Q5_2	~~	Q7_7	0.436	-0.033	-0.033	-0.063	-0.063
872	Q5_2	~~	Q6_7	0.435	-0.032	-0.032	-0.101	-0.101
454	Q4_1	~~	Q6_2	0.430	-0.031	-0.031	-0.100	-0.100
614	Q4_8	~~	Q4_18	0.428	-0.021	-0.021	-0.065	-0.065
676	Q4_10	~~	Q5_1	0.418	0.030	0.030	0.084	0.084
650	Q4_9	~~	Q5_5	0.418	-0.034	-0.034	-0.097	-0.097
406	EN	=~	Q4_4	0.417	-0.033	-0.027	-0.027	-0.027
894	Q5_3	~~	Q6_7	0.417	-0.032	-0.032	-0.108	-0.108
544	Q4_4	~~	Q4_10	0.416	0.018	0.018	0.061	0.061
805	Q4_17	~~	Q7_5	0.407	0.030	0.030	0.065	0.065
1062	Q6_5	~~	Q7_2	0.405	-0.031	-0.031	-0.065	-0.065
781	Q4_16	~~	Q7_8	0.403	0.028	0.028	0.071	0.071
458	Q4_1	~~	Q6_6	0.399	-0.030	-0.030	-0.101	-0.101
765	Q4_16	~~	Q5_6	0.393	0.029	0.029	0.074	0.074
689	Q4_10	~~	Q6_6	0.392	0.030	0.030	0.101	0.101
926	Q5_5	~~	Q5_6	0.386	-0.021	-0.021	-0.066	-0.066
1055	Q6_4	~~	Q7_12	0.377	-0.031	-0.031	-0.073	-0.073
756	Q4_15	~~	Q7_13	0.374	-0.032	-0.032	-0.057	-0.057
613	Q4_8	~~	Q4_17	0.374	-0.025	-0.025	-0.053	-0.053
801	Q4_17	~~	Q6_8	0.363	0.030	0.030	0.075	0.075
742	Q4_15	~~	Q6_2	0.345	-0.028	-0.028	-0.084	-0.084
856	Q5_1	~~	Q7_8	0.343	-0.027	-0.027	-0.070	-0.070
366	SC	=~	Q7_2	0.342	0.046	0.036	0.036	0.036
490	Q4_2	~~	Q6_2	0.340	-0.028	-0.028	-0.082	-0.082
937	Q5_5	~~	Q6_11	0.337	0.027	0.027	0.098	0.098
399	IN	=~	Q7_8	0.336	-0.038	-0.029	-0.029	-0.029
960	Q5_6	~~	Q7_7	0.329	0.025	0.025	0.060	0.060
515	Q4_3	~~	Q4_18	0.313	0.016	0.016	0.060	0.060
986	Q5_12	~~	Q6_4	0.311	0.026	0.026	0.073	0.073
634	Q4_8	~~	Q7_5	0.306	0.025	0.025	0.065	0.065
795	Q4_17	~~	Q6_2	0.301	-0.029	-0.029	-0.071	-0.071
625	Q4_8	~~	Q6_3	0.298	-0.026	-0.026	-0.069	-0.069
338	EL	=~	Q7_5	0.293	0.030	0.024	0.024	0.024
598	Q4_5	~~	Q6_8	0.281	-0.024	-0.024	-0.075	-0.075
787	Q4_17	~~	Q5_2	0.276	-0.028	-0.028	-0.051	-0.051
866	Q5_2	~~	Q6_1	0.276	-0.029	-0.029	-0.060	-0.060
1074	Q6_6	~~	Q7_4	0.269	0.025	0.025	0.067	0.067
782	Q4_16	~~	Q7_12	0.263	-0.027	-0.027	-0.056	-0.056
465	Q4_1	~~	Q7_7	0.262	-0.027	-0.027	-0.065	-0.065
450	Q4_1	~~	Q5_6	0.257	0.024	0.024	0.069	0.069
616	Q4_8	~~	Q5_2	0.253	-0.025	-0.025	-0.053	-0.053
592	Q4_5	~~	Q6_2	0.253	0.023	0.023	0.070	0.070
780	Q4_16	~~	Q7_7	0.251	-0.027	-0.027	-0.058	-0.058
362	SC	=~	Q6_6	0.250	0.025	0.019	0.019	0.019
368	SC	=~	Q7_5	0.248	0.038	0.029	0.029	0.029
844	Q5_1	~~	Q6_2	0.247	0.025	0.025	0.074	0.074
691	Q4_10	~~	Q6_8	0.247	-0.023	-0.023	-0.078	-0.078
591	Q4_5	~~	Q6_1	0.243	-0.026	-0.026	-0.067	-0.067
904	Q5_3	~~	Q7_14	0.242	0.023	0.023	0.046	0.046
997	Q5_12	~~	Q7_12	0.241	0.023	0.023	0.052	0.052
826	Q4_18	~~	Q6_8	0.238	0.023	0.023	0.083	0.083
417	EN	=~	Q5_2	0.237	0.033	0.027	0.027	0.027
654	Q4_9	~~	Q6_1	0.237	0.026	0.026	0.060	0.060
771	Q4_16	~~	Q6_4	0.236	-0.024	-0.024	-0.062	-0.062
601	Q4_5	~~	Q7_4	0.225	-0.025	-0.025	-0.058	-0.058
640	Q4_9	~~	Q4_10	0.223	-0.018	-0.018	-0.050	-0.050
510	Q4_3	~~	Q4_10	0.220	-0.016	-0.016	-0.054	-0.054
867	Q5_2	~~	Q6_2	0.214	0.022	0.022	0.055	0.055
766	Q4_16	~~	Q5_8	0.213	0.021	0.021	0.052	0.052
798	Q4_17	~~	Q6_5	0.211	0.026	0.026	0.041	0.041
938	Q5_5	~~	Q7_2	0.210	-0.021	-0.021	-0.070	-0.070
773	Q4_16	~~	Q6_6	0.210	-0.023	-0.023	-0.065	-0.065
1084	Q6_7	~~	Q7_4	0.208	0.021	0.021	0.068	0.068
862	Q5_2	~~	Q5_5	0.208	-0.020	-0.020	-0.051	-0.051
383	IN	=~	Q4_15	0.205	0.026	0.020	0.020	0.020
873	Q5_2	~~	Q6_8	0.203	0.022	0.022	0.055	0.055
923	Q5_4	~~	Q7_12	0.201	0.020	0.020	0.049	0.049
998	Q5_12	~~	Q7_13	0.197	0.021	0.021	0.038	0.038
855	Q5_1	~~	Q7_7	0.195	0.021	0.021	0.047	0.047
1021	Q6_2	~~	Q6_8	0.189	0.013	0.013	0.045	0.045
662	Q4_9	~~	Q6_11	0.183	0.020	0.020	0.059	0.059
959	Q5_6	~~	Q7_5	0.180	0.018	0.018	0.049	0.049
1006	Q6_1	~~	Q6_8	0.175	-0.016	-0.016	-0.047	-0.047
975	Q5_8	~~	Q7_2	0.174	-0.019	-0.019	-0.053	-0.053
378	IN	=~	Q4_5	0.173	-0.023	-0.017	-0.017	-0.017
563	Q4_4	~~	Q6_6	0.171	0.019	0.019	0.068	0.068
576	Q4_5	~~	Q4_9	0.169	0.016	0.016	0.040	0.040
577	Q4_5	~~	Q4_10	0.168	0.013	0.013	0.039	0.039
924	Q5_4	~~	Q7_13	0.160	-0.020	-0.020	-0.038	-0.038
446	Q4_1	~~	Q5_2	0.158	-0.020	-0.020	-0.048	-0.048
711	Q4_11	~~	Q5_8	0.155	-0.019	-0.019	-0.055	-0.055
964	Q5_6	~~	Q7_14	0.153	0.019	0.019	0.042	0.042
1067	Q6_5	~~	Q7_12	0.151	0.020	0.020	0.033	0.033
556	Q4_4	~~	Q5_8	0.145	-0.017	-0.017	-0.054	-0.054
414	EN	=~	Q4_17	0.138	-0.021	-0.018	-0.018	-0.018
852	Q5_1	~~	Q7_2	0.133	0.016	0.016	0.046	0.046
457	Q4_1	~~	Q6_5	0.133	0.019	0.019	0.041	0.041
829	Q4_18	~~	Q7_4	0.132	0.017	0.017	0.046	0.046
582	Q4_5	~~	Q4_18	0.128	-0.011	-0.011	-0.035	-0.035
670	Q4_9	~~	Q7_14	0.126	-0.020	-0.020	-0.040	-0.040
334	EL	=~	Q6_8	0.123	-0.017	-0.014	-0.014	-0.014
590	Q4_5	~~	Q5_12	0.122	0.017	0.017	0.046	0.046
489	Q4_2	~~	Q6_1	0.116	-0.018	-0.018	-0.044	-0.044
783	Q4_16	~~	Q7_13	0.114	-0.018	-0.018	-0.030	-0.030
870	Q5_2	~~	Q6_5	0.108	0.018	0.018	0.029	0.029
678	Q4_10	~~	Q5_3	0.106	-0.016	-0.016	-0.040	-0.040
685	Q4_10	~~	Q6_2	0.106	-0.016	-0.016	-0.051	-0.051
611	Q4_8	~~	Q4_15	0.105	0.011	0.011	0.028	0.028
584	Q4_5	~~	Q5_2	0.105	-0.016	-0.016	-0.036	-0.036
933	Q5_5	~~	Q6_5	0.102	-0.018	-0.018	-0.040	-0.040
957	Q5_6	~~	Q7_2	0.101	-0.015	-0.015	-0.044	-0.044
579	Q4_5	~~	Q4_15	0.100	-0.011	-0.011	-0.030	-0.030
655	Q4_9	~~	Q6_2	0.099	-0.014	-0.014	-0.040	-0.040
550	Q4_4	~~	Q5_1	0.098	0.014	0.014	0.043	0.043
477	Q4_2	~~	Q4_15	0.098	-0.012	-0.012	-0.032	-0.032
972	Q5_8	~~	Q6_7	0.097	-0.014	-0.014	-0.052	-0.052
466	Q4_1	~~	Q7_8	0.097	0.014	0.014	0.039	0.039
444	Q4_1	~~	Q4_18	0.096	0.009	0.009	0.032	0.032
1058	Q6_5	~~	Q6_6	0.096	0.015	0.015	0.034	0.034
562	Q4_4	~~	Q6_5	0.096	-0.019	-0.019	-0.043	-0.043
743	Q4_15	~~	Q6_3	0.095	-0.016	-0.016	-0.043	-0.043
755	Q4_15	~~	Q7_12	0.092	-0.015	-0.015	-0.033	-0.033
642	Q4_9	~~	Q4_15	0.092	0.011	0.011	0.027	0.027
728	Q4_11	~~	Q7_13	0.092	0.015	0.015	0.029	0.029
1071	Q6_6	~~	Q6_8	0.092	0.010	0.010	0.035	0.035
819	Q4_18	~~	Q6_1	0.091	-0.014	-0.014	-0.040	-0.040
1069	Q6_5	~~	Q7_14	0.086	-0.016	-0.016	-0.025	-0.025
569	Q4_4	~~	Q7_5	0.083	-0.012	-0.012	-0.037	-0.037
941	Q5_5	~~	Q7_7	0.083	-0.013	-0.013	-0.034	-0.034
812	Q4_18	~~	Q5_2	0.082	0.014	0.014	0.038	0.038
1098	Q6_8	~~	Q7_13	0.081	-0.014	-0.014	-0.029	-0.029
859	Q5_1	~~	Q7_14	0.080	-0.014	-0.014	-0.030	-0.030
969	Q5_8	~~	Q6_4	0.078	0.013	0.013	0.035	0.035
739	Q4_15	~~	Q5_8	0.077	0.013	0.013	0.032	0.032
541	Q4_4	~~	Q4_5	0.076	-0.010	-0.010	-0.031	-0.031
992	Q5_12	~~	Q7_2	0.073	0.011	0.011	0.033	0.033
1037	Q6_3	~~	Q7_2	0.071	-0.012	-0.012	-0.035	-0.035
1063	Q6_5	~~	Q7_4	0.070	-0.014	-0.014	-0.023	-0.023
369	SC	=~	Q7_7	0.070	0.021	0.016	0.016	0.016
794	Q4_17	~~	Q6_1	0.069	0.015	0.015	0.030	0.030
1081	Q6_7	~~	Q6_8	0.069	0.007	0.007	0.031	0.031
603	Q4_5	~~	Q7_7	0.066	0.013	0.013	0.031	0.031
570	Q4_4	~~	Q7_7	0.064	-0.012	-0.012	-0.033	-0.033
813	Q4_18	~~	Q5_3	0.064	-0.012	-0.012	-0.032	-0.032
897	Q5_3	~~	Q7_2	0.064	-0.012	-0.012	-0.031	-0.031
706	Q4_11	~~	Q5_2	0.064	0.012	0.012	0.030	0.030
796	Q4_17	~~	Q6_3	0.064	0.013	0.013	0.028	0.028
528	Q4_3	~~	Q6_5	0.063	-0.015	-0.015	-0.034	-0.034
557	Q4_4	~~	Q5_12	0.062	-0.011	-0.011	-0.036	-0.036
699	Q4_10	~~	Q7_13	0.059	-0.012	-0.012	-0.023	-0.023
538	Q4_3	~~	Q7_12	0.058	-0.012	-0.012	-0.032	-0.032
951	Q5_6	~~	Q6_4	0.058	-0.012	-0.012	-0.034	-0.034
497	Q4_2	~~	Q6_11	0.057	0.011	0.011	0.034	0.034
681	Q4_10	~~	Q5_6	0.057	0.010	0.010	0.030	0.030
1033	Q6_3	~~	Q6_6	0.057	0.008	0.008	0.026	0.026
1108	Q7_2	~~	Q7_4	0.057	-0.010	-0.010	-0.024	-0.024
1051	Q6_4	~~	Q7_4	0.053	-0.011	-0.011	-0.025	-0.025
633	Q4_8	~~	Q7_4	0.053	-0.011	-0.011	-0.026	-0.026
985	Q5_12	~~	Q6_3	0.051	0.011	0.011	0.030	0.030
524	Q4_3	~~	Q6_1	0.050	0.012	0.012	0.033	0.033
518	Q4_3	~~	Q5_3	0.049	0.010	0.010	0.029	0.029
953	Q5_6	~~	Q6_6	0.049	0.011	0.011	0.036	0.036
764	Q4_16	~~	Q5_5	0.048	-0.011	-0.011	-0.032	-0.032
1089	Q6_7	~~	Q7_13	0.047	-0.011	-0.011	-0.027	-0.027
1087	Q6_7	~~	Q7_8	0.047	0.009	0.009	0.034	0.034
983	Q5_12	~~	Q6_1	0.047	0.011	0.011	0.027	0.027
1077	Q6_6	~~	Q7_8	0.044	-0.009	-0.009	-0.030	-0.030
494	Q4_2	~~	Q6_6	0.041	-0.010	-0.010	-0.030	-0.030
664	Q4_9	~~	Q7_4	0.039	0.010	0.010	0.022	0.022
578	Q4_5	~~	Q4_11	0.038	-0.007	-0.007	-0.022	-0.022
944	Q5_5	~~	Q7_13	0.037	0.010	0.010	0.020	0.020
703	Q4_11	~~	Q4_17	0.034	0.008	0.008	0.019	0.019
1065	Q6_5	~~	Q7_7	0.034	0.010	0.010	0.017	0.017
682	Q4_10	~~	Q5_8	0.034	-0.008	-0.008	-0.022	-0.022
452	Q4_1	~~	Q5_12	0.034	-0.009	-0.009	-0.025	-0.025
899	Q5_3	~~	Q7_5	0.033	0.008	0.008	0.019	0.019
774	Q4_16	~~	Q6_7	0.033	-0.008	-0.008	-0.029	-0.029
971	Q5_8	~~	Q6_6	0.033	-0.009	-0.009	-0.028	-0.028
534	Q4_3	~~	Q7_4	0.032	0.009	0.009	0.023	0.023
977	Q5_8	~~	Q7_5	0.031	0.007	0.007	0.019	0.019
806	Q4_17	~~	Q7_7	0.031	0.009	0.009	0.017	0.017
473	Q4_2	~~	Q4_8	0.029	0.006	0.006	0.015	0.015
861	Q5_2	~~	Q5_4	0.027	-0.007	-0.007	-0.017	-0.017
493	Q4_2	~~	Q6_5	0.027	0.009	0.009	0.017	0.017
695	Q4_10	~~	Q7_5	0.026	-0.007	-0.007	-0.020	-0.020
644	Q4_9	~~	Q4_17	0.025	-0.007	-0.007	-0.015	-0.015
486	Q4_2	~~	Q5_6	0.025	-0.008	-0.008	-0.021	-0.021
885	Q5_3	~~	Q5_6	0.022	0.006	0.006	0.014	0.014
504	Q4_2	~~	Q7_13	0.021	0.007	0.007	0.012	0.012
816	Q4_18	~~	Q5_6	0.020	0.007	0.007	0.022	0.022
686	Q4_10	~~	Q6_3	0.020	-0.007	-0.007	-0.021	-0.021
623	Q4_8	~~	Q6_1	0.018	0.006	0.006	0.015	0.015
496	Q4_2	~~	Q6_8	0.018	-0.006	-0.006	-0.018	-0.018
631	Q4_8	~~	Q6_11	0.018	-0.006	-0.006	-0.018	-0.018
797	Q4_17	~~	Q6_4	0.017	-0.007	-0.007	-0.015	-0.015
513	Q4_3	~~	Q4_16	0.017	-0.005	-0.005	-0.014	-0.014
970	Q5_8	~~	Q6_5	0.016	0.007	0.007	0.013	0.013
595	Q4_5	~~	Q6_5	0.015	-0.007	-0.007	-0.013	-0.013
412	EN	=~	Q4_15	0.013	-0.006	-0.005	-0.005	-0.005
641	Q4_9	~~	Q4_11	0.013	-0.004	-0.004	-0.012	-0.012
1050	Q6_4	~~	Q7_2	0.013	0.005	0.005	0.015	0.015
1064	Q6_5	~~	Q7_5	0.013	-0.005	-0.005	-0.011	-0.011
495	Q4_2	~~	Q6_7	0.012	-0.005	-0.005	-0.018	-0.018
529	Q4_3	~~	Q6_6	0.012	0.005	0.005	0.020	0.020
1106	Q6_11	~~	Q7_13	0.010	0.005	0.005	0.010	0.010
320	EL	=~	Q5_2	0.009	0.004	0.003	0.003	0.003
738	Q4_15	~~	Q5_6	0.009	0.004	0.004	0.012	0.012
673	Q4_10	~~	Q4_16	0.009	-0.004	-0.004	-0.010	-0.010
881	Q5_2	~~	Q7_13	0.009	-0.005	-0.005	-0.007	-0.007
652	Q4_9	~~	Q5_8	0.009	0.004	0.004	0.011	0.011
827	Q4_18	~~	Q6_11	0.009	0.004	0.004	0.015	0.015
698	Q4_10	~~	Q7_12	0.008	-0.004	-0.004	-0.011	-0.011
824	Q4_18	~~	Q6_6	0.007	0.004	0.004	0.015	0.015
847	Q5_1	~~	Q6_5	0.007	-0.005	-0.005	-0.009	-0.009
1096	Q6_8	~~	Q7_8	0.007	0.003	0.003	0.011	0.011
710	Q4_11	~~	Q5_6	0.006	0.004	0.004	0.011	0.011
804	Q4_17	~~	Q7_4	0.006	-0.004	-0.004	-0.008	-0.008
1056	Q6_4	~~	Q7_13	0.006	0.004	0.004	0.007	0.007
858	Q5_1	~~	Q7_13	0.006	-0.004	-0.004	-0.006	-0.006
626	Q4_8	~~	Q6_4	0.006	-0.003	-0.003	-0.009	-0.009
596	Q4_5	~~	Q6_6	0.005	0.003	0.003	0.011	0.011
499	Q4_2	~~	Q7_4	0.005	-0.003	-0.003	-0.007	-0.007
549	Q4_4	~~	Q4_18	0.005	0.002	0.002	0.008	0.008
645	Q4_9	~~	Q4_18	0.005	0.003	0.003	0.007	0.007
552	Q4_4	~~	Q5_3	0.005	-0.003	-0.003	-0.009	-0.009
523	Q4_3	~~	Q5_12	0.003	-0.003	-0.003	-0.009	-0.009
868	Q5_2	~~	Q6_3	0.003	-0.003	-0.003	-0.006	-0.006
828	Q4_18	~~	Q7_2	0.003	-0.002	-0.002	-0.009	-0.009
886	Q5_3	~~	Q5_8	0.002	-0.002	-0.002	-0.004	-0.004
759	Q4_16	~~	Q4_18	0.001	0.001	0.001	0.004	0.004
666	Q4_9	~~	Q7_7	0.001	-0.002	-0.002	-0.004	-0.004
677	Q4_10	~~	Q5_2	0.001	0.002	0.002	0.004	0.004
684	Q4_10	~~	Q6_1	0.001	-0.002	-0.002	-0.005	-0.005
744	Q4_15	~~	Q6_4	0.001	-0.001	-0.001	-0.004	-0.004
1038	Q6_3	~~	Q7_4	0.000	0.001	0.001	0.002	0.002
348	SC	=~	Q4_5	0.000	0.001	0.001	0.001	0.001
483	Q4_2	~~	Q5_3	0.000	0.001	0.001	0.001	0.001
853	Q5_1	~~	Q7_4	0.000	0.001	0.001	0.001	0.001
688	Q4_10	~~	Q6_5	0.000	0.000	0.000	0.001	0.001
778	Q4_16	~~	Q7_4	0.000	0.000	0.000	0.000	0.000

Modified Model

mod2 <- "
EL =~ Q4_3 + Q4_4 + Q4_5 + Q4_9 + Q4_11 + Q4_15 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_5 + Q5_6 + Q5_12
IN =~ Q6_2 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_14

EL ~~ EL + SC + IN + EN
SC ~~ SC + IN + EN
IN ~~ IN + EN
EN ~~ EN
"

fit2 <- lavaan::cfa(mod2, data=mydata, ordered=T)

Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -6.473428e-18) is smaller than zero. This may be a symptom that
    the model is not identified.

summary(fit2, standardized=T, fit.measures=T)

lavaan 0.6-7 ended normally after 56 iterations

  Estimator                                       DWLS
  Optimization method                           NLMINB
  Number of free parameters                        131
                                                      
  Number of observations                           312
                                                      
Model Test User Model:
                                              Standard      Robust
  Test Statistic                               721.379     903.780
  Degrees of freedom                               269         269
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  0.930
  Shift parameter                                          127.979
       simple second-order correction                             

Model Test Baseline Model:

  Test statistic                             45265.499   10049.784
  Degrees of freedom                               300         300
  P-value                                        0.000       0.000
  Scaling correction factor                                  4.612

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.990       0.935
  Tucker-Lewis Index (TLI)                       0.989       0.927
                                                                  
  Robust Comparative Fit Index (CFI)                            NA
  Robust Tucker-Lewis Index (TLI)                               NA

Root Mean Square Error of Approximation:

  RMSEA                                          0.074       0.087
  90 Percent confidence interval - lower         0.067       0.081
  90 Percent confidence interval - upper         0.080       0.093
  P-value RMSEA <= 0.05                          0.000       0.000
                                                                  
  Robust RMSEA                                                  NA
  90 Percent confidence interval - lower                        NA
  90 Percent confidence interval - upper                        NA

Standardized Root Mean Square Residual:

  SRMR                                           0.061       0.061

Parameter Estimates:

  Standard errors                           Robust.sem
  Information                                 Expected
  Information saturated (h1) model        Unstructured

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL =~                                                                 
    Q4_3              1.000                               0.825    0.825
    Q4_4              1.043    0.030   35.333    0.000    0.860    0.860
    Q4_5              0.963    0.033   29.279    0.000    0.794    0.794
    Q4_9              0.921    0.039   23.459    0.000    0.759    0.759
    Q4_11             1.034    0.035   29.534    0.000    0.853    0.853
    Q4_15             0.925    0.033   27.602    0.000    0.762    0.762
    Q4_18             1.019    0.031   32.791    0.000    0.840    0.840
  SC =~                                                                 
    Q5_1              1.000                               0.756    0.756
    Q5_2              0.866    0.049   17.506    0.000    0.655    0.655
    Q5_3              0.919    0.054   16.868    0.000    0.695    0.695
    Q5_5              0.911    0.050   18.410    0.000    0.689    0.689
    Q5_6              1.008    0.054   18.844    0.000    0.763    0.763
    Q5_12             1.016    0.055   18.456    0.000    0.769    0.769
  IN =~                                                                 
    Q6_2              1.000                               0.737    0.737
    Q6_5              0.741    0.057   12.890    0.000    0.546    0.546
    Q6_6              1.147    0.048   23.856    0.000    0.845    0.845
    Q6_7              1.207    0.051   23.562    0.000    0.889    0.889
    Q6_8              1.128    0.046   24.499    0.000    0.831    0.831
    Q6_11             1.145    0.051   22.488    0.000    0.843    0.843
  EN =~                                                                 
    Q7_2              1.000                               0.821    0.821
    Q7_4              0.853    0.037   23.330    0.000    0.700    0.700
    Q7_5              0.963    0.037   26.233    0.000    0.791    0.791
    Q7_7              0.822    0.045   18.379    0.000    0.675    0.675
    Q7_8              0.956    0.039   24.696    0.000    0.785    0.785
    Q7_14             0.759    0.047   16.309    0.000    0.623    0.623

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  EL ~~                                                                 
    SC                0.428    0.033   12.881    0.000    0.686    0.686
    IN                0.460    0.033   13.834    0.000    0.757    0.757
    EN                0.511    0.030   16.817    0.000    0.755    0.755
  SC ~~                                                                 
    IN                0.394    0.034   11.763    0.000    0.708    0.708
    EN                0.515    0.033   15.681    0.000    0.828    0.828
  IN ~~                                                                 
    EN                0.489    0.032   15.303    0.000    0.808    0.808

Intercepts:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .Q4_3              0.000                               0.000    0.000
   .Q4_4              0.000                               0.000    0.000
   .Q4_5              0.000                               0.000    0.000
   .Q4_9              0.000                               0.000    0.000
   .Q4_11             0.000                               0.000    0.000
   .Q4_15             0.000                               0.000    0.000
   .Q4_18             0.000                               0.000    0.000
   .Q5_1              0.000                               0.000    0.000
   .Q5_2              0.000                               0.000    0.000
   .Q5_3              0.000                               0.000    0.000
   .Q5_5              0.000                               0.000    0.000
   .Q5_6              0.000                               0.000    0.000
   .Q5_12             0.000                               0.000    0.000
   .Q6_2              0.000                               0.000    0.000
   .Q6_5              0.000                               0.000    0.000
   .Q6_6              0.000                               0.000    0.000
   .Q6_7              0.000                               0.000    0.000
   .Q6_8              0.000                               0.000    0.000
   .Q6_11             0.000                               0.000    0.000
   .Q7_2              0.000                               0.000    0.000
   .Q7_4              0.000                               0.000    0.000
   .Q7_5              0.000                               0.000    0.000
   .Q7_7              0.000                               0.000    0.000
   .Q7_8              0.000                               0.000    0.000
   .Q7_14             0.000                               0.000    0.000
    EL                0.000                               0.000    0.000
    SC                0.000                               0.000    0.000
    IN                0.000                               0.000    0.000
    EN                0.000                               0.000    0.000

Thresholds:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Q4_3|t1          -1.198    0.093  -12.870    0.000   -1.198   -1.198
    Q4_3|t2           0.040    0.071    0.565    0.572    0.040    0.040
    Q4_3|t3           1.449    0.106   13.658    0.000    1.449    1.449
    Q4_3|t4           2.006    0.157   12.746    0.000    2.006    2.006
    Q4_4|t1          -1.150    0.091  -12.627    0.000   -1.150   -1.150
    Q4_4|t2          -0.153    0.071   -2.147    0.032   -0.153   -0.153
    Q4_4|t3           1.426    0.105   13.620    0.000    1.426    1.426
    Q4_4|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q4_5|t1          -0.930    0.083  -11.142    0.000   -0.930   -0.930
    Q4_5|t2           0.448    0.074    6.082    0.000    0.448    0.448
    Q4_5|t3           1.383    0.102   13.529    0.000    1.383    1.383
    Q4_5|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q4_9|t1          -0.955    0.084  -11.340    0.000   -0.955   -0.955
    Q4_9|t2           0.235    0.072    3.275    0.001    0.235    0.235
    Q4_9|t3           1.090    0.089   12.282    0.000    1.090    1.090
    Q4_9|t4           2.070    0.166   12.448    0.000    2.070    2.070
    Q4_11|t1         -1.007    0.086  -11.727    0.000   -1.007   -1.007
    Q4_11|t2          0.032    0.071    0.452    0.651    0.032    0.032
    Q4_11|t3          1.150    0.091   12.627    0.000    1.150    1.150
    Q4_11|t4          2.006    0.157   12.746    0.000    2.006    2.006
    Q4_15|t1         -0.905    0.083  -10.941    0.000   -0.905   -0.905
    Q4_15|t2          0.302    0.072    4.176    0.000    0.302    0.302
    Q4_15|t3          1.342    0.100   13.421    0.000    1.342    1.342
    Q4_15|t4          2.489    0.251    9.915    0.000    2.489    2.489
    Q4_18|t1         -1.105    0.089  -12.370    0.000   -1.105   -1.105
    Q4_18|t2          0.413    0.073    5.635    0.000    0.413    0.413
    Q4_18|t3          1.521    0.111   13.738    0.000    1.521    1.521
    Q4_18|t4          2.489    0.251    9.915    0.000    2.489    2.489
    Q5_1|t1          -1.076    0.088  -12.192    0.000   -1.076   -1.076
    Q5_1|t2           0.008    0.071    0.113    0.910    0.008    0.008
    Q5_1|t3           1.020    0.086   11.822    0.000    1.020    1.020
    Q5_1|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q5_2|t1          -1.323    0.099  -13.362    0.000   -1.323   -1.323
    Q5_2|t2          -0.521    0.075   -6.972    0.000   -0.521   -0.521
    Q5_2|t3           0.502    0.074    6.750    0.000    0.502    0.502
    Q5_2|t4           1.697    0.124   13.669    0.000    1.697    1.697
    Q5_3|t1          -1.020    0.086  -11.822    0.000   -1.020   -1.020
    Q5_3|t2          -0.048    0.071   -0.678    0.498   -0.048   -0.048
    Q5_3|t3           0.881    0.082   10.738    0.000    0.881    0.881
    Q5_3|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q5_5|t1          -1.521    0.111  -13.738    0.000   -1.521   -1.521
    Q5_5|t2          -0.823    0.081  -10.222    0.000   -0.823   -0.823
    Q5_5|t3          -0.302    0.072   -4.176    0.000   -0.302   -0.302
    Q5_5|t4           1.267    0.096   13.166    0.000    1.267    1.267
    Q5_6|t1          -1.449    0.106  -13.658    0.000   -1.449   -1.449
    Q5_6|t2          -0.457    0.074   -6.194    0.000   -0.457   -0.457
    Q5_6|t3           0.812    0.080   10.117    0.000    0.812    0.812
    Q5_6|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q5_12|t1         -1.120    0.090  -12.457    0.000   -1.120   -1.120
    Q5_12|t2         -0.466    0.074   -6.305    0.000   -0.466   -0.466
    Q5_12|t3          0.801    0.080   10.012    0.000    0.801    0.801
    Q5_12|t4          1.697    0.124   13.669    0.000    1.697    1.697
    Q6_2|t1          -0.605    0.076   -7.965    0.000   -0.605   -0.605
    Q6_2|t2           0.790    0.080    9.907    0.000    0.790    0.790
    Q6_2|t3           1.362    0.101   13.477    0.000    1.362    1.362
    Q6_2|t4           2.144    0.178   12.067    0.000    2.144    2.144
    Q6_5|t1          -0.779    0.079   -9.801    0.000   -0.779   -0.779
    Q6_5|t2           0.293    0.072    4.064    0.000    0.293    0.293
    Q6_5|t3           0.905    0.083   10.941    0.000    0.905    0.905
    Q6_5|t4           1.732    0.127   13.613    0.000    1.732    1.732
    Q6_6|t1          -0.353    0.073   -4.851    0.000   -0.353   -0.353
    Q6_6|t2           1.120    0.090   12.457    0.000    1.120    1.120
    Q6_6|t3           1.732    0.127   13.613    0.000    1.732    1.732
    Q6_6|t4           2.489    0.251    9.915    0.000    2.489    2.489
    Q6_7|t1          -0.674    0.077   -8.729    0.000   -0.674   -0.674
    Q6_7|t2           0.558    0.075    7.415    0.000    0.558    0.558
    Q6_7|t3           1.521    0.111   13.738    0.000    1.521    1.521
    Q6_7|t4           2.341    0.215   10.896    0.000    2.341    2.341
    Q6_8|t1          -0.846    0.081  -10.430    0.000   -0.846   -0.846
    Q6_8|t2           0.577    0.076    7.636    0.000    0.577    0.577
    Q6_8|t3           1.574    0.114   13.756    0.000    1.574    1.574
    Q6_8|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q6_11|t1         -1.047    0.087  -12.009    0.000   -1.047   -1.047
    Q6_11|t2         -0.370    0.073   -5.075    0.000   -0.370   -0.370
    Q6_11|t3          0.980    0.085   11.535    0.000    0.980    0.980
    Q6_11|t4          1.898    0.144   13.171    0.000    1.898    1.898
    Q7_2|t1          -1.076    0.088  -12.192    0.000   -1.076   -1.076
    Q7_2|t2          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_2|t3           1.215    0.094   12.947    0.000    1.215    1.215
    Q7_2|t4           2.232    0.193   11.570    0.000    2.232    2.232
    Q7_4|t1          -1.267    0.096  -13.166    0.000   -1.267   -1.267
    Q7_4|t2          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_4|t3           0.869    0.082   10.636    0.000    0.869    0.869
    Q7_4|t4           1.851    0.139   13.323    0.000    1.851    1.851
    Q7_5|t1          -1.182    0.092  -12.791    0.000   -1.182   -1.182
    Q7_5|t2          -0.530    0.075   -7.083    0.000   -0.530   -0.530
    Q7_5|t3           0.980    0.085   11.535    0.000    0.980    0.980
    Q7_5|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q7_7|t1          -1.547    0.113  -13.751    0.000   -1.547   -1.547
    Q7_7|t2          -0.917    0.083  -11.041    0.000   -0.917   -0.917
    Q7_7|t3          -0.422    0.073   -5.747    0.000   -0.422   -0.422
    Q7_7|t4           1.062    0.088   12.101    0.000    1.062    1.062
    Q7_8|t1          -1.285    0.097  -13.235    0.000   -1.285   -1.285
    Q7_8|t2          -0.493    0.074   -6.639    0.000   -0.493   -0.493
    Q7_8|t3           0.893    0.082   10.840    0.000    0.893    0.893
    Q7_8|t4           1.769    0.131   13.539    0.000    1.769    1.769
    Q7_14|t1         -1.633    0.119  -13.736    0.000   -1.633   -1.633
    Q7_14|t2         -1.007    0.086  -11.727    0.000   -1.007   -1.007
    Q7_14|t3         -0.277    0.072   -3.839    0.000   -0.277   -0.277
    Q7_14|t4          0.993    0.085   11.632    0.000    0.993    0.993

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    EL                0.680    0.036   19.131    0.000    1.000    1.000
    SC                0.572    0.045   12.588    0.000    1.000    1.000
    IN                0.543    0.043   12.614    0.000    1.000    1.000
    EN                0.675    0.041   16.526    0.000    1.000    1.000
   .Q4_3              0.320                               0.320    0.320
   .Q4_4              0.261                               0.261    0.261
   .Q4_5              0.369                               0.369    0.369
   .Q4_9              0.423                               0.423    0.423
   .Q4_11             0.272                               0.272    0.272
   .Q4_15             0.419                               0.419    0.419
   .Q4_18             0.294                               0.294    0.294
   .Q5_1              0.428                               0.428    0.428
   .Q5_2              0.571                               0.571    0.571
   .Q5_3              0.517                               0.517    0.517
   .Q5_5              0.525                               0.525    0.525
   .Q5_6              0.418                               0.418    0.418
   .Q5_12             0.409                               0.409    0.409
   .Q6_2              0.457                               0.457    0.457
   .Q6_5              0.702                               0.702    0.702
   .Q6_6              0.286                               0.286    0.286
   .Q6_7              0.210                               0.210    0.210
   .Q6_8              0.309                               0.309    0.309
   .Q6_11             0.289                               0.289    0.289
   .Q7_2              0.325                               0.325    0.325
   .Q7_4              0.509                               0.509    0.509
   .Q7_5              0.375                               0.375    0.375
   .Q7_7              0.544                               0.544    0.544
   .Q7_8              0.383                               0.383    0.383
   .Q7_14             0.612                               0.612    0.612

Scales y*:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
    Q4_3              1.000                               1.000    1.000
    Q4_4              1.000                               1.000    1.000
    Q4_5              1.000                               1.000    1.000
    Q4_9              1.000                               1.000    1.000
    Q4_11             1.000                               1.000    1.000
    Q4_15             1.000                               1.000    1.000
    Q4_18             1.000                               1.000    1.000
    Q5_1              1.000                               1.000    1.000
    Q5_2              1.000                               1.000    1.000
    Q5_3              1.000                               1.000    1.000
    Q5_5              1.000                               1.000    1.000
    Q5_6              1.000                               1.000    1.000
    Q5_12             1.000                               1.000    1.000
    Q6_2              1.000                               1.000    1.000
    Q6_5              1.000                               1.000    1.000
    Q6_6              1.000                               1.000    1.000
    Q6_7              1.000                               1.000    1.000
    Q6_8              1.000                               1.000    1.000
    Q6_11             1.000                               1.000    1.000
    Q7_2              1.000                               1.000    1.000
    Q7_4              1.000                               1.000    1.000
    Q7_5              1.000                               1.000    1.000
    Q7_7              1.000                               1.000    1.000
    Q7_8              1.000                               1.000    1.000
    Q7_14             1.000                               1.000    1.000

MIIV

# get the model implied instrumental variables
miivs(mod1)

Warning in if (trySolve(BetaNA)) {: the condition has length > 1 and only the
first element will be used

Model Equation Information 

 LHS   RHS 
 Q4_2  Q4_1
 Q4_3  Q4_1
 Q4_4  Q4_1
 Q4_5  Q4_1
 Q4_8  Q4_1
 Q4_9  Q4_1
 Q4_10 Q4_1
 Q4_11 Q4_1
 Q4_15 Q4_1
 Q4_16 Q4_1
 Q4_17 Q4_1
 Q4_18 Q4_1
 Q5_2  Q5_1
 Q5_3  Q5_1
 Q5_4  Q5_1
 Q5_5  Q5_1
 Q5_6  Q5_1
 Q5_8  Q5_1
 Q5_12 Q5_1
 Q6_2  Q6_1
 Q6_3  Q6_1
 Q6_4  Q6_1
 Q6_5  Q6_1
 Q6_6  Q6_1
 Q6_7  Q6_1
 Q6_8  Q6_1
 Q6_11 Q6_1
 Q7_4  Q7_2
 Q7_5  Q7_2
 Q7_7  Q7_2
 Q7_8  Q7_2
 Q7_12 Q7_2
 Q7_13 Q7_2
 Q7_14 Q7_2
 MIIVs                                                                                                                                                                                                                            
 Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_3, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_3, Q4_4, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_3, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_3, Q5_4, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_3, Q5_4, Q5_5, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_4, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_4, Q6_5, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14 
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_7, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_8, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_12, Q7_13, Q7_14
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_8, Q7_13, Q7_14 
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_14 
 Q4_1, Q4_2, Q4_3, Q4_4, Q4_5, Q4_8, Q4_9, Q4_10, Q4_11, Q4_15, Q4_16, Q4_17, Q4_18, Q5_1, Q5_2, Q5_3, Q5_4, Q5_5, Q5_6, Q5_8, Q5_12, Q6_1, Q6_2, Q6_3, Q6_4, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_8, Q7_12, Q7_13 

fit1 <- MIIVsem::miive(mod1, data=mydata)

Warning in if (trySolve(BetaNA)) {: the condition has length > 1 and only the
first element will be used

summary(fit1)

MIIVsem (0.5.5) results 

Number of observations                                                    312
Number of equations                                                        34
Estimator                                                           MIIV-2SLS
Standard Errors                                                      standard
Missing                                                              listwise


Parameter Estimates:


STRUCTURAL COEFFICIENTS:
                   Estimate  Std.Err  z-value  P(>|z|)   Sargan   df   P(Chi)
  EL =~                                                                      
    Q4_1              1.000                                                  
    Q4_2              0.821    0.051   16.206    0.000   51.794   35    0.034
    Q4_3              0.981    0.052   18.859    0.000   44.647   35    0.127
    Q4_4              0.955    0.055   17.438    0.000   50.830   35    0.041
    Q4_5              0.821    0.064   12.763    0.000   86.108   35    0.000
    Q4_8              0.749    0.064   11.674    0.000   88.220   35    0.000
    Q4_9              0.750    0.072   10.412    0.000  115.835   35    0.000
    Q4_10             0.800    0.053   15.101    0.000   67.545   35    0.001
    Q4_11             0.912    0.065   13.922    0.000   95.853   35    0.000
    Q4_15             0.790    0.063   12.462    0.000   93.144   35    0.000
    Q4_16             0.841    0.067   12.526    0.000   77.422   35    0.000
    Q4_17             0.657    0.069    9.475    0.000   87.201   35    0.000
    Q4_18             0.845    0.053   15.969    0.000   69.329   35    0.000
  EN =~                                                                      
    Q7_2              1.000                                                  
    Q7_4              0.805    0.067   12.053    0.000   64.839   35    0.002
    Q7_5              0.937    0.067   14.065    0.000   55.025   35    0.017
    Q7_7              0.859    0.078   10.956    0.000   98.286   35    0.000
    Q7_8              0.889    0.066   13.563    0.000   84.433   35    0.000
    Q7_12             0.835    0.082   10.191    0.000  112.128   35    0.000
    Q7_13             0.416    0.088    4.731    0.000  107.430   35    0.000
    Q7_14             0.762    0.081    9.445    0.000  102.089   35    0.000
  IN =~                                                                      
    Q6_1              1.000                                                  
    Q6_2              1.002    0.063   15.957    0.000   81.084   35    0.000
    Q6_3              0.949    0.065   14.561    0.000   78.765   35    0.000
    Q6_4              0.976    0.069   14.114    0.000   79.258   35    0.000
    Q6_5              0.616    0.089    6.923    0.000   63.623   35    0.002
    Q6_6              0.683    0.059   11.525    0.000  122.131   35    0.000
    Q6_7              0.850    0.066   12.801    0.000  118.715   35    0.000
    Q6_8              0.817    0.063   12.886    0.000  100.777   35    0.000
    Q6_11             0.608    0.080    7.556    0.000  132.964   35    0.000
  SC =~                                                                      
    Q5_1              1.000                                                  
    Q5_2              0.846    0.078   10.810    0.000   72.158   35    0.000
    Q5_3              0.944    0.083   11.334    0.000   50.500   35    0.044
    Q5_4              0.813    0.089    9.094    0.000  153.271   35    0.000
    Q5_5              0.834    0.088    9.451    0.000  135.691   35    0.000
    Q5_6              0.774    0.076   10.160    0.000   93.279   35    0.000
    Q5_8              0.823    0.086    9.531    0.000  118.497   35    0.000
    Q5_12             0.798    0.084    9.496    0.000   80.721   35    0.000

INTERCEPTS:
                   Estimate  Std.Err  z-value  P(>|z|)   
    Q4_1              0.000                              
    Q4_10             0.037    0.049    0.749    0.454   
    Q4_11             0.041    0.061    0.680    0.496   
    Q4_15            -0.217    0.059   -3.672    0.000   
    Q4_16            -0.146    0.063   -2.336    0.020   
    Q4_17            -0.497    0.065   -7.707    0.000   
    Q4_18            -0.202    0.049   -4.089    0.000   
    Q4_2             -0.297    0.047   -6.326    0.000   
    Q4_3              0.072    0.048    1.490    0.136   
    Q4_4              0.120    0.051    2.352    0.019   
    Q4_5             -0.245    0.060   -4.092    0.000   
    Q4_8             -0.351    0.060   -5.882    0.000   
    Q4_9             -0.142    0.067   -2.119    0.034   
    Q5_1              0.000                              
    Q5_12             0.183    0.070    2.622    0.009   
    Q5_2              0.360    0.063    5.677    0.000   
    Q5_3              0.041    0.069    0.592    0.554   
    Q5_4              0.844    0.074   11.376    0.000   
    Q5_5              0.847    0.073   11.568    0.000   
    Q5_6              0.217    0.063    3.422    0.001   
    Q5_8              0.233    0.072    3.259    0.001   
    Q6_1              0.000                              
    Q6_11             0.492    0.119    4.123    0.000   
    Q6_2              0.368    0.092    3.984    0.000   
    Q6_3              0.247    0.096    2.560    0.010   
    Q6_4              0.398    0.103    3.881    0.000   
    Q6_5              0.205    0.132    1.549    0.121   
    Q6_6             -0.281    0.088   -3.203    0.001   
    Q6_7              0.235    0.099    2.385    0.017   
    Q6_8              0.232    0.094    2.472    0.013   
    Q7_12             0.676    0.064   10.515    0.000   
    Q7_13             0.640    0.069    9.281    0.000   
    Q7_14             0.829    0.063   13.110    0.000   
    Q7_2              0.000                              
    Q7_4              0.069    0.052    1.325    0.185   
    Q7_5              0.116    0.052    2.214    0.027   
    Q7_7              0.870    0.061   14.172    0.000   
    Q7_8              0.127    0.051    2.491    0.013   

# get the model implied instrumental variables
miivs(mod2)

Warning in if (trySolve(BetaNA)) {: the condition has length > 1 and only the
first element will be used

Model Equation Information 

 LHS   RHS 
 Q4_4  Q4_3
 Q4_5  Q4_3
 Q4_9  Q4_3
 Q4_11 Q4_3
 Q4_15 Q4_3
 Q4_18 Q4_3
 Q5_2  Q5_1
 Q5_3  Q5_1
 Q5_5  Q5_1
 Q5_6  Q5_1
 Q5_12 Q5_1
 Q6_5  Q6_2
 Q6_6  Q6_2
 Q6_7  Q6_2
 Q6_8  Q6_2
 Q6_11 Q6_2
 Q7_4  Q7_2
 Q7_5  Q7_2
 Q7_7  Q7_2
 Q7_8  Q7_2
 Q7_14 Q7_2
 MIIVs                                                                                                                                         
 Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_4, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_4, Q4_5, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_4, Q4_5, Q4_9, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14 
 Q4_4, Q4_5, Q4_9, Q4_11, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14 
 Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14 
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_2, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_2, Q5_3, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_2, Q5_3, Q5_5, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_2, Q5_3, Q5_5, Q5_6, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14 
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_6, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_5, Q6_7, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_5, Q6_6, Q6_8, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_5, Q6_6, Q6_7, Q6_11, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_5, Q6_6, Q6_7, Q6_8, Q7_2, Q7_4, Q7_5, Q7_7, Q7_8, Q7_14 
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_5, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_7, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_8, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_14
 Q4_3, Q4_4, Q4_5, Q4_9, Q4_11, Q4_15, Q4_18, Q5_1, Q5_2, Q5_3, Q5_5, Q5_6, Q5_12, Q6_2, Q6_5, Q6_6, Q6_7, Q6_8, Q6_11, Q7_4, Q7_5, Q7_7, Q7_8 

fit2 <- MIIVsem::miive(mod2, data=mydata)

Warning in if (trySolve(BetaNA)) {: the condition has length > 1 and only the
first element will be used

summary(fit2)

MIIVsem (0.5.5) results 

Number of observations                                                    312
Number of equations                                                        21
Estimator                                                           MIIV-2SLS
Standard Errors                                                      standard
Missing                                                              listwise


Parameter Estimates:


STRUCTURAL COEFFICIENTS:
                   Estimate  Std.Err  z-value  P(>|z|)   Sargan   df   P(Chi)
  EL =~                                                                      
    Q4_3              1.000                                                  
    Q4_4              0.960    0.053   18.216    0.000   43.971   22    0.004
    Q4_5              0.846    0.062   13.536    0.000   44.843   22    0.003
    Q4_9              0.804    0.074   10.892    0.000   72.552   22    0.000
    Q4_11             0.911    0.067   13.584    0.000   78.001   22    0.000
    Q4_15             0.818    0.063   13.052    0.000   60.948   22    0.000
    Q4_18             0.819    0.052   15.809    0.000   65.806   22    0.000
  EN =~                                                                      
    Q7_2              1.000                                                  
    Q7_4              0.824    0.068   12.141    0.000   43.938   22    0.004
    Q7_5              0.957    0.068   14.083    0.000   43.494   22    0.004
    Q7_7              0.879    0.080   11.028    0.000   64.603   22    0.000
    Q7_8              0.917    0.067   13.704    0.000   63.323   22    0.000
    Q7_14             0.805    0.083    9.745    0.000   54.056   22    0.000
  IN =~                                                                      
    Q6_2              1.000                                                  
    Q6_5              0.726    0.095    7.647    0.000   35.204   22    0.037
    Q6_6              0.836    0.064   13.006    0.000   55.962   22    0.000
    Q6_7              1.010    0.073   13.826    0.000   45.851   22    0.002
    Q6_8              0.976    0.069   14.153    0.000   43.062   22    0.005
    Q6_11             0.859    0.082   10.429    0.000   80.208   22    0.000
  SC =~                                                                      
    Q5_1              1.000                                                  
    Q5_2              0.884    0.083   10.673    0.000   60.459   22    0.000
    Q5_3              0.969    0.087   11.114    0.000   38.133   22    0.018
    Q5_5              0.838    0.091    9.186    0.000   82.529   22    0.000
    Q5_6              0.783    0.079    9.909    0.000   78.947   22    0.000
    Q5_12             0.870    0.089    9.745    0.000   47.835   22    0.001

INTERCEPTS:
                   Estimate  Std.Err  z-value  P(>|z|)   
    Q4_11            -0.035    0.058   -0.599    0.549   
    Q4_15            -0.267    0.055   -4.895    0.000   
    Q4_18            -0.286    0.045   -6.393    0.000   
    Q4_3              0.000                              
    Q4_4              0.043    0.044    0.959    0.338   
    Q4_5             -0.301    0.055   -5.510    0.000   
    Q4_9             -0.175    0.064   -2.723    0.006   
    Q5_1              0.000                              
    Q5_12             0.217    0.072    2.993    0.003   
    Q5_2              0.377    0.065    5.793    0.000   
    Q5_3              0.053    0.071    0.746    0.456   
    Q5_5              0.849    0.074   11.455    0.000   
    Q5_6              0.221    0.064    3.439    0.001   
    Q6_11             0.510    0.095    5.352    0.000   
    Q6_2              0.000                              
    Q6_5              0.085    0.110    0.772    0.440   
    Q6_6             -0.384    0.074   -5.177    0.000   
    Q6_7              0.077    0.084    0.912    0.362   
    Q6_8              0.086    0.078    1.111    0.267   
    Q7_14             0.845    0.064   13.170    0.000   
    Q7_2              0.000                              
    Q7_4              0.076    0.052    1.446    0.148   
    Q7_5              0.123    0.053    2.325    0.020   
    Q7_7              0.877    0.062   14.184    0.000   
    Q7_8              0.137    0.052    2.650    0.008   

MIIV Categorical

fit1 <- MIIVsem::miive(
  mod1, data=mydata,
  ordered=c(
    paste0("Q4_",c(1:5,8:11, 15:18)),
    paste0("Q5_",c(1:6, 8, 12)),
    paste0("Q6_",c(1:8, 11)),
    paste0("Q7_",c(2, 4:5, 7:8, 12:14))
  )
)

Warning in if (trySolve(BetaNA)) {: the condition has length > 1 and only the
first element will be used

Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -3.130187e-16) is smaller than zero. This may be a symptom that
    the model is not identified.

summary(fit1)

MIIVsem (0.5.5) results 

Number of observations                                                    312
Number of equations                                                        34
Estimator                                                     MIIV-2SLS (PIV)
Standard Errors                                                      standard
Missing                                                              listwise


Parameter Estimates:


STRUCTURAL COEFFICIENTS:
                   Estimate  Std.Err  z-value  P(>|z|)   Sargan   df   P(Chi)
  EL =~                                                                      
    Q4_1              1.000                                                  
    Q4_2              0.882    0.035   25.306    0.000                       
    Q4_3              0.960    0.032   29.805    0.000                       
    Q4_4              0.924    0.041   22.677    0.000                       
    Q4_5              0.785    0.043   18.207    0.000                       
    Q4_8              0.721    0.047   15.479    0.000                       
    Q4_9              0.635    0.053   12.088    0.000                       
    Q4_10             0.833    0.037   22.508    0.000                       
    Q4_11             0.798    0.041   19.443    0.000                       
    Q4_15             0.743    0.042   17.567    0.000                       
    Q4_16             0.780    0.044   17.895    0.000                       
    Q4_17             0.605    0.051   11.789    0.000                       
    Q4_18             0.902    0.040   22.539    0.000                       
  EN =~                                                                      
    Q7_2              1.000                                                  
    Q7_4              0.674    0.051   13.149    0.000                       
    Q7_5              0.815    0.048   17.056    0.000                       
    Q7_7              0.643    0.057   11.223    0.000                       
    Q7_8              0.757    0.047   16.076    0.000                       
    Q7_12             0.643    0.060   10.764    0.000                       
    Q7_13             0.307    0.066    4.666    0.000                       
    Q7_14             0.569    0.060    9.434    0.000                       
  IN =~                                                                      
    Q6_1              1.000                                                  
    Q6_2              0.830    0.046   17.916    0.000                       
    Q6_3              0.761    0.048   15.696    0.000                       
    Q6_4              0.777    0.045   17.456    0.000                       
    Q6_5              0.442    0.053    8.279    0.000                       
    Q6_6              0.658    0.052   12.747    0.000                       
    Q6_7              0.738    0.049   14.984    0.000                       
    Q6_8              0.741    0.048   15.284    0.000                       
    Q6_11             0.473    0.060    7.872    0.000                       
  SC =~                                                                      
    Q5_1              1.000                                                  
    Q5_2              0.797    0.064   12.364    0.000                       
    Q5_3              0.844    0.061   13.774    0.000                       
    Q5_4              0.685    0.068   10.101    0.000                       
    Q5_5              0.738    0.072   10.206    0.000                       
    Q5_6              0.738    0.062   11.854    0.000                       
    Q5_8              0.706    0.064   10.959    0.000                       
    Q5_12             0.695    0.066   10.573    0.000                       

PLS

# transform responses to (-2, 2) scale
#mydata[, 7:63] <- apply(mydata[,7:63], 2, as.factor)
mod.pls <- "
# Hypothesized model
EL =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12
IN =~ Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14

EL ~~ 1*EL + SC + IN + EN
SC ~~ 1*SC + IN + EN
IN ~~ 1*IN + EN
EN ~~ 1*EN

# Penalized terms
# cross loadings
pen() * EL =~  Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * SC =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * IN =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * EN =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11

"
fit.pls <- lslx::plsem(
  model = mod.pls,
  data = mydata,
  loss = "uls",
  penalty_method = "mcp",
  lambda_grid = seq(.02, .60, .02), 
  delta_grid = c(1.5, 3.0, Inf)
)

An 'lslx' R6 class is initialized via 'data' argument. 
  Response Variables: Q4_1 Q4_2 Q4_3 Q4_4 Q4_5 Q4_8 Q4_9 Q4_10 Q4_11 Q4_15 Q4_16 Q4_17 Q4_18 Q5_1 Q5_2 Q5_3 Q5_4 Q5_5 Q5_6 Q5_8 Q5_12 Q6_1 Q6_2 Q6_3 Q6_4 Q6_5 Q6_6 Q6_7 Q6_8 Q6_11 Q7_2 Q7_4 Q7_5 Q7_7 Q7_8 Q7_12 Q7_13 Q7_14 
  Latent Factors: EL SC IN EN 
WARNING: Algorithm doesn't converge under SOME penalty level.
Please try other optimization parameters or specify better starting values.

summary(fit.pls, selector = "rbic")

General Information                                                             
   number of observations                                 312
   number of complete observations                        312
   number of missing patterns                            none
   number of groups                                         1
   number of responses                                     38
   number of factors                                        4
   number of free coefficients                            120
   number of penalized coefficients                       114

Numerical Conditions                                                             
   selected lambda                                      0.240
   selected delta                                       1.500
   selected step                                         none
   objective value                                      1.912
   objective gradient absolute maximum                  0.001
   objective Hessian convexity                          2.000
   number of iterations                                16.000
   loss value                                           1.438
   number of non-zero coefficients                    140.000
   degrees of freedom                                 639.000
   robust degrees of freedom                          219.566
   scaling factor                                       0.344

Fit Indices                                                             
   root mean square error of approximation (rmsea)      0.000
   comparative fit index (cfi)                          1.000
   non-normed fit index (nnfi)                          1.000
   standardized root mean of residual (srmr)            0.049

Likelihood Ratio Test
                    statistic         df    p-value
   unadjusted         448.515    639.000      1.000
   mean-adjusted     1305.307    639.000      0.000

Root Mean Square Error of Approximation Test
                     estimate      lower      upper
   unadjusted           0.000      0.000      0.000
   mean-adjusted        0.034      0.031      0.037

Coefficient Test (Std.Error = "sandwich")
  Factor Loading
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
     Q4_1<-EL     free     0.636      0.049   12.964    0.000  0.540  0.732
     Q4_2<-EL     free     0.585      0.060    9.669    0.000  0.466  0.704
     Q4_3<-EL     free     0.642      0.050   12.933    0.000  0.545  0.739
     Q4_4<-EL     free     0.665      0.045   14.783    0.000  0.577  0.753
     Q4_5<-EL     free     0.642      0.047   13.796    0.000  0.551  0.734
     Q4_8<-EL     free     0.619      0.046   13.350    0.000  0.528  0.710
     Q4_9<-EL     free     0.656      0.077    8.511    0.000  0.505  0.807
    Q4_10<-EL     free     0.630      0.046   13.744    0.000  0.540  0.719
    Q4_11<-EL     free     0.734      0.078    9.347    0.000  0.580  0.887
    Q4_15<-EL     free     0.646      0.047   13.854    0.000  0.554  0.737
    Q4_16<-EL     free     0.631      0.066    9.506    0.000  0.501  0.761
    Q4_17<-EL     free     0.554      0.050   11.134    0.000  0.457  0.652
    Q4_18<-EL     free     0.651      0.049   13.152    0.000  0.554  0.748
     Q5_1<-EL      pen     0.276      0.067    4.108    0.000  0.144  0.407
     Q5_2<-EL      pen     0.000        -        -        -      -      -  
     Q5_3<-EL      pen     0.054      0.079    0.688    0.492 -0.100  0.208
     Q5_4<-EL      pen     0.000        -        -        -      -      -  
     Q5_5<-EL      pen     0.000        -        -        -      -      -  
     Q5_6<-EL      pen     0.000        -        -        -      -      -  
     Q5_8<-EL      pen     0.000        -        -        -      -      -  
    Q5_12<-EL      pen     0.309      0.079    3.915    0.000  0.154  0.464
     Q6_1<-EL      pen     0.000        -        -        -      -      -  
     Q6_2<-EL      pen     0.000        -        -        -      -      -  
     Q6_3<-EL      pen     0.000        -        -        -      -      -  
     Q6_4<-EL      pen     0.000        -        -        -      -      -  
     Q6_5<-EL      pen     0.000        -        -        -      -      -  
     Q6_6<-EL      pen     0.000        -        -        -      -      -  
     Q6_7<-EL      pen     0.000        -        -        -      -      -  
     Q6_8<-EL      pen     0.000        -        -        -      -      -  
    Q6_11<-EL      pen     0.000        -        -        -      -      -  
     Q7_2<-EL      pen     0.000        -        -        -      -      -  
     Q7_4<-EL      pen     0.000        -        -        -      -      -  
     Q7_5<-EL      pen     0.000        -        -        -      -      -  
     Q7_7<-EL      pen     0.000        -        -        -      -      -  
     Q7_8<-EL      pen     0.211      0.072    2.953    0.003  0.071  0.351
    Q7_12<-EL      pen     0.000        -        -        -      -      -  
    Q7_13<-EL      pen     0.000        -        -        -      -      -  
    Q7_14<-EL      pen     0.000        -        -        -      -      -  
     Q4_1<-SC      pen     0.000        -        -        -      -      -  
     Q4_2<-SC      pen    -0.043      0.043   -0.994    0.320 -0.127  0.042
     Q4_3<-SC      pen     0.000        -        -        -      -      -  
     Q4_4<-SC      pen     0.000        -        -        -      -      -  
     Q4_5<-SC      pen     0.000        -        -        -      -      -  
     Q4_8<-SC      pen     0.000        -        -        -      -      -  
     Q4_9<-SC      pen     0.000        -        -        -      -      -  
    Q4_10<-SC      pen     0.000        -        -        -      -      -  
    Q4_11<-SC      pen     0.000        -        -        -      -      -  
    Q4_15<-SC      pen     0.000        -        -        -      -      -  
    Q4_16<-SC      pen     0.014      0.063    0.214    0.831 -0.110  0.137
    Q4_17<-SC      pen     0.000        -        -        -      -      -  
    Q4_18<-SC      pen     0.000        -        -        -      -      -  
     Q5_1<-SC     free     0.404      0.064    6.267    0.000  0.278  0.530
     Q5_2<-SC     free     0.644      0.058   11.121    0.000  0.530  0.757
     Q5_3<-SC     free     0.646      0.080    8.101    0.000  0.490  0.803
     Q5_4<-SC     free     1.080      0.085   12.632    0.000  0.912  1.248
     Q5_5<-SC     free     1.048      0.080   13.137    0.000  0.891  1.204
     Q5_6<-SC     free     0.705      0.053   13.402    0.000  0.602  0.808
     Q5_8<-SC     free     0.783      0.058   13.479    0.000  0.669  0.897
    Q5_12<-SC     free     0.449      0.079    5.651    0.000  0.293  0.604
     Q6_1<-SC      pen     0.000        -        -        -      -      -  
     Q6_2<-SC      pen     0.000        -        -        -      -      -  
     Q6_3<-SC      pen    -0.031      0.044   -0.709    0.478 -0.117  0.055
     Q6_4<-SC      pen     0.001      0.059    0.013    0.990 -0.116  0.117
     Q6_5<-SC      pen     0.000        -        -        -      -      -  
     Q6_6<-SC      pen     0.000        -        -        -      -      -  
     Q6_7<-SC      pen     0.000        -        -        -      -      -  
     Q6_8<-SC      pen     0.000        -        -        -      -      -  
    Q6_11<-SC      pen     0.000        -        -        -      -      -  
     Q7_2<-SC      pen     0.000        -        -        -      -      -  
     Q7_4<-SC      pen     0.000        -        -        -      -      -  
     Q7_5<-SC      pen     0.000        -        -        -      -      -  
     Q7_7<-SC      pen     0.000        -        -        -      -      -  
     Q7_8<-SC      pen     0.000        -        -        -      -      -  
    Q7_12<-SC      pen     0.000        -        -        -      -      -  
    Q7_13<-SC      pen     0.000        -        -        -      -      -  
    Q7_14<-SC      pen     0.000        -        -        -      -      -  
     Q4_1<-IN      pen     0.000        -        -        -      -      -  
     Q4_2<-IN      pen     0.000        -        -        -      -      -  
     Q4_3<-IN      pen     0.000        -        -        -      -      -  
     Q4_4<-IN      pen     0.000        -        -        -      -      -  
     Q4_5<-IN      pen     0.000        -        -        -      -      -  
     Q4_8<-IN      pen     0.000        -        -        -      -      -  
     Q4_9<-IN      pen     0.000        -        -        -      -      -  
    Q4_10<-IN      pen     0.000        -        -        -      -      -  
    Q4_11<-IN      pen     0.000        -        -        -      -      -  
    Q4_15<-IN      pen     0.000        -        -        -      -      -  
    Q4_16<-IN      pen     0.000        -        -        -      -      -  
    Q4_17<-IN      pen     0.000        -        -        -      -      -  
    Q4_18<-IN      pen     0.000        -        -        -      -      -  
     Q5_1<-IN      pen     0.000        -        -        -      -      -  
     Q5_2<-IN      pen     0.000        -        -        -      -      -  
     Q5_3<-IN      pen     0.000        -        -        -      -      -  
     Q5_4<-IN      pen    -0.337      0.084   -3.999    0.000 -0.503 -0.172
     Q5_5<-IN      pen    -0.310      0.081   -3.807    0.000 -0.470 -0.151
     Q5_6<-IN      pen     0.000        -        -        -      -      -  
     Q5_8<-IN      pen     0.000        -        -        -      -      -  
    Q5_12<-IN      pen     0.000        -        -        -      -      -  
     Q6_1<-IN     free     0.613      0.069    8.945    0.000  0.479  0.748
     Q6_2<-IN     free     0.681      0.056   12.133    0.000  0.571  0.791
     Q6_3<-IN     free     0.701      0.070    9.954    0.000  0.563  0.839
     Q6_4<-IN     free     0.695      0.077    9.000    0.000  0.543  0.846
     Q6_5<-IN     free     0.451      0.085    5.324    0.000  0.285  0.617
     Q6_6<-IN     free     0.635      0.049   12.873    0.000  0.539  0.732
     Q6_7<-IN     free     0.761      0.053   14.244    0.000  0.657  0.866
     Q6_8<-IN     free     0.681      0.049   13.818    0.000  0.584  0.778
    Q6_11<-IN     free     0.366      0.063    5.799    0.000  0.243  0.490
     Q7_2<-IN      pen     0.304      0.075    4.036    0.000  0.157  0.452
     Q7_4<-IN      pen     0.288      0.080    3.618    0.000  0.132  0.445
     Q7_5<-IN      pen     0.271      0.077    3.532    0.000  0.121  0.422
     Q7_7<-IN      pen     0.000        -        -        -      -      -  
     Q7_8<-IN      pen     0.000        -        -        -      -      -  
    Q7_12<-IN      pen     0.000        -        -        -      -      -  
    Q7_13<-IN      pen     0.000        -        -        -      -      -  
    Q7_14<-IN      pen     0.000        -        -        -      -      -  
     Q4_1<-EN      pen     0.000        -        -        -      -      -  
     Q4_2<-EN      pen     0.000        -        -        -      -      -  
     Q4_3<-EN      pen     0.000        -        -        -      -      -  
     Q4_4<-EN      pen     0.000        -        -        -      -      -  
     Q4_5<-EN      pen     0.000        -        -        -      -      -  
     Q4_8<-EN      pen     0.000        -        -        -      -      -  
     Q4_9<-EN      pen     0.036      0.070    0.520    0.603 -0.101  0.174
    Q4_10<-EN      pen     0.000        -        -        -      -      -  
    Q4_11<-EN      pen     0.034      0.083    0.404    0.686 -0.129  0.196
    Q4_15<-EN      pen     0.000        -        -        -      -      -  
    Q4_16<-EN      pen     0.000        -        -        -      -      -  
    Q4_17<-EN      pen     0.000        -        -        -      -      -  
    Q4_18<-EN      pen    -0.045      0.040   -1.127    0.260 -0.125  0.034
     Q5_1<-EN      pen     0.000        -        -        -      -      -  
     Q5_2<-EN      pen     0.000        -        -        -      -      -  
     Q5_3<-EN      pen     0.000        -        -        -      -      -  
     Q5_4<-EN      pen     0.000        -        -        -      -      -  
     Q5_5<-EN      pen     0.000        -        -        -      -      -  
     Q5_6<-EN      pen     0.000        -        -        -      -      -  
     Q5_8<-EN      pen     0.000        -        -        -      -      -  
    Q5_12<-EN      pen     0.000        -        -        -      -      -  
     Q6_1<-EN      pen    -0.073      0.049   -1.500    0.134 -0.168  0.022
     Q6_2<-EN      pen     0.000        -        -        -      -      -  
     Q6_3<-EN      pen     0.000        -        -        -      -      -  
     Q6_4<-EN      pen     0.000        -        -        -      -      -  
     Q6_5<-EN      pen     0.139      0.081    1.717    0.086 -0.020  0.297
     Q6_6<-EN      pen     0.000        -        -        -      -      -  
     Q6_7<-EN      pen     0.006      0.056    0.112    0.911 -0.104  0.117
     Q6_8<-EN      pen     0.000        -        -        -      -      -  
    Q6_11<-EN      pen     0.512      0.059    8.719    0.000  0.397  0.627
     Q7_2<-EN     free     0.455      0.063    7.262    0.000  0.332  0.577
     Q7_4<-EN     free     0.394      0.073    5.373    0.000  0.250  0.538
     Q7_5<-EN     free     0.506      0.070    7.224    0.000  0.369  0.643
     Q7_7<-EN     free     0.777      0.066   11.846    0.000  0.649  0.906
     Q7_8<-EN     free     0.552      0.071    7.796    0.000  0.413  0.690
    Q7_12<-EN     free     0.775      0.066   11.809    0.000  0.647  0.904
    Q7_13<-EN     free     0.449      0.090    4.986    0.000  0.272  0.625
    Q7_14<-EN     free     0.750      0.070   10.698    0.000  0.612  0.887

  Covariance
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      SC<->EL     free     0.583      0.058   10.135    0.000  0.471  0.696
      IN<->EL     free     0.711      0.045   15.763    0.000  0.622  0.799
      EN<->EL     free     0.627      0.056   11.284    0.000  0.518  0.736
      IN<->SC     free     0.597      0.064    9.305    0.000  0.472  0.723
      EN<->SC     free     0.739      0.038   19.520    0.000  0.665  0.813
      EN<->IN     free     0.474      0.067    7.057    0.000  0.342  0.606

  Variance
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      EL<->EL    fixed     1.000        -        -        -      -      -  
      SC<->SC    fixed     1.000        -        -        -      -      -  
      IN<->IN    fixed     1.000        -        -        -      -      -  
      EN<->EN    fixed     1.000        -        -        -      -      -  
  Q4_1<->Q4_1     free     0.319      0.039    8.203    0.000  0.243  0.395
  Q4_2<->Q4_2     free     0.298      0.027   10.925    0.000  0.244  0.351
  Q4_3<->Q4_3     free     0.305      0.036    8.522    0.000  0.234  0.375
  Q4_4<->Q4_4     free     0.275      0.028    9.664    0.000  0.219  0.331
  Q4_5<->Q4_5     free     0.344      0.040    8.671    0.000  0.266  0.421
  Q4_8<->Q4_8     free     0.345      0.047    7.400    0.000  0.253  0.436
  Q4_9<->Q4_9     free     0.470      0.050    9.371    0.000  0.372  0.568
Q4_10<->Q4_10     free     0.243      0.029    8.481    0.000  0.187  0.299
Q4_11<->Q4_11     free     0.333      0.039    8.495    0.000  0.256  0.410
Q4_15<->Q4_15     free     0.362      0.041    8.815    0.000  0.281  0.442
Q4_16<->Q4_16     free     0.455      0.042   10.724    0.000  0.372  0.538
Q4_17<->Q4_17     free     0.555      0.049   11.257    0.000  0.459  0.652
Q4_18<->Q4_18     free     0.234      0.024    9.570    0.000  0.186  0.282
  Q5_1<->Q5_1     free     0.534      0.044   12.020    0.000  0.447  0.621
  Q5_2<->Q5_2     free     0.607      0.058   10.489    0.000  0.493  0.720
  Q5_3<->Q5_3     free     0.619      0.058   10.724    0.000  0.506  0.733
  Q5_4<->Q5_4     free     0.365      0.058    6.253    0.000  0.250  0.479
  Q5_5<->Q5_5     free     0.314      0.048    6.486    0.000  0.219  0.409
  Q5_6<->Q5_6     free     0.349      0.045    7.851    0.000  0.262  0.437
  Q5_8<->Q5_8     free     0.532      0.069    7.707    0.000  0.397  0.667
Q5_12<->Q5_12     free     0.564      0.055   10.173    0.000  0.455  0.672
  Q6_1<->Q6_1     free     0.392      0.069    5.711    0.000  0.257  0.526
  Q6_2<->Q6_2     free     0.361      0.048    7.469    0.000  0.266  0.455
  Q6_3<->Q6_3     free     0.387      0.048    8.075    0.000  0.293  0.481
  Q6_4<->Q6_4     free     0.390      0.061    6.367    0.000  0.270  0.510
  Q6_5<->Q6_5     free     0.924      0.085   10.838    0.000  0.757  1.091
  Q6_6<->Q6_6     free     0.214      0.032    6.732    0.000  0.152  0.276
  Q6_7<->Q6_7     free     0.182      0.035    5.161    0.000  0.113  0.251
  Q6_8<->Q6_8     free     0.231      0.036    6.423    0.000  0.160  0.301
Q6_11<->Q6_11     free     0.377      0.041    9.206    0.000  0.297  0.457
  Q7_2<->Q7_2     free     0.355      0.037    9.518    0.000  0.282  0.429
  Q7_4<->Q7_4     free     0.540      0.053   10.265    0.000  0.437  0.643
  Q7_5<->Q7_5     free     0.427      0.052    8.134    0.000  0.324  0.530
  Q7_7<->Q7_7     free     0.533      0.062    8.579    0.000  0.411  0.654
  Q7_8<->Q7_8     free     0.381      0.050    7.571    0.000  0.282  0.479
Q7_12<->Q7_12     free     0.532      0.069    7.708    0.000  0.397  0.667
Q7_13<->Q7_13     free     1.017      0.088   11.527    0.000  0.844  1.189
Q7_14<->Q7_14     free     0.524      0.069    7.649    0.000  0.390  0.658

  Intercept
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      Q4_1<-1     free    -0.619      0.048  -12.849    0.000 -0.713 -0.524
      Q4_2<-1     free    -0.804      0.044  -18.158    0.000 -0.891 -0.718
      Q4_3<-1     free    -0.535      0.048  -11.168    0.000 -0.629 -0.441
      Q4_4<-1     free    -0.471      0.048   -9.828    0.000 -0.565 -0.377
      Q4_5<-1     free    -0.753      0.049  -15.297    0.000 -0.850 -0.657
      Q4_8<-1     free    -0.814      0.048  -16.850    0.000 -0.909 -0.719
      Q4_9<-1     free    -0.606      0.055  -11.089    0.000 -0.713 -0.499
     Q4_10<-1     free    -0.458      0.045  -10.125    0.000 -0.547 -0.370
     Q4_11<-1     free    -0.522      0.054   -9.709    0.000 -0.628 -0.417
     Q4_15<-1     free    -0.705      0.050  -14.117    0.000 -0.803 -0.607
     Q4_16<-1     free    -0.667      0.053  -12.674    0.000 -0.770 -0.564
     Q4_17<-1     free    -0.904      0.053  -17.190    0.000 -1.007 -0.801
     Q4_18<-1     free    -0.724      0.045  -16.214    0.000 -0.812 -0.637
      Q5_1<-1     free    -0.474      0.054   -8.816    0.000 -0.580 -0.369
      Q5_2<-1     free    -0.042      0.057   -0.728    0.466 -0.154  0.070
      Q5_3<-1     free    -0.407      0.059   -6.915    0.000 -0.522 -0.292
      Q5_4<-1     free     0.458      0.062    7.360    0.000  0.336  0.580
      Q5_5<-1     free     0.452      0.060    7.545    0.000  0.335  0.569
      Q5_6<-1     free    -0.151      0.052   -2.893    0.004 -0.253 -0.049
      Q5_8<-1     free    -0.157      0.061   -2.592    0.010 -0.276 -0.038
     Q5_12<-1     free    -0.196      0.057   -3.415    0.001 -0.308 -0.083
      Q6_1<-1     free    -1.321      0.048  -27.288    0.000 -1.415 -1.226
      Q6_2<-1     free    -0.955      0.051  -18.575    0.000 -1.056 -0.854
      Q6_3<-1     free    -1.006      0.052  -19.253    0.000 -1.109 -0.904
      Q6_4<-1     free    -0.891      0.053  -16.847    0.000 -0.995 -0.787
      Q6_5<-1     free    -0.609      0.062   -9.795    0.000 -0.731 -0.487
      Q6_6<-1     free    -1.183      0.044  -26.590    0.000 -1.270 -1.096
      Q6_7<-1     free    -0.888      0.050  -17.915    0.000 -0.985 -0.791
      Q6_8<-1     free    -0.846      0.047  -17.937    0.000 -0.939 -0.754
     Q6_11<-1     free    -0.311      0.055   -5.630    0.000 -0.419 -0.203
      Q7_2<-1     free    -0.353      0.050   -7.025    0.000 -0.451 -0.254
      Q7_4<-1     free    -0.215      0.053   -4.028    0.000 -0.319 -0.110
      Q7_5<-1     free    -0.215      0.053   -4.028    0.000 -0.319 -0.110
      Q7_7<-1     free     0.567      0.060    9.400    0.000  0.449  0.686
      Q7_8<-1     free    -0.186      0.053   -3.509    0.000 -0.290 -0.082
     Q7_12<-1     free     0.381      0.060    6.328    0.000  0.263  0.500
     Q7_13<-1     free     0.494      0.062    7.900    0.000  0.371  0.616
     Q7_14<-1     free     0.561      0.059    9.507    0.000  0.445  0.677

PLS Categorical

mod.pls <- "
# Hypothesized model
EL =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18
SC =~ Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12
IN =~ Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11
EN =~ Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14

EL ~~ 1*EL + SC + IN + EN
SC ~~ 1*SC + IN + EN
IN ~~ 1*IN + EN
EN ~~ 1*EN

# Penalized terms
# cross loadings
pen() * EL =~  Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * SC =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * IN =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q7_2 + Q7_4 + Q7_5 + Q7_7 + Q7_8 + Q7_12 + Q7_13 + Q7_14
pen() * EN =~ Q4_1 + Q4_2 + Q4_3 + Q4_4 + Q4_5 + Q4_8 + Q4_9 + Q4_10 + Q4_11 + Q4_15 + Q4_16 + Q4_17 + Q4_18 + Q5_1 + Q5_2 + Q5_3 + Q5_4 + Q5_5 + Q5_6 + Q5_8 + Q5_12 + Q6_1 + Q6_2 + Q6_3 + Q6_4 + Q6_5 + Q6_6 + Q6_7 + Q6_8 + Q6_11

"

fit.pls <- lslx::plsem(
  model = mod.pls,
  data = mydata,
  ordered_variable = c(
    paste0("Q4_",c(1:5,8:11, 15:18)),
    paste0("Q5_",c(1:6, 8, 12)),
    paste0("Q6_",c(1:8, 11)),
    paste0("Q7_",c(2, 4:5, 7:8, 12:14))
  ),
  loss = "uls",
  penalty_method = "mcp"
)

An 'lslx' R6 class is initialized via 'data' argument. 
  Response Variables: Q4_1 Q4_2 Q4_3 Q4_4 Q4_5 Q4_8 Q4_9 Q4_10 Q4_11 Q4_15 Q4_16 Q4_17 Q4_18 Q5_1 Q5_2 Q5_3 Q5_4 Q5_5 Q5_6 Q5_8 Q5_12 Q6_1 Q6_2 Q6_3 Q6_4 Q6_5 Q6_6 Q6_7 Q6_8 Q6_11 Q7_2 Q7_4 Q7_5 Q7_7 Q7_8 Q7_12 Q7_13 Q7_14 
  Latent Factors: EL SC IN EN 

Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
    The variance-covariance matrix of the estimated parameters (vcov)
    does not appear to be positive definite! The smallest eigenvalue
    (= -3.130187e-16) is smaller than zero. This may be a symptom that
    the model is not identified.

CONGRATS: Algorithm converges under EVERY specified penalty level.
  Specified Tolerance for Convergence: 0.001 
  Specified Maximal Number of Iterations: 100 

summary(fit.pls, selector = "rbic")

General Information                                                             
   number of observations                                 312
   number of complete observations                        312
   number of missing patterns                            none
   number of groups                                         1
   number of responses                                     38
   number of factors                                        4
   number of free coefficients                            196
   number of penalized coefficients                       114

Numerical Conditions                                                             
   selected lambda                                      0.183
   selected delta                                       2.000
   selected step                                         none
   objective value                                      2.376
   objective gradient absolute maximum                  0.001
   objective Hessian convexity                          2.000
   number of iterations                                29.000
   loss value                                           1.748
   number of non-zero coefficients                    232.000
   degrees of freedom                                 623.000
   robust degrees of freedom                          168.217
   scaling factor                                       0.270

Fit Indices                                                             
   root mean square error of approximation (rmsea)      0.000
   comparative fit index (cfi)                          1.000
   non-normed fit index (nnfi)                          1.000
   standardized root mean of residual (srmr)            0.049

Likelihood Ratio Test
                    statistic         df    p-value
   unadjusted         545.257    623.000      0.989
   mean-adjusted     2019.389    623.000      0.000

Root Mean Square Error of Approximation Test
                     estimate      lower      upper
   unadjusted           0.000      0.000      0.000
   mean-adjusted        0.044      0.041      0.047

Coefficient Test (Std.Error = "sandwich")
  Factor Loading
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
     Q4_1<-EL     free     0.805      0.025   32.833    0.000  0.756  0.853
     Q4_2<-EL     free     0.838      0.033   25.163    0.000  0.773  0.903
     Q4_3<-EL     free     0.832      0.031   26.808    0.000  0.772  0.893
     Q4_4<-EL     free     0.841      0.020   42.266    0.000  0.802  0.880
     Q4_5<-EL     free     0.804      0.024   33.059    0.000  0.757  0.852
     Q4_8<-EL     free     0.786      0.027   29.435    0.000  0.734  0.839
     Q4_9<-EL     free     0.610      0.046   13.209    0.000  0.519  0.700
    Q4_10<-EL     free     0.760      0.039   19.583    0.000  0.684  0.836
    Q4_11<-EL     free     0.695      0.048   14.605    0.000  0.602  0.788
    Q4_15<-EL     free     0.751      0.040   18.619    0.000  0.672  0.830
    Q4_16<-EL     free     0.680      0.045   15.011    0.000  0.591  0.768
    Q4_17<-EL     free     0.668      0.033   20.229    0.000  0.603  0.732
    Q4_18<-EL     free     0.914      0.031   29.309    0.000  0.853  0.975
     Q5_1<-EL      pen     0.253      0.068    3.738    0.000  0.120  0.386
     Q5_2<-EL      pen     0.000        -        -        -      -      -  
     Q5_3<-EL      pen     0.110      0.053    2.070    0.038  0.006  0.215
     Q5_4<-EL      pen    -0.152      0.054   -2.826    0.005 -0.257 -0.047
     Q5_5<-EL      pen     0.000        -        -        -      -      -  
     Q5_6<-EL      pen     0.061      0.045    1.356    0.175 -0.027  0.149
     Q5_8<-EL      pen     0.000        -        -        -      -      -  
    Q5_12<-EL      pen     0.000        -        -        -      -      -  
     Q6_1<-EL      pen     0.000        -        -        -      -      -  
     Q6_2<-EL      pen    -0.026      0.058   -0.460    0.646 -0.139  0.086
     Q6_3<-EL      pen    -0.116      0.061   -1.906    0.057 -0.236  0.003
     Q6_4<-EL      pen    -0.147      0.054   -2.714    0.007 -0.252 -0.041
     Q6_5<-EL      pen     0.000        -        -        -      -      -  
     Q6_6<-EL      pen     0.000        -        -        -      -      -  
     Q6_7<-EL      pen     0.000        -        -        -      -      -  
     Q6_8<-EL      pen     0.000        -        -        -      -      -  
    Q6_11<-EL      pen     0.120      0.067    1.805    0.071 -0.010  0.251
     Q7_2<-EL      pen     0.000        -        -        -      -      -  
     Q7_4<-EL      pen     0.000        -        -        -      -      -  
     Q7_5<-EL      pen     0.000        -        -        -      -      -  
     Q7_7<-EL      pen     0.000        -        -        -      -      -  
     Q7_8<-EL      pen     0.215      0.061    3.527    0.000  0.096  0.335
    Q7_12<-EL      pen     0.000        -        -        -      -      -  
    Q7_13<-EL      pen     0.000        -        -        -      -      -  
    Q7_14<-EL      pen    -0.002      0.065   -0.030    0.976 -0.130  0.126
     Q4_1<-SC      pen     0.000        -        -        -      -      -  
     Q4_2<-SC      pen    -0.097      0.048   -2.026    0.043 -0.190 -0.003
     Q4_3<-SC      pen    -0.017      0.046   -0.379    0.705 -0.107  0.073
     Q4_4<-SC      pen     0.000        -        -        -      -      -  
     Q4_5<-SC      pen     0.000        -        -        -      -      -  
     Q4_8<-SC      pen     0.000        -        -        -      -      -  
     Q4_9<-SC      pen     0.000        -        -        -      -      -  
    Q4_10<-SC      pen     0.000        -        -        -      -      -  
    Q4_11<-SC      pen     0.000        -        -        -      -      -  
    Q4_15<-SC      pen     0.046      0.053    0.867    0.386 -0.058  0.150
    Q4_16<-SC      pen     0.085      0.056    1.521    0.128 -0.025  0.195
    Q4_17<-SC      pen     0.000        -        -        -      -      -  
    Q4_18<-SC      pen     0.000        -        -        -      -      -  
     Q5_1<-SC     free     0.455      0.060    7.645    0.000  0.339  0.572
     Q5_2<-SC     free     0.644      0.057   11.215    0.000  0.531  0.756
     Q5_3<-SC     free     0.639      0.047   13.598    0.000  0.547  0.731
     Q5_4<-SC     free     0.967      0.041   23.462    0.000  0.886  1.047
     Q5_5<-SC     free     0.933      0.036   25.630    0.000  0.862  1.004
     Q5_6<-SC     free     0.767      0.041   18.688    0.000  0.687  0.847
     Q5_8<-SC     free     0.803      0.030   26.421    0.000  0.743  0.863
    Q5_12<-SC     free     0.227      0.072    3.133    0.002  0.085  0.369
     Q6_1<-SC      pen     0.000        -        -        -      -      -  
     Q6_2<-SC      pen     0.000        -        -        -      -      -  
     Q6_3<-SC      pen    -0.082      0.048   -1.724    0.085 -0.176  0.011
     Q6_4<-SC      pen     0.020      0.057    0.351    0.726 -0.092  0.132
     Q6_5<-SC      pen     0.000        -        -        -      -      -  
     Q6_6<-SC      pen     0.000        -        -        -      -      -  
     Q6_7<-SC      pen     0.000        -        -        -      -      -  
     Q6_8<-SC      pen     0.000        -        -        -      -      -  
    Q6_11<-SC      pen     0.000        -        -        -      -      -  
     Q7_2<-SC      pen     0.000        -        -        -      -      -  
     Q7_4<-SC      pen     0.000        -        -        -      -      -  
     Q7_5<-SC      pen     0.000        -        -        -      -      -  
     Q7_7<-SC      pen     0.000        -        -        -      -      -  
     Q7_8<-SC      pen     0.000        -        -        -      -      -  
    Q7_12<-SC      pen     0.000        -        -        -      -      -  
    Q7_13<-SC      pen    -0.044      0.082   -0.540    0.590 -0.206  0.117
    Q7_14<-SC      pen     0.000        -        -        -      -      -  
     Q4_1<-IN      pen     0.000        -        -        -      -      -  
     Q4_2<-IN      pen     0.000        -        -        -      -      -  
     Q4_3<-IN      pen     0.000        -        -        -      -      -  
     Q4_4<-IN      pen     0.000        -        -        -      -      -  
     Q4_5<-IN      pen     0.000        -        -        -      -      -  
     Q4_8<-IN      pen     0.000        -        -        -      -      -  
     Q4_9<-IN      pen     0.000        -        -        -      -      -  
    Q4_10<-IN      pen     0.000        -        -        -      -      -  
    Q4_11<-IN      pen     0.000        -        -        -      -      -  
    Q4_15<-IN      pen     0.000        -        -        -      -      -  
    Q4_16<-IN      pen     0.000        -        -        -      -      -  
    Q4_17<-IN      pen     0.000        -        -        -      -      -  
    Q4_18<-IN      pen     0.000        -        -        -      -      -  
     Q5_1<-IN      pen     0.084      0.079    1.066    0.287 -0.071  0.239
     Q5_2<-IN      pen     0.058      0.067    0.859    0.390 -0.074  0.189
     Q5_3<-IN      pen     0.000        -        -        -      -      -  
     Q5_4<-IN      pen    -0.056      0.072   -0.774    0.439 -0.198  0.086
     Q5_5<-IN      pen    -0.149      0.057   -2.591    0.010 -0.261 -0.036
     Q5_6<-IN      pen     0.000        -        -        -      -      -  
     Q5_8<-IN      pen     0.000        -        -        -      -      -  
    Q5_12<-IN      pen     0.289      0.051    5.713    0.000  0.190  0.388
     Q6_1<-IN     free     0.871      0.045   19.559    0.000  0.784  0.958
     Q6_2<-IN     free     0.874      0.041   21.308    0.000  0.793  0.954
     Q6_3<-IN     free     0.958      0.042   23.089    0.000  0.877  1.040
     Q6_4<-IN     free     0.904      0.055   16.535    0.000  0.797  1.011
     Q6_5<-IN     free     0.429      0.059    7.216    0.000  0.312  0.546
     Q6_6<-IN     free     0.856      0.022   38.096    0.000  0.812  0.900
     Q6_7<-IN     free     0.875      0.032   27.160    0.000  0.812  0.938
     Q6_8<-IN     free     0.847      0.022   37.768    0.000  0.803  0.891
    Q6_11<-IN     free     0.305      0.070    4.382    0.000  0.169  0.442
     Q7_2<-IN      pen     0.385      0.070    5.518    0.000  0.249  0.522
     Q7_4<-IN      pen     0.337      0.071    4.725    0.000  0.197  0.476
     Q7_5<-IN      pen     0.290      0.064    4.558    0.000  0.165  0.415
     Q7_7<-IN      pen     0.000        -        -        -      -      -  
     Q7_8<-IN      pen     0.005      0.073    0.068    0.946 -0.137  0.147
    Q7_12<-IN      pen     0.000        -        -        -      -      -  
    Q7_13<-IN      pen     0.000        -        -        -      -      -  
    Q7_14<-IN      pen     0.000        -        -        -      -      -  
     Q4_1<-EN      pen     0.000        -        -        -      -      -  
     Q4_2<-EN      pen     0.000        -        -        -      -      -  
     Q4_3<-EN      pen     0.000        -        -        -      -      -  
     Q4_4<-EN      pen     0.000        -        -        -      -      -  
     Q4_5<-EN      pen     0.000        -        -        -      -      -  
     Q4_8<-EN      pen     0.000        -        -        -      -      -  
     Q4_9<-EN      pen     0.182      0.052    3.492    0.000  0.080  0.285
    Q4_10<-EN      pen     0.094      0.050    1.867    0.062 -0.005  0.192
    Q4_11<-EN      pen     0.185      0.060    3.080    0.002  0.067  0.302
    Q4_15<-EN      pen     0.000        -        -        -      -      -  
    Q4_16<-EN      pen     0.000        -        -        -      -      -  
    Q4_17<-EN      pen     0.000        -        -        -      -      -  
    Q4_18<-EN      pen    -0.075      0.045   -1.654    0.098 -0.164  0.014
     Q5_1<-EN      pen     0.000        -        -        -      -      -  
     Q5_2<-EN      pen     0.000        -        -        -      -      -  
     Q5_3<-EN      pen     0.000        -        -        -      -      -  
     Q5_4<-EN      pen     0.000        -        -        -      -      -  
     Q5_5<-EN      pen     0.000        -        -        -      -      -  
     Q5_6<-EN      pen     0.000        -        -        -      -      -  
     Q5_8<-EN      pen     0.000        -        -        -      -      -  
    Q5_12<-EN      pen     0.305      0.074    4.121    0.000  0.160  0.450
     Q6_1<-EN      pen    -0.164      0.061   -2.666    0.008 -0.284 -0.043
     Q6_2<-EN      pen    -0.056      0.054   -1.043    0.297 -0.162  0.050
     Q6_3<-EN      pen     0.000        -        -        -      -      -  
     Q6_4<-EN      pen     0.000        -        -        -      -      -  
     Q6_5<-EN      pen     0.154      0.058    2.671    0.008  0.041  0.267
     Q6_6<-EN      pen     0.000        -        -        -      -      -  
     Q6_7<-EN      pen     0.034      0.043    0.801    0.423 -0.049  0.117
     Q6_8<-EN      pen     0.000        -        -        -      -      -  
    Q6_11<-EN      pen     0.498      0.051    9.685    0.000  0.397  0.598
     Q7_2<-EN     free     0.508      0.057    8.916    0.000  0.397  0.620
     Q7_4<-EN     free     0.411      0.061    6.743    0.000  0.292  0.531
     Q7_5<-EN     free     0.558      0.052   10.745    0.000  0.457  0.660
     Q7_7<-EN     free     0.757      0.035   21.844    0.000  0.689  0.825
     Q7_8<-EN     free     0.631      0.056   11.228    0.000  0.521  0.742
    Q7_12<-EN     free     0.749      0.035   21.284    0.000  0.680  0.819
    Q7_13<-EN     free     0.466      0.083    5.616    0.000  0.303  0.629
    Q7_14<-EN     free     0.728      0.054   13.567    0.000  0.623  0.833

  Covariance
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      SC<->EL     free     0.543      0.046   11.720    0.000  0.452  0.634
      IN<->EL     free     0.732      0.028   25.783    0.000  0.676  0.787
      EN<->EL     free     0.599      0.048   12.553    0.000  0.506  0.693
      IN<->SC     free     0.554      0.052   10.695    0.000  0.453  0.656
      EN<->SC     free     0.721      0.030   23.932    0.000  0.662  0.780
      EN<->IN     free     0.537      0.057    9.352    0.000  0.425  0.650

  Variance
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      EL<->EL    fixed     1.000        -        -        -      -      -  
      SC<->SC    fixed     1.000        -        -        -      -      -  
      IN<->IN    fixed     1.000        -        -        -      -      -  
      EN<->EN    fixed     1.000        -        -        -      -      -  
  Q4_1<->Q4_1    fixed     0.353        -        -        -      -      -  
  Q4_2<->Q4_2    fixed     0.376        -        -        -      -      -  
  Q4_3<->Q4_3    fixed     0.323        -        -        -      -      -  
  Q4_4<->Q4_4    fixed     0.293        -        -        -      -      -  
  Q4_5<->Q4_5    fixed     0.353        -        -        -      -      -  
  Q4_8<->Q4_8    fixed     0.381        -        -        -      -      -  
  Q4_9<->Q4_9    fixed     0.462        -        -        -      -      -  
Q4_10<->Q4_10    fixed     0.327        -        -        -      -      -  
Q4_11<->Q4_11    fixed     0.329        -        -        -      -      -  
Q4_15<->Q4_15    fixed     0.397        -        -        -      -      -  
Q4_16<->Q4_16    fixed     0.468        -        -        -      -      -  
Q4_17<->Q4_17    fixed     0.554        -        -        -      -      -  
Q4_18<->Q4_18    fixed     0.241        -        -        -      -      -  
  Q5_1<->Q5_1    fixed     0.523        -        -        -      -      -  
  Q5_2<->Q5_2    fixed     0.541        -        -        -      -      -  
  Q5_3<->Q5_3    fixed     0.503        -        -        -      -      -  
  Q5_4<->Q5_4    fixed     0.247        -        -        -      -      -  
  Q5_5<->Q5_5    fixed     0.261        -        -        -      -      -  
  Q5_6<->Q5_6    fixed     0.357        -        -        -      -      -  
  Q5_8<->Q5_8    fixed     0.355        -        -        -      -      -  
Q5_12<->Q5_12    fixed     0.505        -        -        -      -      -  
  Q6_1<->Q6_1    fixed     0.368        -        -        -      -      -  
  Q6_2<->Q6_2    fixed     0.318        -        -        -      -      -  
  Q6_3<->Q6_3    fixed     0.301        -        -        -      -      -  
  Q6_4<->Q6_4    fixed     0.338        -        -        -      -      -  
  Q6_5<->Q6_5    fixed     0.721        -        -        -      -      -  
  Q6_6<->Q6_6    fixed     0.267        -        -        -      -      -  
  Q6_7<->Q6_7    fixed     0.201        -        -        -      -      -  
  Q6_8<->Q6_8    fixed     0.282        -        -        -      -      -  
Q6_11<->Q6_11    fixed     0.356        -        -        -      -      -  
  Q7_2<->Q7_2    fixed     0.383        -        -        -      -      -  
  Q7_4<->Q7_4    fixed     0.569        -        -        -      -      -  
  Q7_5<->Q7_5    fixed     0.430        -        -        -      -      -  
  Q7_7<->Q7_7    fixed     0.426        -        -        -      -      -  
  Q7_8<->Q7_8    fixed     0.387        -        -        -      -      -  
Q7_12<->Q7_12    fixed     0.438        -        -        -      -      -  
Q7_13<->Q7_13    fixed     0.811        -        -        -      -      -  
Q7_14<->Q7_14    fixed     0.472        -        -        -      -      -  

  Threshold
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
      Q4_1|t1     free    -1.062      0.088  -12.121    0.000 -1.233 -0.890
      Q4_1|t2     free     0.153      0.071    2.151    0.032  0.014  0.293
      Q4_1|t3     free     1.449      0.106   13.680    0.000  1.241  1.656
      Q4_1|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
      Q4_2|t1     free    -0.993      0.085  -11.650    0.000 -1.161 -0.826
      Q4_2|t2     free     0.521      0.075    6.983    0.000  0.375  0.667
      Q4_2|t3     free     1.732      0.127   13.635    0.000  1.483  1.981
      Q4_2|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
      Q4_3|t1     free    -1.198      0.093  -12.891    0.000 -1.381 -1.016
      Q4_3|t2     free     0.040      0.071    0.566    0.571 -0.099  0.179
      Q4_3|t3     free     1.449      0.106   13.680    0.000  1.241  1.656
      Q4_3|t4     free     2.006      0.157   12.766    0.000  1.698  2.314
      Q4_4|t1     free    -1.150      0.091  -12.648    0.000 -1.329 -0.972
      Q4_4|t2     free    -0.153      0.071   -2.151    0.032 -0.293 -0.014
      Q4_4|t3     free     1.426      0.105   13.642    0.000  1.221  1.631
      Q4_4|t4     free     2.144      0.177   12.087    0.000  1.796  2.491
      Q4_5|t1     free    -0.930      0.083  -11.159    0.000 -1.093 -0.766
      Q4_5|t2     free     0.448      0.074    6.092    0.000  0.304  0.593
      Q4_5|t3     free     1.383      0.102   13.551    0.000  1.183  1.583
      Q4_5|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
      Q4_8|t1     free    -0.812      0.080  -10.133    0.000 -0.969 -0.655
      Q4_8|t2     free     0.457      0.074    6.204    0.000  0.313  0.602
      Q4_8|t3     free     1.547      0.112   13.773    0.000  1.327  1.767
      Q4_8|t4     free     2.341      0.215   10.913    0.000  1.921  2.761
      Q4_9|t1     free    -0.955      0.084  -11.358    0.000 -1.119 -0.790
      Q4_9|t2     free     0.235      0.072    3.281    0.001  0.095  0.376
      Q4_9|t3     free     1.090      0.089   12.301    0.000  0.916  1.264
      Q4_9|t4     free     2.070      0.166   12.468    0.000  1.745  2.395
     Q4_10|t1     free    -1.198      0.093  -12.891    0.000 -1.381 -1.016
     Q4_10|t2     free    -0.227      0.072   -3.168    0.002 -0.367 -0.087
     Q4_10|t3     free     1.603      0.116   13.773    0.000  1.375  1.831
     Q4_10|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
     Q4_11|t1     free    -1.007      0.086  -11.746    0.000 -1.175 -0.839
     Q4_11|t2     free     0.032      0.071    0.453    0.651 -0.107  0.171
     Q4_11|t3     free     1.150      0.091   12.648    0.000  0.972  1.329
     Q4_11|t4     free     2.006      0.157   12.766    0.000  1.698  2.314
     Q4_15|t1     free    -0.905      0.083  -10.958    0.000 -1.067 -0.743
     Q4_15|t2     free     0.302      0.072    4.183    0.000  0.160  0.443
     Q4_15|t3     free     1.342      0.100   13.443    0.000  1.147  1.538
     Q4_15|t4     free     2.489      0.251    9.931    0.000  1.998  2.980
     Q4_16|t1     free    -0.823      0.080  -10.238    0.000 -0.981 -0.666
     Q4_16|t2     free     0.170      0.071    2.377    0.017  0.030  0.309
     Q4_16|t3     free     1.304      0.098   13.321    0.000  1.112  1.496
     Q4_16|t4     free     2.341      0.215   10.913    0.000  1.921  2.761
     Q4_17|t1     free    -0.539      0.075   -7.205    0.000 -0.686 -0.393
     Q4_17|t2     free     0.521      0.075    6.983    0.000  0.375  0.667
     Q4_17|t3     free     1.362      0.101   13.499    0.000  1.165  1.560
     Q4_17|t4     free     2.726      0.330    8.272    0.000  2.080  3.372
     Q4_18|t1     free    -1.105      0.089  -12.390    0.000 -1.280 -0.930
     Q4_18|t2     free     0.413      0.073    5.644    0.000  0.270  0.557
     Q4_18|t3     free     1.521      0.111   13.760    0.000  1.305  1.738
     Q4_18|t4     free     2.489      0.251    9.931    0.000  1.998  2.980
      Q5_1|t1     free    -1.076      0.088  -12.212    0.000 -1.248 -0.903
      Q5_1|t2     free     0.008      0.071    0.113    0.910 -0.131  0.147
      Q5_1|t3     free     1.020      0.086   11.841    0.000  0.851  1.189
      Q5_1|t4     free     2.144      0.177   12.087    0.000  1.796  2.491
      Q5_2|t1     free    -1.323      0.099  -13.384    0.000 -1.517 -1.129
      Q5_2|t2     free    -0.521      0.075   -6.983    0.000 -0.667 -0.375
      Q5_2|t3     free     0.502      0.074    6.761    0.000  0.357  0.648
      Q5_2|t4     free     1.697      0.124   13.691    0.000  1.454  1.940
      Q5_3|t1     free    -1.020      0.086  -11.841    0.000 -1.189 -0.851
      Q5_3|t2     free    -0.048      0.071   -0.679    0.497 -0.187  0.091
      Q5_3|t3     free     0.881      0.082   10.755    0.000  0.721  1.042
      Q5_3|t4     free     1.769      0.130   13.561    0.000  1.513  2.024
      Q5_4|t1     free    -1.404      0.103  -13.598    0.000 -1.607 -1.202
      Q5_4|t2     free    -0.835      0.081  -10.342    0.000 -0.993 -0.677
      Q5_4|t3     free    -0.310      0.072   -4.296    0.000 -0.452 -0.169
      Q5_4|t4     free     1.182      0.092   12.812    0.000  1.001  1.363
      Q5_5|t1     free    -1.521      0.111  -13.760    0.000 -1.738 -1.305
      Q5_5|t2     free    -0.823      0.080  -10.238    0.000 -0.981 -0.666
      Q5_5|t3     free    -0.302      0.072   -4.183    0.000 -0.443 -0.160
      Q5_5|t4     free     1.267      0.096   13.188    0.000  1.079  1.455
      Q5_6|t1     free    -1.449      0.106  -13.680    0.000 -1.656 -1.241
      Q5_6|t2     free    -0.457      0.074   -6.204    0.000 -0.602 -0.313
      Q5_6|t3     free     0.812      0.080   10.133    0.000  0.655  0.969
      Q5_6|t4     free     1.769      0.130   13.561    0.000  1.513  2.024
      Q5_8|t1     free    -1.120      0.090  -12.477    0.000 -1.296 -0.944
      Q5_8|t2     free    -0.378      0.073   -5.196    0.000 -0.521 -0.236
      Q5_8|t3     free     0.586      0.076    7.758    0.000  0.438  0.734
      Q5_8|t4     free     1.664      0.121   13.731    0.000  1.426  1.901
     Q5_12|t1     free    -1.120      0.090  -12.477    0.000 -1.296 -0.944
     Q5_12|t2     free    -0.466      0.074   -6.315    0.000 -0.611 -0.322
     Q5_12|t3     free     0.801      0.080   10.028    0.000  0.645  0.958
     Q5_12|t4     free     1.697      0.124   13.691    0.000  1.454  1.940
      Q6_1|t1     free     0.000      0.071    0.000    1.000 -0.139  0.139
      Q6_1|t2     free     1.198      0.093   12.891    0.000  1.016  1.381
      Q6_1|t3     free     1.633      0.119   13.758    0.000  1.400  1.865
      Q6_1|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
      Q6_2|t1     free    -0.605      0.076   -7.978    0.000 -0.754 -0.457
      Q6_2|t2     free     0.790      0.080    9.923    0.000  0.634  0.946
      Q6_2|t3     free     1.362      0.101   13.499    0.000  1.165  1.560
      Q6_2|t4     free     2.144      0.177   12.087    0.000  1.796  2.491
      Q6_3|t1     free    -0.484      0.074   -6.538    0.000 -0.629 -0.339
      Q6_3|t2     free     0.801      0.080   10.028    0.000  0.645  0.958
      Q6_3|t3     free     1.426      0.105   13.642    0.000  1.221  1.631
      Q6_3|t4     free     2.070      0.166   12.468    0.000  1.745  2.395
      Q6_4|t1     free    -0.625      0.076   -8.198    0.000 -0.774 -0.475
      Q6_4|t2     free     0.596      0.076    7.868    0.000  0.447  0.744
      Q6_4|t3     free     1.426      0.105   13.642    0.000  1.221  1.631
      Q6_4|t4     free     2.006      0.157   12.766    0.000  1.698  2.314
      Q6_5|t1     free    -0.779      0.079   -9.817    0.000 -0.935 -0.624
      Q6_5|t2     free     0.293      0.072    4.070    0.000  0.152  0.435
      Q6_5|t3     free     0.905      0.083   10.958    0.000  0.743  1.067
      Q6_5|t4     free     1.732      0.127   13.635    0.000  1.483  1.981
      Q6_6|t1     free    -0.353      0.073   -4.859    0.000 -0.495 -0.210
      Q6_6|t2     free     1.120      0.090   12.477    0.000  0.944  1.296
      Q6_6|t3     free     1.732      0.127   13.635    0.000  1.483  1.981
      Q6_6|t4     free     2.489      0.251    9.931    0.000  1.998  2.980
      Q6_7|t1     free    -0.674      0.077   -8.743    0.000 -0.826 -0.523
      Q6_7|t2     free     0.558      0.075    7.427    0.000  0.411  0.705
      Q6_7|t3     free     1.521      0.111   13.760    0.000  1.305  1.738
      Q6_7|t4     free     2.341      0.215   10.913    0.000  1.921  2.761
      Q6_8|t1     free    -0.846      0.081  -10.446    0.000 -1.005 -0.687
      Q6_8|t2     free     0.577      0.075    7.648    0.000  0.429  0.725
      Q6_8|t3     free     1.574      0.114   13.778    0.000  1.350  1.798
      Q6_8|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
     Q6_11|t1     free    -1.047      0.087  -12.028    0.000 -1.218 -0.877
     Q6_11|t2     free    -0.370      0.073   -5.083    0.000 -0.512 -0.227
     Q6_11|t3     free     0.980      0.085   11.554    0.000  0.814  1.147
     Q6_11|t4     free     1.898      0.144   13.192    0.000  1.616  2.180
      Q7_2|t1     free    -1.076      0.088  -12.212    0.000 -1.248 -0.903
      Q7_2|t2     free    -0.422      0.073   -5.756    0.000 -0.566 -0.278
      Q7_2|t3     free     1.215      0.094   12.968    0.000  1.031  1.399
      Q7_2|t4     free     2.232      0.193   11.589    0.000  1.854  2.609
      Q7_4|t1     free    -1.267      0.096  -13.188    0.000 -1.455 -1.079
      Q7_4|t2     free    -0.422      0.073   -5.756    0.000 -0.566 -0.278
      Q7_4|t3     free     0.869      0.082   10.653    0.000  0.709  1.029
      Q7_4|t4     free     1.851      0.139   13.344    0.000  1.580  2.123
      Q7_5|t1     free    -1.182      0.092  -12.812    0.000 -1.363 -1.001
      Q7_5|t2     free    -0.530      0.075   -7.095    0.000 -0.676 -0.384
      Q7_5|t3     free     0.980      0.085   11.554    0.000  0.814  1.147
      Q7_5|t4     free     1.769      0.130   13.561    0.000  1.513  2.024
      Q7_7|t1     free    -1.547      0.112  -13.773    0.000 -1.767 -1.327
      Q7_7|t2     free    -0.917      0.083  -11.059    0.000 -1.080 -0.755
      Q7_7|t3     free    -0.422      0.073   -5.756    0.000 -0.566 -0.278
      Q7_7|t4     free     1.062      0.088   12.121    0.000  0.890  1.233
      Q7_8|t1     free    -1.285      0.097  -13.256    0.000 -1.475 -1.095
      Q7_8|t2     free    -0.493      0.074   -6.650    0.000 -0.639 -0.348
      Q7_8|t3     free     0.893      0.082   10.857    0.000  0.732  1.054
      Q7_8|t4     free     1.769      0.130   13.561    0.000  1.513  2.024
     Q7_12|t1     free    -1.449      0.106  -13.680    0.000 -1.656 -1.241
     Q7_12|t2     free    -0.930      0.083  -11.159    0.000 -1.093 -0.766
     Q7_12|t3     free    -0.016      0.071   -0.226    0.821 -0.155  0.123
     Q7_12|t4     free     1.150      0.091   12.648    0.000  0.972  1.329
     Q7_13|t1     free    -1.574      0.114  -13.778    0.000 -1.798 -1.350
     Q7_13|t2     free    -0.893      0.082  -10.857    0.000 -1.054 -0.732
     Q7_13|t3     free    -0.137      0.071   -1.924    0.054 -0.277  0.003
     Q7_13|t4     free     0.905      0.083   10.958    0.000  0.743  1.067
     Q7_14|t1     free    -1.633      0.119  -13.758    0.000 -1.865 -1.400
     Q7_14|t2     free    -1.007      0.086  -11.746    0.000 -1.175 -0.839
     Q7_14|t3     free    -0.277      0.072   -3.845    0.000 -0.418 -0.136
     Q7_14|t4     free     0.993      0.085   11.650    0.000  0.826  1.161

  Scale
                  type  estimate  std.error  z-value  P(>|z|)  lower  upper
   Q4_1**Q4_1    fixed     1.000        -        -        -      -      -  
   Q4_2**Q4_2    fixed     1.000        -        -        -      -      -  
   Q4_3**Q4_3    fixed     1.000        -        -        -      -      -  
   Q4_4**Q4_4    fixed     1.000        -        -        -      -      -  
   Q4_5**Q4_5    fixed     1.000        -        -        -      -      -  
   Q4_8**Q4_8    fixed     1.000        -        -        -      -      -  
   Q4_9**Q4_9    fixed     1.000        -        -        -      -      -  
 Q4_10**Q4_10    fixed     1.000        -        -        -      -      -  
 Q4_11**Q4_11    fixed     1.000        -        -        -      -      -  
 Q4_15**Q4_15    fixed     1.000        -        -        -      -      -  
 Q4_16**Q4_16    fixed     1.000        -        -        -      -      -  
 Q4_17**Q4_17    fixed     1.000        -        -        -      -      -  
 Q4_18**Q4_18    fixed     1.000        -        -        -      -      -  
   Q5_1**Q5_1    fixed     1.000        -        -        -      -      -  
   Q5_2**Q5_2    fixed     1.000        -        -        -      -      -  
   Q5_3**Q5_3    fixed     1.000        -        -        -      -      -  
   Q5_4**Q5_4    fixed     1.000        -        -        -      -      -  
   Q5_5**Q5_5    fixed     1.000        -        -        -      -      -  
   Q5_6**Q5_6    fixed     1.000        -        -        -      -      -  
   Q5_8**Q5_8    fixed     1.000        -        -        -      -      -  
 Q5_12**Q5_12    fixed     1.000        -        -        -      -      -  
   Q6_1**Q6_1    fixed     1.000        -        -        -      -      -  
   Q6_2**Q6_2    fixed     1.000        -        -        -      -      -  
   Q6_3**Q6_3    fixed     1.000        -        -        -      -      -  
   Q6_4**Q6_4    fixed     1.000        -        -        -      -      -  
   Q6_5**Q6_5    fixed     1.000        -        -        -      -      -  
   Q6_6**Q6_6    fixed     1.000        -        -        -      -      -  
   Q6_7**Q6_7    fixed     1.000        -        -        -      -      -  
   Q6_8**Q6_8    fixed     1.000        -        -        -      -      -  
 Q6_11**Q6_11    fixed     1.000        -        -        -      -      -  
   Q7_2**Q7_2    fixed     1.000        -        -        -      -      -  
   Q7_4**Q7_4    fixed     1.000        -        -        -      -      -  
   Q7_5**Q7_5    fixed     1.000        -        -        -      -      -  
   Q7_7**Q7_7    fixed     1.000        -        -        -      -      -  
   Q7_8**Q7_8    fixed     1.000        -        -        -      -      -  
 Q7_12**Q7_12    fixed     1.000        -        -        -      -      -  
 Q7_13**Q7_13    fixed     1.000        -        -        -      -      -  
 Q7_14**Q7_14    fixed     1.000        -        -        -      -      -  

Session information

sessionInfo()

R version 4.0.3 (2020-10-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] xtable_1.8-4      kableExtra_1.3.1  readxl_1.3.1      coda_0.19-4      
 [5] nFactors_2.4.1    lattice_0.20-41   psych_2.0.12      psychometric_2.2 
 [9] multilevel_2.6    MASS_7.3-53       nlme_3.1-151      mvtnorm_1.1-1    
[13] ggcorrplot_0.1.3  naniar_0.6.0      simsem_0.5-15     lslx_0.6.10      
[17] MIIVsem_0.5.5     lavaanPlot_0.5.1  semTools_0.5-4    lavaan_0.6-7     
[21] data.table_1.13.6 patchwork_1.1.1   forcats_0.5.0     stringr_1.4.0    
[25] dplyr_1.0.3       purrr_0.3.4       readr_1.4.0       tidyr_1.1.2      
[29] tibble_3.0.5      ggplot2_3.3.3     tidyverse_1.3.0  

loaded via a namespace (and not attached):
 [1] fs_1.5.0           lubridate_1.7.9.2  webshot_0.5.2      RColorBrewer_1.1-2
 [5] httr_1.4.2         rprojroot_2.0.2    tools_4.0.3        backports_1.2.0   
 [9] R6_2.5.0           DBI_1.1.1          colorspace_2.0-0   withr_2.4.0       
[13] tidyselect_1.1.0   mnormt_2.0.2       nonnest2_0.5-5     compiler_4.0.3    
[17] git2r_0.28.0       cli_2.2.0          rvest_0.3.6        xml2_1.3.2        
[21] sandwich_3.0-0     labeling_0.4.2     scales_1.1.1       digest_0.6.27     
[25] pbivnorm_0.6.0     rmarkdown_2.6      pkgconfig_2.0.3    htmltools_0.5.1   
[29] highr_0.8          dbplyr_2.0.0       htmlwidgets_1.5.3  rlang_0.4.10      
[33] rstudioapi_0.13    farver_2.0.3       visNetwork_2.0.9   generics_0.1.0    
[37] zoo_1.8-8          jsonlite_1.7.2     magrittr_2.0.1     Matrix_1.2-18     
[41] Rcpp_1.0.6         munsell_0.5.0      fansi_0.4.2        lifecycle_0.2.0   
[45] visdat_0.5.3       stringi_1.5.3      whisker_0.4        yaml_2.2.1        
[49] CompQuadForm_1.4.3 plyr_1.8.6         grid_4.0.3         parallel_4.0.3    
[53] promises_1.1.1     crayon_1.3.4       haven_2.3.1        hms_1.0.0         
[57] tmvnsim_1.0-2      knitr_1.30         ps_1.5.0           pillar_1.4.7      
[61] reshape2_1.4.4     stats4_4.0.3       reprex_0.3.0       glue_1.4.2        
[65] evaluate_0.14      modelr_0.1.8       vctrs_0.3.6        httpuv_1.5.5      
[69] cellranger_1.1.0   gtable_0.3.0       assertthat_0.2.1   xfun_0.20         
[73] broom_0.7.3        later_1.1.0.1      viridisLite_0.3.0  workflowr_1.6.2   
[77] DiagrammeR_1.0.6.1 ellipsis_0.3.1