In latent class analysis (LCA), we use a categorical latent variable to represent unobserved groups in the population that we call classes. We are interested in identifying and understanding these classes
This is an introduction to Stata’s LCA features. In this webinar, we will provide a brief introduction to LCA and demonstrate analyses using Stata’s gsem command. We will use gsem‘s postestimation features to report class-specific marginal means, estimate class membership probabilities, and calculate goodness-of-fit statistics. We will show how to constrain and relax parameters across classes, and how to compare models with different numbers of classes.
How to join
The webinar is free, but you must register to attend. Registrations are limited so register soon.
Registration deadline: 27 April 2025. Registration
