A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
Fourth Edition
- Joseph F. Hair, Jr. - University of South Alabama, USA
- G. Tomas M. Hult - Michigan State University, USA
- Christian M. Ringle - Hamburg University of Technology, Germany
- Marko Sarstedt - Ludwig-Maximilians-University, Munich, Germany, Babes-Bolyai University, Romania
Courses:
Quantitative Research Methods in Education | Quantitative Research Methods in Education | Quantitative/Statistical Research in Business & Management | Quantitative/Statistical Research in Business & Management | Statistics - General Interest | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling
Quantitative Research Methods in Education | Quantitative Research Methods in Education | Quantitative/Statistical Research in Business & Management | Quantitative/Statistical Research in Business & Management | Statistics - General Interest | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling
August 2026 | 325 pages | SAGE Publications, Inc
The Fourth Edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM with limited emphasis on equations and symbols, instead, explaining the details in straightforward language. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications.
This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 4. New topics have been added throughout the text.
This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 4. New topics have been added throughout the text.
Preface
About the Authors
Chapter 1: An Introduction to Structural Equation Modeling
Chapter 2: Specifying the Path Model and Examining Data
Chapter 3: Path Model Estimation
Chapter 4: Assessing PLS-SEM Results—Part I: Evaluation of the Reflective Measurement Models
Chapter 5: Assessing PLS-SEM Results—Part II: Evaluation of the Formative Measurement Models
Chapter 6: Assessing PLS-SEM Results—Part III: Evaluation of the Structural Model
Chapter 7: Mediator and Moderator Analysis
Chapter 8: Outlook on Advanced Methods
Glossary
References
Index