Description
Latent Curve Modeling is a workshop focused on the application and interpretation of latent curve models (LCMs) fitted to repeated measures data within a structural equation modeling (SEM) framework. 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 SEMs available for analyzing repeated measures data, but the latent curve model is by far the most widely applied and is the focus of our workshop. Topics covered include longitudinal designs, linear and non-linear latent curve models, predictors of growth, and multivariate latent curve models, and a survey of additional extensions.
