Harman’s single factor test in PLS-SEM: Checking for common method bias

The article below explains how one can check for common method bias using Harman’s single factor test in the context of structural equation modeling via partial least squares (PLS-SEM).

Kock, N. (2021). Harman’s single factor test in PLS-SEM: Checking for common method bias. Data Analysis Perspectives Journal, 2(2), 1-6.

A link to a PDF file is available ().

Abstract:

Common method bias can be defined, in the context of structural equation modeling via partial least squares (PLS-SEM), as a phenomenon that is caused by the measurement method used in a study, and not by the network of causes and effects connecting the latent variables in the study. We illustrate how Harman’s single factor test of common method bias can be conducted with WarpPLS, a leading PLS-SEM software tool.