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Preface | |
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About the Authors | |
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An Introduction to Structural Equation Modeling | |
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Learning Outcomes | |
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Chapter Preview | |
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What Is Structural Equation Modeling? | |
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Considerations in Using Structural Equation Modeling | |
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The Variate | |
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Measurement | |
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Measurement Scales | |
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Coding | |
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Data Distributions | |
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Structural Equation Modeling With Partial Least Squares Path Modeling | |
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Path Models With Latent Variables | |
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Measurement Theory | |
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Structural Theory | |
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PLS-SEM and CB-SEM | |
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Data Characteristics | |
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Model Characteristics | |
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Organization of Remaining Chapters | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Specifying the Path Model and Collecting Data | |
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Learning Outcomes | |
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Chapter Preview | |
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Specifying the Structural Model | |
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Mediation | |
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Moderation | |
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Higher-Order and Hierarchical Component Models | |
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Specifying the Measurement Models | |
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Reflective and Formative Measurement Models | |
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Single-Item Measures | |
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Data Collection and Examination | |
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Missing Data | |
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Suspicious Response Patterns | |
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Outliers | |
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Data Distribution | |
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Case Study Illustration: Specifying the PLS-SEM Model | |
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Structural Model Specification | |
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Measurement Model Specification | |
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Data Collection and Examination | |
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Path Model Creation Using the SmartPLS Software | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Path Model Estimation | |
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Learning Outcomes | |
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Chapter Preview | |
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Model Estimation and the PLS-SEM Algorithm | |
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How the Algorithm Works | |
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Statistical Properties | |
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Algorithmic Options and Parameter Settings to Run the Algorithm | |
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Results | |
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Case Study Illustration: PLS Path Model Estimation (Stage 4) | |
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Model Estimation | |
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Estimation Results | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Assessing PLS-SEM Results Part I: Evaluation of Reflective Measurement Models | |
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Learning Outcomes | |
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Chapter Preview | |
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Evaluation of Measurement Models | |
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Assessing Results of Reflective Measurement Models | |
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Internal Consistency Reliability | |
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Convergent Validity | |
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Discriminant Validity | |
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Case Study Illustration-Reflective Measurement Models | |
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Running the PLS-SEM Algorithm | |
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Reflective Measurement Model Evaluation | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Assessing PLS-SEM Results Part II: Evaluation of the Formative Measurement Models | |
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Learning Outcomes | |
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Chapter Preview | |
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Assessing Results of Formative Measurement Models | |
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Assess Convergent Validity | |
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Assess Formative Measurement Models for Collinearity Issues | |
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Assess the Significance and Relevance of the Formative Indicators | |
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Bootstrapping Procedure | |
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Concept and Justification | |
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Bootstrap Confidence Intervals | |
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Case Study Illustration-Evaluation of Formative Measurement Models | |
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Extending the Simple Path Model | |
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Reflective Measurement Model Evaluation | |
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Formative Measurement Model Evaluation | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Assessing PLS-SEM Results Part III: Evaluation of the Structural Model | |
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Learning Outcomes | |
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Chapter Preview | |
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Assessing PLS-SEM Structural Model Results | |
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Collincarity Assessment | |
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Structural Model Path Coefficients | |
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Coefficient of Determination (R<sup>2</sup> Value) | |
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Effect Size f<sup>2</sup> | |
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Blindfolding and Predictive Relevance Q<sup>2</sup> | |
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Heterogeneity | |
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Goodness-of-Fit Index | |
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Case Study Illustration: How Are PLS-SEM Structural Model Results Reported? | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Advanced Topics in PLS-SEM | |
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Learning Outcomes | |
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Chapter Preview | |
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Importance-Performance Matrix Analysis | |
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Method | |
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Case Study Illustration | |
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Mediator Analysis | |
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Method | |
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Case Study Illustration | |
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Higher-Order Models/Hierarchical Component Models | |
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Method | |
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Case Study Illustration | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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Modeling Heterogeneous Data | |
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Learning Outcomes | |
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Chapter Preview | |
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Modeling Categorical Moderator Effects | |
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Introduction | |
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The Parametric Approach to PLS-MGA | |
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Measurement Invariance | |
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Case Study Illustration | |
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Modeling Unobserved Heterogeneity | |
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Continuous Moderator Effects | |
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Method | |
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Modeling Continuous Moderating Effects | |
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Three-Way Interactions | |
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Creating the Interaction Term | |
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Case Study Illustration | |
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Summary | |
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Review Questions | |
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Critical Thinking Questions | |
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Key Terms | |
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Suggested Readings | |
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References | |
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Author Index | |
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Subject Index | |