Introduction to Longitudinal Structural Equation Modeling
Livestream: December 13-15, 2021
Replay Access: 6 months from end of workshop
Instructors: Dan Bauer & Patrick Curran
Introduction to Longitudinal Structural Equation Modeling is a three-day workshop focused on the application and interpretation of structural equation models 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 structural equation models available for analyzing repeated measures data but the latent curve model is by far the most widely applied and will be the primary focus of this class. Topics include longitudinal designs, linear and non-linear latent curve models, predictors of growth, multivariate latent curve models, and observed and latent multiple group growth models (e.g., 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 additional material on topics including longitudinal measurement models, autoregressive cross-lag panel models, and longitudinal SEM with binary/ordinal outcomes. 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 2022. 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
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 offering of Introduction to Longitudinal SEM in December, 2020:
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!
December 6-7, 2021
Livestream & Replay Access
Instructor: Greg Guest
December 8-10, 2021
Livestream & Replay Access
Instructor: Dan Bauer & Patrick Curran