What is PLS-SEM?
Understand the principles of PLS-SEM and how it differs from CB-SEM
In this short lecture, we introduce the basic functioning principles of the PLS-SEM method and contrast it with covariance-based SEM. Amongst others, we discuss good (and not so good) reasons for using PLS-SEM and describe minimum sample size requirements. The lecture is part of the lecture "PLS-SEM: A comprehensive introduction".
- 25-minute sample video discussing the key features of the PLS-SEM method
- Offers guidance regarding the situations, which favor the use of PLS-SEM
- Discusses minimum sample size requirements
Marko Sarstedt is Professor of Marketing at Ludwig-Maximilians-University Munich, Germany, and Adjunct Research Professor at Babeș-Bolyai University Cluj-Napoca, Romania. His research has been published in journals such as Nature Human Behaviour, Journal of the Academy of Marketing Science, Journal of Marketing Research, MIS Quarterly, Multivariate Behavioral Research, Organizational Research Methods, and Psychometrika. He has co-authored the books "A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)" and "Advanced Issues in Partial Least Squares Structural Equation Modeling" and regularly gives seminars on the method worldwide.