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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



© 2018 | 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!
Key features
KEY FEATURES: 
  • Coverage of advanced concepts demonstrates the PLS-SEM method as a viable alternative to the more popular CB-SEM approach and clearly shows students and researchers how they can apply the techniques to their research problems and accurately interpret the results.
  • Limited use of formulas, equations, Greek symbols, and similar notations makes it easy to understand concepts.
  • Rules of Thumb in every chapter provide practical guidelines on best practices in applying and interpreting PLS-SEM and in preparing manuscripts for publication in peer-reviewed journals.
  • The same case and database is used throughout the book to facilitate consistency in the issues associated with the case.
  • Free online resources include downloadable data sets and SmartPLS projects to practice techniques covered.


Sample Materials & Chapters

Chapter 1

Chapter 4


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