A tutorial on the Bayesian approach for analyzing structural equation models

In this paper, we provide a tutorial exposition on the Bayesian approach in analyzing structural equation models (SEMs). SEMs, which can be regarded as regression models with observed and latent variables, have been widely applied to substantive research. However, the classical methods and most commercial software in this area are based on the covariance structure approach, which would encounter serious difficulties when dealing with complicated...