Book contents
- Elements of Structural Equation Models (SEMs)
- Elements of Structural Equation Models (SEMs)
- Copyright page
- Dedication
- Contents
- List of Acronyms
- Preface
- 1 Overview
- 2 Building Blocks and Tools
- 3 Multiple Regression as a Structural Equation Model
- 4 Simultaneous Equation Models
- 5 Confirmatory Factor Analysis
- 6 Latent Variable Structural Equation Models
- 7 Structural Equation Models with Categorical Indicators and Outcomes
- Afterword
- References
- Index
5 - Confirmatory Factor Analysis
Published online by Cambridge University Press: 05 February 2026
Book contents
- Elements of Structural Equation Models (SEMs)
- Elements of Structural Equation Models (SEMs)
- Copyright page
- Dedication
- Contents
- List of Acronyms
- Preface
- 1 Overview
- 2 Building Blocks and Tools
- 3 Multiple Regression as a Structural Equation Model
- 4 Simultaneous Equation Models
- 5 Confirmatory Factor Analysis
- 6 Latent Variable Structural Equation Models
- 7 Structural Equation Models with Categorical Indicators and Outcomes
- Afterword
- References
- Index
Summary
Measurement models are the focus of Chapter 5. It treats the nature of concepts, theoretical definitions, and latent variables. Chapter 5 explains model specification, implied moments, model identification, model estimation, and model interpretation, fit, and diagnostics in confirmatory factor analysis (CFA) models. Factor score prediction and respecification of models are two other topics it covers.
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- Information
- Elements of Structural Equation Models (SEMs) , pp. 297 - 410Publisher: Cambridge University PressPrint publication year: 2026
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