Go Back Book review March, 1995

Structural equation models with nonnormal variables: Problems and remedies

Author Stephen G. West Author Patrick J. Curran Author John F. Finch

Abstract

given that real data often fail to satisfy the underlying scaling and normality assumptions, there has been growing interest in determining the robustness of structural equation modeling techniques to violations of scaling the normality assumptions and in developing alternative remedial strategies when these assumptions are seriously violated / these topics are the focus of the present chapter overview of normal theory estimation / effects and detection of nonnormality / remedies for multivariate nonnormality

Keywords

Structural Equation Models (SEM) Nonnormal Variables Scaling Assumptions Normality Violations Robustness Remedial Strategies Normal Theory Estimation Multivariate Nonnormality Detection Methods Statistical Techniques Data Distribution Issues Model Robustness SEM Techniques Statistical Remedies
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Pages 56–75
ISSN 145224684X