<strong>A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)</strong>by Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt is a practical guide that provides concise instructions on how to use partial least squares structural equation modeling (PLS-SEM),
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
β Scribed by Joseph F. Hair, Jr.; G. Tomas M. Hult; Christian M. Ringle; Marko Sarstedt
- Publisher
- SAGE Publications
- Year
- 2021
- Tongue
- English
- Leaves
- 385
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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. The authors use their teaching experience to communicate the fundamentals of PLS-SEM with limited emphasis on equations and and symbols, relying on straightforward language instead.
β¦ Table of Contents
A PRIMER ON PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM) - FRONT COVER
A PRIMER ON PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)
COPYRIGHT
BRIEF CONTENTS
DETAILED CONTENTS
PREFACE
ABOUT THE AUTHORS
CHAPTER 1 - AN INTRODUCTION TO STRUCTURAL EQUATION MODELING
CHAPTER 2 - SPECIFYING THE PATH MODEL AND EXAMINING DATA
CHAPTER 3 - PATH MODEL ESTIMATION
CHAPTER 4 - SSESSING PLS-SEM RESULTSβPART I: EVALUATION OF THE REFLECTIVE MEASUREMENT MODELS
CHAPTER 5 - ASSESSING PLS-SEM RESULTSβPART II: EVALUATION OF THE FORMATIVE MEASUREMENT MODELS
CHAPTER 6 - ASSESSING PLS-SEM RESULTSβPART III: EVALUATION OF THE STRUCTURAL MODEL
CHAPTER 7 - MEDIATOR AND MODERATOR ANALYSIS
CHAPTER 8 - OUTLOOK ON ADVANCED METHODS
GLOSSARY
REFERENCES
INDEX
π SIMILAR VOLUMES
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the methodβs