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Advanced Issues in Partial Least Squares Structural Equation Modeling
- Joseph F. Hair, Jr. - University of South Alabama, USA
- Marko Sarstedt - Ludwig-Maximilians-University, Munich, Germany, Babes-Bolyai University, Romania
- Christian M. Ringle - Hamburg University of Technology, Germany
- Siegfried P. Gudergan - James Cook University, Australia, Aalto University, Finland, Vienna University of Economics and Business, Austria
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 2: Advanced Modeling
Chapter 3: Advanced Model Assessment
Chapter 4: Modeling Observed Heterogeneity
Chapter 5: Modeling Unobserved Heterogeneity
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!
Visit the companion website to download data sets and other materials to supplement your studies in PLS-SEM!
