Last updated: 2020-06-10
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | eecb366 | noah-padgett | 2020-05-06 | updated para recovery |
| html | eecb366 | noah-padgett | 2020-05-06 | updated para recovery |
| html | 51afcfa | noah-padgett | 2020-03-31 | Build site. |
| Rmd | f3a547f | noah-padgett | 2020-03-31 | fixed reference link |
| html | f3a547f | noah-padgett | 2020-03-31 | fixed reference link |
| Rmd | 85e8fd8 | noah-padgett | 2020-03-31 | updated bias pages |
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| Rmd | 47117a0 | noah-padgett | 2020-03-31 | updated bias pages |
| html | 47117a0 | noah-padgett | 2020-03-31 | updated bias pages |
| html | 35a72f4 | noah-padgett | 2020-03-30 | initial commit |
| Rmd | 25ca73e | noah-padgett | 2020-03-30 | initial commit |
| Rmd | dab7ac9 | noah-padgett | 2019-06-14 | Start workflowr project. |
Welcome to our research website on multilevel CFA. On this site, you will find the results of our study on parameter recovery across robust estimation methods for multilevel CFA. We utilizes three different estimators:
This project is additional results from R. Noah Padgett’s master’s thesis project. The simulation project was quite extensive and mainly focused on fit statistics. This project extends that work by using the a subset of the output files to report on parameter recovery.
*Admissible Replications and Convergence
Next, identify the proportion of replications where ULSMV converged and admissible when WLSMV was not. Maybe you can make like a set of 2x2 tables of that show this relationship as sample size decreases.
The following pages investigated the effect of the simulation design (sample size, parameters, estimation) on the estimates for the different parameters and the estimated level of bias (relative bias). The final results are reported as effect sizes (e.g., omega-squared or partial-omega-squared).
The following pages investigated the effect of the simulation design (sample size, parameters, estimation) on the estimates for the different parameters’ standard errors and the estimated level of bias (relative bias) in those estimates. The final results are reported as effect sizes (e.g., omega-squared or partial-omega-squared).