Structural Equation Modeling
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
- 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.