Multilevel analyses in PLS-SEM: Article, video, and sample dataset

The article below explains how one can conduct a multilevel analysis, in the context of structural equation modeling via partial least squares (PLS-SEM).

Kock (2020). Multilevel analyses in PLS-SEM: An anchor-factorial with variation diffusion approach. Data Analysis Perspectives Journal, 1(2), 1-6.

A link to a PDF file is available ().

Abstract:

A multilevel analysis, in the context of structural equation modeling via partial least squares (PLS-SEM), can be seen as an analysis in which: (a) data is collected at the individual level from multiple groups, and (b) group membership is expected to influence data analysis results. In this paper we illustrate such an analysis employing WarpPLS, a leading PLS-SEM software tool. The analysis employs an anchor-factorial with variation diffusion approach.

The short video linked below provides an overview on how to conduct multilevel analyses in PLS-SEM.

https://youtu.be/pNXI1Cz-Qkk

Finally, the site below provides a sample dataset: "Job performance in three companies dataset". This dataset is available under the "Resources" area.

https://warppls.com

Enjoy!