Linear Causal Modeling with Structural Equations
eBook - PDF

Linear Causal Modeling with Structural Equations

  1. 470 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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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Information

Publisher
Chapman and Hall/CRC
Year
2009
Print ISBN
9781439800386
eBook ISBN
9781439800393
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front cover
  2. Contents
  3. Preface
  4. Acknowledgments
  5. Author
  6. Chapter 1. Introduction
  7. Chapter 2. Mathematical Foundations for Structural Equation Modeling
  8. Chapter 3. Causation
  9. Chapter 4. Graph Theory for Causal Modeling
  10. Chapter 5. Structural Equation Models
  11. Chapter 6. Identification
  12. Chapter 7. Estimation of Parameters
  13. Chapter 8. Designing SEM Studies
  14. Chapter 9. Confirmatory Factor Analysis
  15. Chapter 10. Equivalent Models
  16. Chapter 11. Instumental Variables
  17. Chapter 12. Multilevel Models
  18. Chapter 13. Longitudinal Models
  19. Chapter 14. Nonrecursive Models
  20. Chapter 15. Model Evaluation
  21. Chapter 16. Polychoric Correlation and Polyserial Correlation
  22. References
  23. Index
  24. Back cover

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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.