Date: Monday, March 24, 2014 - 12:00pm to 12:00pm
Location: MDS 223
Presenter: Dominique Zephyr, MA
SEM is a powerful data analytics tool that has become the leading multivariate technique used by social scientists and is becoming increasingly used by researchers in other disciplines. The popularity of SEM is due to the ability of estimate and assess models that describe relationships among both measured and latent variables and assess the overall fit of a model. This workshop will provide an overview of principles underlying SEM, and introduce three models fundamental to SEM; path models, confirmatory factor models, and latent variable path models. The assessment of model fit will also be introduced.