Document Type
Article
Publication Date
2023
Publication Title
Data Analysis Perspectives Journal
Volume
4
Issue
1
Pages
1-7
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.
Rights
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
Repository Citation
Ma, Kathy Qing and Zhang, Weiyong, "Assessing Univariate and Multivariate Normality in PLS-SEM" (2023). Information Technology & Decision Sciences Faculty Publications. 89.
https://digitalcommons.odu.edu/itds_facpubs/89
Comments
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