Joe Hair & G. Tomas M. Hult 
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) [PDF ebook] 

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 Smart PLS 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.

Inhaltsverzeichnis

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

Über den Autor

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 frequently cited in the social sciences with more than 100, 000 citations according to Google Scholar. Marko has won numerous best paper and citation awards, including five Emerald Citations of Excellence awards and two AMS William R. Darden Awards. Marko has been repeatedly named member of Clarivate Analytics’ Highly Cited Researchers List. In March 2022, he was awarded an honorary doctorate from Babe?-Bolyai-University Cluj-Napoca for his research achievements and contributions to international exchange.