Review highlights PLS-SEM's advantages in mediation and moderation, suggesting comprehensive guidelines for effective application.
Advanced analytical techniques are reviewed for researchers wanting to expand their knowledge of how partial least squares structural equation modeling (PLS-SEM) facilitates better understanding of complex data relationships. We provide a brief overview of the differences between covariance-based structural equation modeling (CB-SEM) and PLS-SEM along with guidelines for the appropriate application of each. The focus is on mediation, moderation, multi-group analysis, and hierarchical component models. We also summarize several emerging analytical tools available with PLS-SEM. The ease of applying these advanced analytical techniques in many different research contexts makes PLS-SEM the “holy grail” for advanced analysis.
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Matthews et al. (2018) studied this question.
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