Basic and advanced structural equation modeling : with applications in the medical and behavioral sciences

1. Introduction.
2. Basic concepts and applications of structural equation models.
3. Bayesian methods for estimating structural equation models.
4. Bayesian model comparison and model checking.
5. Practical structural equation models.
6. Structural equation models with hierarchical and multisample data.
7. Mixture structural equation models.
8. Structural equation modeling for latent curve models.
9. Longitudinal structural equation models.
10. Semiparametric structural equation models with continuous variables.
11. Structural equation models with mixed continuous and unordered categorical variables.
12. Structural equation models with nonparametric structural equations.
13. Transformation structural equation models.
14. Conclusion.
"This book introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject's recent advances"--