With the increasing availability of longitudinal data, researchers need to decide the best models for their data.
A wide variety of models have been proposed, many of which are available using Structural Equation Models (SEM). This course will review some of the major longitudinal SEMs. Among others this will include autoregressive/crosslag models, latent growth curve models, and Autoregressive Latent Trajectory (ALT) models. The workshop will present each type of model and illustrate their estimation and fit with empirical data.
Some knowledge of SEMs is assumed.