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eBook - ePub
Linear Causal Modeling with Structural Equations
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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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Linear Causal Modeling with Structural Equations by Stanley A. Mulaik in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.
Information
Topic
MathematicsIndex
MathematicsTable of contents
- Cover
- Half Title
- Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- Author
- 1: Introduction
- 2: Mathematical Foundations for Structural Equation Modeling
- 3: Causation
- 4: Graph Theory for Causal Modeling
- 5: Structural Equation Models
- 6: Identification
- 7: Estimation of Parameters
- 8: Designing SEM Studies
- 9: Confirmatory Factor Analysis
- 10: Equivalent Models
- 11: Instrumental Variables
- 12: Multilevel Models
- 13: Longitudinal Models
- 14: Nonrecursive Models
- 15: Model Evaluation
- 16: Polychoric Correlation and Polyserial Correlation
- References
- Index