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Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Aidan Wright, Ph.D.

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.