Latent Class and Latent Transition Analysis with applications in the social, behavioral, and health sciences

Welcome!

cover of the book Latent Class and Latent Transition AnalysisWe hope that you find the information here to be a helpful supplement to the book, particularly as you begin to apply LCA and LTA in your research.

The Methodology Center at Penn State maintains a webpage containing information for getting started with LCA and LTA. Note that answers to a variety of frequently asked questions about LCA, LTA, and the SAS software we distribute are available on our LCA FAQs page.

About the Book

On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals’ subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data.

Read more about the book.

 

Free Software & SAS Syntax

PROC LCA and PROC LTA are SAS procedures for latent class analysis (LCA) and latent transition analysis (LTA) developed by The Methodology Center at The Pennsylvania State University. These add-on procedures are available for download free of charge.

The code used to run the models described in the book is also available so that readers can learn by running the models.

Read more about our software.
Open the SAS syntax.