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A Primer On Partial Least Squares Structural Equation Model (PLS-SEM), 2nd Edition

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ISBN: 9781483377445

AUTHOR: JOSEPH F. HAIR JR, G. TOMAS M. HULT, CHRISTIAN M. RINGLE, MARKO SARSTEDT

With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways. 


Chapter 1: An Introduction to Structural Equation Modeling

  • What Is Structural Equation Modeling?
  • Considerations in Using Structural Equation Modeling
  • Structural Equation Modeling With Partial Least Squares Path Modeling
  • PLS-SEM, CB-SEM, and Regressions Based on Sum Scores
  • Organization of Remaining Chapters

Chapter 2: Specifying the Path Model and Examining Data

  • Stage 1: Specifying the Structural Model
  • Stage 2: Specifying the Measurement Models
  • Stage 3: Data Collection and Examination
  • Case Study Illustration: Specifying the PLS-SEM Model
  • Path Model Creation Using the SmartPLS Software

Chapter 3: Path Model Estimation

  • Stage 4: Model Estimation and the PLS-SEM Algorithm
  • Case Study Illustration: PLS Path Model Estimation (Stage 4)

Chapter 4: Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models

  • Overview of Stage 5: Evaluation of Measurement Models
  • Stage 5a: Assessing Results of Reflective Measurement Models
  • Case Study Illustration—Reflective Measurement Models
  • Running the PLS-SEM Algorithm
  • Reflective Measurement Model Evaluation

Chapter 5: Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models

Stage 5b: Assessing Results of Formative Measurement Models

  • Bootstrapping Procedure
  • Bootstrap Confidence Intervals
  • Case Study Illustration—Evaluation of Formative Measurement Models

Chapter 6: Assessing PLS-SEM Results Part III: Evaluation of the Structural Model

  • Stage 6: Assessing PLS-SEM Structural Model Results
  • Case Study Illustration—How Are PLS-SEM Structural Model Results Reported?

Chapter 7: Mediator and Moderator Analysis

  • Mediation
  • Moderation

Chapter 8: Outlook on Advanced Methods

  • Importance-Performance Map Analysis
  • Hierarchical Component Models
  • Confirmatory Tetrad Analysis
  • Dealing With Observed and Unobserved Heterogeneity
  • Consistent Partial Least Squares

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