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Confirmatory Factor Analysis
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Comment from the Stata technical group
Confirmatory Factor Analysis is an accessible, well-written introduction to confirmatory factor analysis (CFA) containing many technical and practical explanations and recommendations. The majority of this book covers basic concepts of CFA and structural equation modeling in general, including model specification, identification, estimation, and evaluation. Analysis examples are included at every step, and more technical topics are covered briefly but satisfactorily as needed along the way. Two more advanced topics, measurement invariance and CFA with categorical indicators, are each dedicated one chapter that provides overviews of the most important methods in these areas. Each chapter ends with a summary of well-crafted recommendations for further reading on that chapter's topic.
The book's companion website provides annotated code in Stata, Mplus, and R, as well as the datasets needed to reproduce the examples in the book. These resources make it easy for readers to learn not only the theory behind these models but also the practical aspects of fitting the models and interpreting the results.
Table of contents
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Series Editor's Introduction
About the Authors
1.1 Latent and Observed Variables
1.2 Reliability and Validity
1.3 Confirmatory Factor Analysis
1.4 Statistical Software and Code
1.5 Outline of the Book
1.6 Further Reading
2. Model Specification
2.1 Forms of CFA Measurement Models
2.3 Further Reading
3. Identification and Estimation
3.4 Further Reading
4. Model Evaluation and Respecification
4.1 Model Evaluation
4.2 Comparing Models
4.3 Model Respecification
4.5 Further Reading
5. Measurement Invariance
5.1 Multiple-Groups CFA
5.2 MIMIC Models
5.4 Further Reading
6. Categorical Indicators
6.1 Conceptualization of Ordinal Measures
6.3 Model Fit and Parameter Interpretation
6.4 Comparison With IRT Models
6.6 Further Reading
7.1 Advanced Topics in CFA
7.2 Moving Beyond CFA
8. Appendix: Reliability of Scales
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Last updated: 16 November 2022
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