Description
Introduction to Longitudinal Structural Equation Modeling is a three-day workshop focused on the application and interpretation of structural equation models fitted to repeated measures data. The analysis of longitudinal data (i.e., the repeated measurement of the same cases over time) is fundamental in nearly all areas of social and behavioral science research. There are many structural equation models available for analyzing repeated measures data but the latent curve model is by far the most widely applied and will be the primary focus of this class. Topics include longitudinal designs, linear and non-linear latent curve models, predictors of growth, multivariate latent curve models, and observed and latent multiple group growth models (e.g., mixture models).