Last updated: 2019-11-21
Checks: 2 0
Knit directory: mcfa-fit/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 332a2d6 | noah-padgett | 2019-11-22 | updated about page |
| html | 344cfb6 | noah-padgett | 2019-10-31 | new shiny app |
| Rmd | 3524c69 | noah-padgett | 2019-10-31 | new shiny app |
| html | 7487ab8 | noah-padgett | 2019-10-31 | Build site. |
| Rmd | 6028223 | noah-padgett | 2019-10-31 | shiny-app demo trial |
| Rmd | 15defd2 | noah-padgett | 2019-10-19 | least-squares estimation method descriptions |
| html | 15defd2 | noah-padgett | 2019-10-19 | least-squares estimation method descriptions |
The WLSMV fit function has been shown to be:
\[F_{WLSMV}= {\left(s - \sigma(\hat\theta)\right)}^{\prime}W^{-1}{\left(s - \sigma(\hat\theta)\right)}\]
where the interested reader is refered to Muthen (1978) for information on the WLS estimation method more generally, and Muthen (1994) for the general ML-CFA model formulation but to (include references to two-level estimation with WLSMV).
WLSMV takes significantly longer than MLR (i.e., WLSMV was 2-5 minutes per replication compared to MLR which converged in no more than a second or two).