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Evaluating Fit Indices for Multivariate t-Based Structural Equation Modeling with Data Contamination
In conventional structural equation modeling (SEM), with the presence of even a tiny amount of data contamination due to outliers or influential observations, normal-theory maximum likelihood (ML-Normal) is not efficient and can be severely biased. The multivariate-t-based SEM, which recently got im...
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| Publicat a: | Front Psychol |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5532449/ https://ncbi.nlm.nih.gov/pubmed/28804470 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2017.01286 |
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