Data Analysis Perspectives Journal
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.
Included with the kind written permission of Data Analysis Perspectives Journal and the author.
Original Publication Citation
Ma, K. Q., & Zhang, W. (2023). Assessing univariate and multivariate normality in PLS-SEM. Data Analysis Perspectives Journal, 4(1), 1-7. https://scriptwarp.com/dapj/2023_DAPJ_4_1/Ma_Zhang_2023_DAPJ_4_1_AssessingNormality.pdf
Ma, Kathy Qing and Zhang, Weiyong, "Assessing Univariate and Multivariate Normality in PLS-SEM" (2023). Information Technology & Decision Sciences Faculty Publications. 89.