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Advanced Issues in Partial Least Squares Structural Equation Modeling
Beschreibung:
A practical and applied text on PLS-SEM that combines simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book.
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 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
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