You are here

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
Share

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

Third Edition


July 2021 | 384 pages | SAGE Publications, Inc
The third 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 in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity
 
Preface
 
About the Authors
 
Chapter 1. An Introduction to Structural Equation Modeling
Chapter Preview

 
What Is Structural Equation Modeling?

 
Considerations in Using Structural Equation Modeling

 
Principles of Structural Equation Modeling

 
PLS-SEM, CB-SEM, and Regressions Based on Sum Scores

 
Considerations When Applying PLS-SEM

 
Guidelines for Choosing Between PLS-SEM and CB-SEM

 
Organization of Remaining Chapters

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 2. Specifying the Path Model and Examining Data
Chapter Preview

 
Stage 1: Specifying the Structural Model

 
Stage 2: Specifying the Measurement Models

 
Stage 3: Data Collection and Examination

 
Case Study Illustration—Specifying the PLS-SEM Model

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 3. Path Model Estimation
Chapter Preview

 
Stage 4: Model Estimation and the PLS-SEM Algorithm

 
Case Study Illustration—PLS Path Model Estimation (Stage 4)

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 4. Assessing PLS-SEM Results—Part I: Evaluation of the Reflective Measurement Models
Chapter Preview

 
Overview of Stage 5: Evaluation of Measurement Models

 
Stage 5a: Assessing Results of Reflective Measurement Models

 
Case Study Illustration—Evaluation of the Reflective Measurement Models (Stage 5a)

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 5. Assessing PLS-SEM Results—Part II: Evaluation of the Formative Measurement Models
Chapter Preview

 
Stage 5b: Assessing Results of Formative Measurement Models

 
Case Study Illustration—Evaluation of the Formative Measurement Models (Stage 5b)

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 6. Assessing PLS-SEM Results—Part III: Evaluation of the Structural Model
Chapter Preview

 
Stage 6: Structural Model Results Evaluation

 
Case Study Illustration—Evaluation of the Structural Model (Stage 6)

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 7. Mediator and Moderator Analysis
Chapter Preview

 
Mediation

 
Moderation

 
Case Study Illustration—Moderation

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 8. Outlook on Advanced Methods
Chapter Preview

 
Importance-Performance Map Analysis

 
Necessary Condition Analysis

 
Higher-Order Constructs

 
Confirmatory Tetrad Analysis

 
Examining Endogeneity

 
Treating Observed and Unobserved Heterogeneity

 
Measurement Model Invariance

 
Consistent PLS-SEM

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Glossary
 
References
 
Index

This book provides my course with details guideline for analysis in the latest PLS-SEM research and my students can understand it well

Mr Rochman Hadi Mustofa
Education, Universitas Muhammadiyah Surakarta
February 25, 2023

Joseph F. Hair, Jr.

Joseph F. Hair, Jr.is Professor of Marketing, PhD Director, and the Cleverdon Chair of Business in the Mitchell College of Business, University of South Alabama, USA. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 95 books, including Multivariate Data Analysis (8th edition, 2019) (cited 170,000+ times), MKTG (13th edition, 2019), Essentials of Business Research Methods, 5th edition, 2023), and Essentials of Marketing Research (6th edition, 2023). Dr. Hair is the most highly cited... More About Author

G. T. Hult

G. Tomas M. Hult is Professor and Byington Endowed Chair at Michigan State University (USA), and holds a visiting Chaired Professorship at Leeds University Business School (United Kingdom) and a visiting professorship at Uppsala University (Sweden). Professor Hult is a member of the Expert Networks of the World Economic Forum and United Nations/UNCTAD’s World Investment Forum, and is also part of the Expert Team at the American Customer Satisfaction Index (ACSI). Dr. Hult was recognized in 2016 as the Academy of Marketing Science / CUTCO-Vector Distinguished Marketing Educator; he is an elected Fellow of the Academy of International... More About Author

Christian M. Ringle

Christian M. Ringle is Professor of Management at the Hamburg University of Technology (Germany). His research addresses management of organizations, human resource management, methods development for business analytics and their application to business research. His contributions in these fields have been published in journals such as International Journal of Research in Marketing, Information Systems Research, Journal of the Academy of Marketing Science, MIS Quarterly, Organizational Research Methods, and The International Journal of Human Resource Management. Since 2018, he has been named member of Clarivate Analytics’ Highly Cited... More About Author

Marko Sarstedt

Marko Sarstedt is Professor of Marketing at the Ludwig-Maximilians-University Munich (Germany) and an adjunct research professor at Babe?-Bolyai-University Cluj-Napoca (Romania). His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behaviour, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly, British Journal of Mathematical and Statistical Psychology, and Psychometrika, among others. His research ranks among the most... More About Author

Purchasing options

Please select a format:

ISBN: 9781544396408
$68.00