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- 468 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Linear Causal Modeling with Structural Equations
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About This Book
Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models. The author discusses the history and philosophy of causality and its place in science and presents graph theory as a tool for the design and analysis of causal models. He explains how the algorithms in SEM are derived and how they work, covers various indices and tests for evaluating the fit of structural equation models to data, and explores recent research in graph theory, path tracing rules, and model evaluation.
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Yes, you can access Linear Causal Modeling with Structural Equations by Stanley A. Mulaik in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front cover
- Contents
- Preface
- Acknowledgments
- Author
- Chapter 1. Introduction
- Chapter 2. Mathematical Foundations for Structural Equation Modeling
- Chapter 3. Causation
- Chapter 4. Graph Theory for Causal Modeling
- Chapter 5. Structural Equation Models
- Chapter 6. Identification
- Chapter 7. Estimation of Parameters
- Chapter 8. Designing SEM Studies
- Chapter 9. Confirmatory Factor Analysis
- Chapter 10. Equivalent Models
- Chapter 11. Instumental Variables
- Chapter 12. Multilevel Models
- Chapter 13. Longitudinal Models
- Chapter 14. Nonrecursive Models
- Chapter 15. Model Evaluation
- Chapter 16. Polychoric Correlation and Polyserial Correlation
- References
- Index
- Back cover