A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
eBook - ePub

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

About this book

The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.

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Yes, you can access A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair, Jr.,G. Tomas M. Hult,Christian M. Ringle,Marko Sarstedt in PDF and/or ePUB format, as well as other popular books in Social Sciences & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Brief Contents
  7. Detailed Contents
  8. Preface
  9. About the Authors
  10. 1 An Introduction to Structural Equation Modeling
  11. 2 Specifying the Path Model and Examining Data
  12. 3 Path Model Estimation
  13. 4 Assessing PLS-SEM Results—Part I Evaluation of the Reflective Measurement Models
  14. 5 Assessing PLS-SEM Results—Part II Evaluation of the Formative Measurement Models
  15. 6 Assessing PLS-SEM Results—Part III Evaluation of the Structural Model
  16. 7 Mediator and Moderator Analysis
  17. 8 Outlook on Advanced Methods
  18. Glossary
  19. References
  20. Index