Structural Equation Modeling with Longitudinal Data

Catalog description

Emphasizes practical applications of longitudinal data analyses from a structural equation modeling perspective. In addition to discussing concepts related to longitudinal methods and design, students learn how to prepare data, model longitudinal data using software (e.g., Mplus), interpret output and report results of analyses. Example topics include panel models with observed and latent variables, measurement and structural invariance testing across time and group, fixed-effects panel models and mediation.