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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
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