David W. Kaplan - Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences)

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Series Editor's Introduction

xi

Preface

xiii

Orientation

xv

Organization

xv

Acknowledgments

xvii

1. Structural Equation Modeling: An Introduction to Its History and Current Practice

1.1. Psychometric Origins of Structural Equation Modeling

1.2. Biometric and Econometric Origins of Structural Equation Modeling

1.3. Simultaneous Equation Modeling Among Latent Variables

1.4. Modern Developments

1.5. The "Conventional" Practice of Structural Equation Modeling

1.6. A Note on the Substantive Examples

2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables

2.1. A Substantive Example: Specification of Path Models

2.1.1. Recursive and Nonrecursive Models

2.1.2. Reduced Form and Covariance Structure Specifications

2.2. Identification of Path Models

2.2.1. Definition of Identification

2.2.2. Some Common Identification Rules

2.3. Estimation of Model Parameters

2.3.1. Maximum Likelihood

2.3.2. Generalized Least Squares

2.3.3. A Note on Scale Invariance and Scale Freeness

2.4. Model and Parameter Testing

2.5. Interpretation of Model Parameters

2.5.1. Effect Decomposition

2.5.2. Standardized Solutions

2.6. Conclusions

3. Factor Analysis

3.1. Model Specification and Assumptions

3.2. The Nature of Unique Variables

3.3. Identification and Rotation in the Unrestricted Factor Model

3.4. Statistical Estimation in the Unrestricted Model

3.4.1. Maximum Likelihood and Generalized Least Squares Methods

3.5. The Restricted Factor Model: Confirmatory Factor Analysis

3.5.1. Identification in the Restricted Model

3.5.2. Testing in the Restricted Model