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A workshop on latent variables models including factor analysis, PCA, SEM, etc.

Latent Variable Models Workshop 2019

Notebook and data for a workshop demonstrating latent variable models. For more details see the main document: https://m-clark.github.io/sem/latent-variables.html and https://m-clark.github.io/docs/FA_notes.html

For those in the workshop, after downloading this repo and unzipping the files to an appropriate location on your own machine, open the RStudio project inside and, once your project is open, open each of the notebook files in the notebooks folder. They contain condensed code and exercises related to the main document linked above.

The order of the notebooks. Note that code in subsequent files assumes that previous files have had all the code run and those objects are in the current R environment. In other words, only the first file should be considered standalone.

  • Introduction
  • Principal Components Analysis
  • Factor Analysis I
  • Factor Analysis II
  • Scale Reliability
  • SEM
  • Generalization