Welcome to the Course
Course Author
This course was created in 2021 by Jay Magidson, President of Statistical Innovations Inc.
Course Text
The course is structured into three sessions, each containing lessons based on the Course Text. A PDF version of the Course Text can be downloaded from the Materials section.
Data Sets
The data sets used in this course come from the demo data sets included with the LatentGOLD program.
Overview
Latent class modeling is a statistical technique for uncovering hidden (latent) groups within data. These latent classes represent clusters of similar cases, such as customer segments, groups of patients with comparable medical diagnoses, or types of survey respondents.
This course introduces Latent Class (LC) analysis as a probability model and demonstrates applications using LatentGOLD. Early lessons focus on model fitting strategies and interpreting output, while later lessons address advanced topics such as model identification, LC models for longitudinal data, handling sparse data, and using bivariate residuals.
The Course Text can be accessed here: Course Text