Event Phone: 1-610-715-0115

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 2-Day Seminar Taught by Gregory Hancock, Ph.D.

Structural equation modeling (SEM) is a versatile analytical framework for estimating and assessing models that describe relations among both measured and latent variables. Common examples include measured variable path models, confirmatory factor models, and latent variable path models. These models subsume methods based on the traditional general linear model such as multiple regression and analysis of variance.

This seminar goes beyond introductory SEM to cover more advanced methods that enable researchers to address their current modeling questions more effectively and also to focus on entirely new research questions. After a review of SEM basics, we will cover real data challenges (e.g., missing data, nonnormality, complex samples, categorical data), mean structure models for measured and latent variables, models for latent variable interactions, latent growth curve models, and power analysis in SEM. The style of instruction is designed for participants with a variety of content backgrounds. Examples will be presented using both Mplus and the SIMPLIS language within LISREL.