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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Detalles Bibliográficos
Autores principales: Lai, Mark H. C., Zhang, Jiaqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532449/
https://www.ncbi.nlm.nih.gov/pubmed/28804470
http://dx.doi.org/10.3389/fpsyg.2017.01286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532449/
https://www.ncbi.nlm.nih.gov/pubmed/28804470
http://dx.doi.org/10.3389/fpsyg.2017.01286

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