Assessing univariate and multivariate normality in PLS-SEM

The article below discusses how one can assess univariate and multivariate normality, in the context of structural equation modeling via partial least squares (PLS-SEM).

Ma, K. Q., & Zhang, W. (2023). Assessing univariate and multivariate normality in PLS-SEM. Data Analysis Perspectives Journal, 4(1), 1-7.

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Abstract:

Partial least squares structural equation modeling (PLS-SEM) has gained popularity among researchers in part due to its relaxed requirement for multivariate normality. One important step in performing structural equation modeling (SEM) is to test the normality assumption. In this paper, we illustrate how to assess univariate and multivariate normality in PLS-SEM using WarpPLS.

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