This document attempts to introduce structural equation modeling from a broader context than what is typically presented in social, educational, and other sciences. The content currently covers the following ground:

• Graphical models
• Latent variable models
• SEM
• Growth curve models
• Mixture models
• Item response theory
• Topic modeling
• Bayesian non-parametric models
• An overview of other miscellaneous models (e.g. recommender systems)

The first few chapters also serve as the basis of a workshop, and include a brief introduction to R that will be enough for one to follow along with the tools used (e.g. psych, lavaan, and mediation packages).

The actual document can be found at https://m-clark.github.io/sem.