Table of Contents

Chapter 1: An Introduction to Structural Equation Modeling

  • Chapter Preview
  • What Is Structural Equation Modeling?
  • Considerations in Using Structural Equation Modeling
    • Composite Variables
    • Measurement
    • Measurement Scales
    • Coding
    • Data Distributions
  • Structural Equation Modeling With Partial Least Squares Path Modeling
    • Path Models With Latent Variables
    • Measurement Theory
    • Structural Theory
  • PLS-SEM, CB-SEM, and Regressions Based on Sum Scores
    • Data Characteristics
    • Model Characteristics
  • Organization of Remaining Chapters
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

Chapter 2: Specifying the Path Model and Examining Data

  • Chapter Preview
  • Stage 1: Specifying the Structural Model
    • Mediation
    • Moderation
    • Higher-Order and Hierarchical Component Models
  • Stage 2: Specifying the Measurement Models
    • Reflective and Formative Measurement Models
    • Single-Item Measures and Sum Scores
  • Stage 3: Data Collection and Examination
    • Missing Data
    • Suspicious Response Patterns
    • Outliers
    • Data Distribution
  • Case Study Illustration: Specifying the PLS-SEM Model
    • Application of Stage 1: Structural Model Specification
    • Application of Stage 2: Measurement Model Specification
    • Application of Stage 3: Data Collection and Examination
  • Path Model Creation Using the SmartPLS Software
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

Chapter 3: Path Model Estimation

  • Chapter Preview
  • Stage 4: Model Estimation and the PLS-SEM Algorithm
    • How the Algorithm Works
    • Statistical Properties
    • Algorithmic Options and Parameter Settings to Run the Algorithm
    • Results
  • Case Study Illustration: PLS Path Model Estimation (Stage 4)
    • Model Estimation
    • Estimation Results
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

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

  • Chapter Preview
  • Overview of Stage 5: Evaluation of Measurement Models
  • Stage 5a: Assessing Results of Reflective Measurement Models
  • Internal Consistency Reliability
  • Convergent Validity
  • Discriminant Validity
  • Case Study Illustration—Reflective Measurement Models
  • Running the PLS-SEM Algorithm
  • Reflective Measurement Model Evaluation
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

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

  • Chapter Preview
  • Stage 5b: Assessing Results of Formative Measurement Models
    • Step 1: Assess Convergent Validity
    • Step 2: Assess Formative Measurement Models for Collinearity Issues
    • Step 3: Assess the Significance and Relevance of the Formative Indicators
    • Bootstrapping Procedure
    • Bootstrap Confidence Intervals
  • Case Study Illustration—Evaluation of Formative Measurement Models
    • Extending the Simple Path Model
    • Reflective Measurement Model Evaluation
    • Formative Measurement Model Evaluation
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

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

  • Chapter Preview
  • Stage 6: Assessing PLS-SEM Structural Model Results
    • Step 1: Collinearity Assessment
    • Step 2: Structural Model Path Coefficients
    • Step 3: Coefficient of Determination (R2 Value)
    • Step 4: Effect Size f2
    • Step 5: Blindfolding and Predictive Relevance Q2
    • Step 6: Effect Size q2
  • Case Study Illustration—How Are PLS-SEM Structural Model Results Reported?
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

Chapter 7: Mediator and Moderator Analysis

  • Chapter Preview
  • Mediation
    • Introduction
    • Types of Mediation Effects
    • Testing Mediating Effects
    • Measurement Model Evaluation in Mediation Analysis
    • Multiple Mediation
    • Case Study Illustration
  • Moderation
    • Introduction
    • Types of Moderator Variables
    • Modeling Moderating Effects
    • Creating the Interaction Term
    • Results Interpretation
    • Moderated Mediation and Mediated Moderation
    • Case Study Illustration
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings

 

Chapter 8: Outlook on Advanced Methods

  • Chapter Preview
  • Importance-Performance Map Analysis
  • Hierarchical Component Models
  • Confirmatory Tetrad Analysis
  • Dealing With Observed and Unobserved Heterogeneity
    • Multigroup Analysis
    • Uncovering Unobserved Heterogeneity
  • Measurement Model Invariance
  • Consistent Partial Least Squares
  • Summary
  • Review Questions
  • Critical Thinking Questions
  • Key Terms
  • Suggested Readings