Mixture Modeling and Latent Class Analysis

$475.00$595.00

December 14-16, 2020
Online Webinar via Zoom
Instructor: 
Dan Bauer
Software Demonstrations: R and Mplus

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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.

Instructors

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 teaching awards from the University of North Carolina and from the American Psychological Association. Endeavoring to make advanced statistical techniques more accessible, Dan has spent the last 15 years developing and teaching workshops on a variety of topics in both the United States and abroad, including multilevel modeling, mixture modeling, longitudinal data analysis, structural equation modeling, latent curve analysis, missing data analysis, measurement, and integrative data analysis. His research interests lie at the intersection of quantitative and developmental psychology, particularly the development of problem and health-related behaviors over childhood and adolescence. He has published over 65 scientific papers, served as Associate Editor for Psychological Methods, currently serves on the editorial boards of several journals, and has reviewed grants for the National Science Foundation, National Institutes of Health, and the Institute of Educational Sciences. He received an early career award from the American Psychological Association in 2009. For more details, see his academic web page.

Workshop Details

Reviews

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 2020 online offering of Mixture Modeling and Latent Class Analysis workshop:

Great examples provided throughout the course topics. It was a good balance background, theory and application.

I really like the fact the course note comes with statistical program codes and the instructors walked us through the codes during the demonstration session. It really helped me understand the concept more practically.

Clearly presenters are extremely knowledgeable and the notes they provide are amazing.

The instructors did an awesome job in balancing between the methodological details and empirical applications, which is usually hard to do but they did an excellent job. Thank you!

I have taken several short courses, but this one is the best that I have ever taken!

I was able to participate in this course because of online delivery. It is very expensive for many to cover travel, accommodation and registration costs. So we look forward to more online courses in coming years.

Thank you very much for this workshop! I hope to use mixture modeling for my thesis work, specifically LCA. Though I did some reading beforehand, this workshop was incredibly helpful.

The materials are very well-organized, easy to follow, and well-balanced in theory and practice. The Q&As were amazing and so helpful!

The handouts, especially the software ones, were amazingly detailed and much appreciated.

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