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Advanced Issues in Partial Least Squares Structural Equation Modeling
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Advanced Issues in Partial Least Squares Structural Equation Modeling



April 2017 | 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


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Joseph F. Hair, Jr.

Joe F. Hair, Jr. is Professor of Marketing, DBA Director and the Cleverdon Chair of Business in the Mitchell College of Business, University of South Alabama. He previously was Senior Scholar, DBA Program, Coles College of Business, Kennesaw State University, held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 60 books, including Multivariate Data Analysis (7th edition, 2010) (cited 140,000+ times), MKTG (10th  edition, 2016), Essentials of Business Research Methods (2016), and Essentials of... More About Author

Marko Sarstedt

Marko Sarstedt is Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and Conjoint Professor to the Faculty of Business and Law at the University of Newcastle (Australia). He previously was an Assistant Professor of Quantitative Methods in Marketing and Management at the Ludwig-Maximilians-University Munich (Germany). His main research is in the application and advancement of structural equation modeling methods to further the understanding of consumer behavior and to improve marketing decision-making. His research has been published in journals such as Journal of Marketing Research, Journal of the... More About Author

Christian M. Ringle

Christian M. Ringle is a Chaired Professor of Management at the Hamburg University of Technology (Germany) and Conjoint Professor at the Faculty of Business Law at the University of Newcastle (Australia). He holds a master’s degree in business administration from the University of Kansas and received his doctor of philosophy from the University of Hamburg (Germany). His widely published research addresses the management of organizations, strategic and human resource management, marketing, and quantitative methods for business and market research. He is cofounder of SmartPLS (http://www.smartpls.com), a software tool with a graphical user... More About Author

Siegfried (Siggi) P. Gudergan

Siegfried P. Gudergan is a Chaired Professor of Strategy at Newcastle Business School within the University of Newcastle (Australia).  He previously was Head of School and Professor of Marketing at UTS Business School within the University of Technology, Sydney (Australia). He holds a PhD from the Australian Graduate School of Management that was awarded by both the University of Sydney and the University of New South Wales. His research focuses on managerial decision-making and is applied to strategic management issues. Some of his work that concerns PLS-SEM has appeared in journals such the Journal of the Academy of Marketing... More About Author

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ISBN: 9781483377391
$39.00