✅ DANH MỤC
【Sách in SmartPLS】Advanced Issues in PLS-SEM
700.000₫
Tác giả
Hair et al.
Năm xuất bản
2017
Danh mục
Sách SmartPLS
Phiên bản
SmartPLS 3.x
The book “Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM)” by Hair, Sarstedt, Ringle, and Gudergan explains advanced PLS-SEM analyses and includes SmartPLS case studies; 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.
The book “Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM)” by Hair, Sarstedt, Ringle, and Gudergan explains advanced PLS-SEM analyses and includes SmartPLS case studies. We’re happy to announce the release of the book Advanced Issues in Partial Least Squares Structural Equation Modeling. Written by Joe F. Hair (University of South Alabama), Marko Sarstedt (Otto-von-Guericke-University Magdeburg), Christian M. Ringle (TU Hamburg-Harburg) and Siegfried P. Gudergan (University of Newcastle), 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.
DESCRIPTION
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. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, and Siegfried P. Gudergan provide a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 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.
CONTENTS
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
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.
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https://us.sagepub.com/en-us/nam/advanced-issues-in-partial-least-squares-structural-equation-modeling/book243803
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