Introduction to Measurement Models using R

This workshop will offer an introduction to measurement models using R. Participants will be introduced to various concepts such as factor analysis, principal components analysis, dimension reduction, and Bayesian latent variable modeling. We will briefly discuss each of these concepts, but most of our effort will be spent learning how to apply these concepts in the R interface. This is an intermediate workshop appropriate for those with a basic understanding of R. Example code and slides will be provided.

Instructor: Nathan Timbs