Latent Curve Modeling

Livestream: January 4-6, 2023
Replay Access: 1 year from end of workshop
Instructors: Dan Bauer & Patrick Curran

Student: $475
Professional: $595

Category: Livestream, Workshops

Latent Curve Modeling is a three-day workshop focused on the application and interpretation of the structural equation model (SEM) based latent curve model (LCM) fitted to repeated measures data. The analysis of longitudinal data (i.e., the repeated measurement of the same cases over time) is fundamental in nearly all areas of social and behavioral science research. There are many SEMs available for analyzing repeated measures data, but the latent curve model is by far the most widely applied and is the focus of our workshop. Topics covered include longitudinal designs, linear and non-linear latent curve models, predictors of growth, and multivariate latent curve models. The course concludes with a brief survey of advanced topics, including LCMs for discrete repeated measures, multiple groups LCMs, and growth mixture models.

Note: This workshop is a shorter version of the 5-day Longitudinal Structural Equation Modeling workshop that we conduct each May/June. The longer workshop includes more extensive coverage of discrete outcomes, multiple groups LCMs and growth mixture models as well as additional material on longitudinal measurement models and autoregressive cross-lag panel models. Participants seeking in depth treatment of these more advanced 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. The 3-day workshop is intended to be introductory.


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. Read More

Patrick J. Curran, Ph.D.

Patrick Curran is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won awards in recognition of teaching excellence. 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 this workshop:

The pedagogical approach is extremely successful. The humor and mnemonics make learning fun. The explanation of topics ranging from equations and the goings on "under the hood" to examples and demos makes it feel like I've learned a lot. 

The complementary data + syntax that allows us to replicate the results presented during the lecture is extremely helpful and is one of the key strengths of this workshop.

Dan and Patrick are SO fun and entertaining--they also explain things very clearly.   

This is my third C&B workshop (MLM in person, SEM last summer, and LSEM) and I've really enjoyed all of them. I especially appreciate the attention to the algebra behind models--they've help me understand other/new-to-me approaches in method papers.

Having the materials and recordings available after the workshops is so wonderfully helpful - I plan to watch them multiple times over to more fully digest the material. Plus, it gives a chance for me to watch both the Mplus and R demonstrations.

Dan and Patrick have a great way of quickly and concisely explaining complex concepts and distilling them down effectively. The workshop flowed logically, and software demonstrations helped support material covered earlier in the day.

Thank you so much for putting on these workshops, they are so informative, clear, and helpful!  

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