Evaluating Fit Indices for Multivariate t-Based Structural Equation Modeling with Data Contamination
نویسندگان
چکیده
منابع مشابه
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 implemented in Mplus as an approach for mixture modeling, represents a robust estimation alternativ...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2017
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2017.01286