Event Phone: 610-715-0115

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 3-Day Livestream Seminar Taught by Dan McNeish, Ph.D.

This course provides an introduction to latent growth curve modeling, a class of models within the structural equation modeling framework that can be used to model change or growth in longitudinal data.

The course is intended for those who are looking to familiarize themselves with growth modeling and no previous experience with longitudinal data is assumed. The emphasis of the course is to build a solid foundation for (1) why longitudinal data require specialized methods, (2) the opportunities and unique research questions that can be asked and answered with longitudinal data, (3) the conceptual underpinning of latent growth curve models and how they accommodate features of longitudinal data, and (4) when latent growth curve models may or may not be ideally suited to help researchers model their longitudinal data.

As a rudimentary outline for the course, we will begin with an overview of longitudinal data to contextualize how latent growth curve models fit into the broader landscape of longitudinal modeling and to identify the types of questions that latent growth models can help answer. Then, we will introduce the basic tenets of latent growth curve modeling. Lastly, we will cover some more advanced topics that routinely arise in empirical analyses.