You are here

Advanced Issues in Partial Least Squares Structural Equation Modeling
Share

Advanced Issues in Partial Least Squares Structural Equation Modeling



272 pages | SAGE Publications, Inc

Written as an extension of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition, this easy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. The book provides a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 3 software (www.smartpls.com) and accompanied by free downloadable data sets, the book emphasizes that any advanced PLS-SEM approach should be carefully applied to ensure that it fits the appropriate research context and the data characteristics that underpin the research. 

 
Preface
 
About the Authors
 
Chapter 1: An Overview of Recent and Emerging Developments in PLS-SEM
Chapter Preview

 
Origins and Evolution of Partial Least Squares Structural Equation Modeling

 
Measurement

 
Model Estimation

 
PLS-SEM or CB-SEM?

 
Organization of the Remaining Chapters

 
Case Study Illustration

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 2: Advanced Modeling
Chapter Preview

 
Hierarchical Component Models

 
Nonlinear Relationships

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 3: Advanced Model Assessment
Chapter Preview

 
Confirmatory Tetrad Analysis

 
Importance-Performance Map Analysis

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 4: Modeling Observed Heterogeneity
Chapter Preview

 
Observed and Unobserved Heterogeneity

 
Testing Measurement Model Invariance

 
Nonparametric Tests

 
Case Study Illustration—Invariance Assessment and Multigroup Analysis

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Chapter 5: Modeling Unobserved Heterogeneity
Chapter Preview

 
Case Study Illustration—Latent Class Analysis

 
Summary

 
Review Questions

 
Critical Thinking Questions

 
Key Terms

 
Suggested Readings

 
 
Glossary
 
References
 
Author Index
 
Subject Index

Supplements

Student Resource Site
Visit the companion website to download data sets and other materials to supplement your studies in PLS-SEM!

Sample Materials & Chapters

Chapter 1

Chapter 4


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

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

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

Siegfried P. Gudergan

Siegfried P. Gudergan is Professor of Strategy within James Cook University in Australia. He also is a Visiting Distinguished Professor at Aalto University in Finland, Visiting Professor at Vienna University of Economics and Business (WU Wien) in Austria, and Emeritus Professor at the University of Waikato in New Zealand. He holds a PhD in Management from the Australian Graduate School of Management that was awarded by both the University of Sydney and the University of New South Wales in Australia, and a degree in Business and Economics from RWTH-Aachen University in Germany. His research has been published in leading management, strategy... More About Author