Multilevel and Longitudinal Models

Harvard HGSE

Data often have structure that needs to be modeled explicitly. For example, when investigating students' outcomes we need to account for the fact that students are nested inside classes that are in turn nested inside schools. If we are watching students grow, we need to account for the dependence of measurements across time. If we do not account for such structure, our inferences will tend to be wrong. We also lose the opportunity to understand variation across time or groups and make more…