In this chapter we continue with our presentation and discussion of SEM model applications. Specically, we present an example where latent variables are predicted by observed variables (MIMIC model); an example where continuous and categorical variables are included in the model (mixture model); and nally an example where nested design data occur (multilevel model). All three of these SEM applications are unique and are not possible using traditional statistics (analysis of variance, etc.).