| 내용 |
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.
|
