◽️ <- ⚪️ Structural Equation Modeling from a broader context.
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README.md

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
  • 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.