The performance of MLR, USLMV, and WLSMV estimation in structural regression models with ordinal variables

By Cheng-Hsien Li. 2014

71 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3c2d528245c0e00d2ad1d80ea08cdc8f6b9df480

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1. Yan Xia
2. Yanyun Yang
3. David B. Flora
4. Eunseong Cho
5. Daniel A. Sass
6. C. Viladrich
7. S. Green
8. V. Pitardi

Citations in the corpus

• RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods (2018, result): “…have found that ULS results in higher nonconvergence rates than does DWLS (Forero, Maydeu-Olivares, & GallardoPujol, 2009), but that it provides slightly more accurate parameter estimates and standard errors than DWLS (Forero et al., 2009; C. H. Li, 2014; Yang-Wallentin, Jöreskog, & Luo, 2010).”