Latent Curve Modeling

Length: Three Days
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Software Demonstrations: Mplus, R, and Stata
Evergreen Content: Materials Continually Updated

Class Overview Video

Student: $594
Professional: $774

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Category: Asynchronous, Workshops

Latent Curve Modeling is a three-day workshop focused on the application and interpretation of latent curve models (LCMs) fitted to repeated measures data within a structural equation modeling (SEM) framework. 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 common longitudinal designs, linear and non-linear latent curve models, predictors of growth, multivariate latent curve models, and a survey of extensions and future directions.


1:41 Class Content / 9:39 Materials Provided / 12:16 Learning Objectives

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 multiple 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. He is dedicated to teaching and disseminating advanced quantitative methods and has won multiple awards for teaching excellence. Read More

Workshop Details

Reviews

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 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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