Structural equations with latent variables /
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on o...
Main Author: | |
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Format: | Book |
Language: | English Spanish |
Published: |
New York :
J. Wiley,
1989
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Series: | Wiley series in probability and mathematical statistics
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Subjects: | |
Online Access: | Artículos relacionados |
- 1. Introduction
- 2. Model notation, covariances, and path analysis
- 3. Causality and causal models
- 4. Structural equation models with observed variables
- 5. The consequences of measurement error
- 6. Measurement models: the relation between latent and observed variables
- 7. Confirmatory factor analysis
- 8. The general model, Part I: latent variable and measurement models combined
- 9. The general model, Part II: extensions
- Appendix A: matrix algebra review
- B: Asymptotic distribution theory.