Mixture Modeling and Latent Class Analysis

Livestream: December 12-14, 2022
Replay Access: 1 year from end of workshop
Instructor: Dan Bauer

Student: $475
Professional: $595

Category: Livestream, Workshops

Mixture Modeling and Latent Class Analysis is a three-day workshop focused on the application and interpretation of statistical techniques designed to identify subgroups within a heterogeneous population, including latent class analysis, latent profile analysis, and other finite mixture models. In practice, these methods are often implemented with the goal of identifying theoretically distinct subgroups (e.g., people with a liability for schizophrenia versus those without). Alternatively, they can be used as a data reduction device, to summarize prototypical patterns when working with complex multivariate data (e.g., market segmentation in consumer research). In recent years, an increasing focus has been on multivariate and longitudinal applications (e.g., growth mixture modeling). In this workshop we provide a comprehensive exploration of the foundations and uses of latent class/profile analysis and finite mixture models, with topics ranging from introductory to advanced, and applications to both single-time point and longitudinal data.

Note: This workshop is an abbreviated version of the 5-day Latent Class/Cluster Analysis and Mixture Modeling workshop that we offer each May/June. The longer workshop includes additional coverage of heuristic cluster analysis algorithms (e.g., Ward's method, K-Means), whereas the 3-day workshop focuses entirely on latent class / mixture models (i.e., model-based clustering). Some advanced topics in mixture analysis are also included in the longer workshop (e.g., mixtures of t and skew-normal distributions, latent class moderation models). Participants seeking coverage of these additional topics may prefer to enroll in the 5-day version of the workshop, with asynchronous access available now and a new Livestream planned for Spring 2023.


Daniel J. Bauer, Ph.D.

Dan Bauer is a Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina. He teaches primarily graduate-level courses in statistical methods, for which he has won multiple teaching awards. Read More

Workshop Details


In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from our prior online offerings of Mixture Modeling and Latent Class Analysis:

Dan is an exceptional teacher. He manages to make complex material accessible to all, while still providing sufficient detail to understand the "mechanics" of the models.  

Despite the common challenges of the online format, it was a very engaging course, easily to follow and very practice-oriented to provide the required skills to implement the analyses independently afterwards. I would highly recommend this course!

The lecture approach of presenting material followed by examples/demonstrations was helpful, as was having the live Q&A going simultaneously to allow for questions as the material was presented.     

The topics are explained very thoroughly, with historical context, multiple examples, pros and cons of the approaches, and strategies to address potential problems  

Dan was very knowledgeable, I feel like I've learned a lot! The examples and demonstrations were helpful. Nice to have demonstrations at the end of each day in both Mplus and R. Helpful to have the materials available for review on the website   

I really enjoyed the pace of the course, the fact that we are able to re-watch the videos, and the demonstrations... I also appreciate the incredibly helpful details provided in the supporting materials.

Dr. Bauer has an incredible ability of breaking down difficult concepts.

I love in person trainings, but travel can be hard, and expensive (especially as a grad student). The online format is so accessible, plus having access to recordings! And I really feel like y'all do an excellent job of making the sessions engaging.

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