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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".

Key benefits

  • 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

Your Instructor


Marko Sarstedt
Marko Sarstedt

Marko Sarstedt is Professor of Marketing at the Otto-von-Guericke University Magdeburg (Germany) and Adjunct Professor at Monash University Malaysia. His research has been published in journals such as 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.


Course Curriculum


  Introduction
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