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Latent Growth Curve Modeling - Online Course

A 4-Day Livestream Seminar Taught by

Aidan Wright
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time) Tuesday-Friday
1:30pm-3:30pm Tuesday, Wednesday, Friday

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Behavioral, health, and natural scientists are often interested in modeling trajectories of change. These trajectories of change may represent aging, learning, development, or degeneration, among other constructs. Generically these processes can be referred to as growth. Latent Growth Curve Models (LGMs) in a structural equation modeling framework offer a powerful and highly flexible approach to studying normative (i.e., average) change and individual heterogeneity (i.e., individual differences) in that change.

The change process can be linear or non-linear, including accelerating, decelerating, and discrete/abrupt change. Because LGMs are special cases of structural equation models (SEMs), they offer many attractive features, including the ability to study multivariate change, account for measurement error, study predictors of trajectories, use trajectories as predictors of other outcomes, as well as adjust for time-varying covariates.

This seminar offers an in-depth treatment of LGMs, starting with basic two-wave models of change and then building up to complex multivariate models of growth in two or more processes simultaneously. Data for planned exercises will be provided, but you are encouraged to bring your own data for hands-on exercises and discussions.

Starting June 6, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions. Live captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.


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“I liked how well organized and understandable all of the materials and topics were..."

“I liked how well organized and understandable all of the materials and topics were, even for a beginner to SEM in general and LGCM in particular. I also enjoyed the encouragement of active participation from classmates.” 

Connor Lawhead

Yale University

"The design and presentation of this course was excellent..."

“The subject matter is of special interest to me because it was recommended by an instructor of another course I took with Statistical Horizons a few years ago. The design and presentation of this course was excellent and quite effective in helping participants understand and learn the material.” 

Joseph L Staats

University of Minnesota Duluth

"The selection of topics and pace was very good..."

“Dr. Wright has a very listenable and engaging style. The selection of topics and pace was very good for someone with minimal prior experience with LGM methods.” 

Greg Petroski

University of Missouri

“I thoroughly enjoyed the practical emphasis..."

“I thoroughly enjoyed the practical emphasis, especially relating models to Mplus (in my case) code. I also appreciated Aidan’s careful handling of questions.” 

Mark Orkin

University of the Witwatersrand

“I loved the level of detail...” 

“I loved the level of detail and how easy the instructor made the equations look. 

Ihoghosa Iyamu

University of British Columbia

“Aidan was incredibly generous with his time and knowledge."

“Aidan was incredibly generous with his time and knowledge. I liked that he was willing to answer questions along the way, even if they were not directly related to the topic at hand.” 

Lauren Laifer

University of Nebraska-Lincoln

“I liked the depth with which content was reviewed in this course.” 

“I liked the depth with which content was reviewed in this course.” 

Janet Carola Perez Ewert

Universidad del Desarrollo