We’re happy to announce the release of the second edition of Advanced Issues in Partial Least Squares Structural Equation Modeling. Written by Joe F. Hair (University of South Alabama), Marko Sarstedt (Ludwig-Maximilians-University Munich), Christian M. Ringle (TU Hamburg-Harburg) and Siegfried P. Gudergan (James Cook University), 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 4 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.
Please visit the book's website at Sage for further information, chapter previews, and order options.
Brief Table of Contents
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
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