Advanced Analysis of Change and Variation

1.5 credits · Graduate

The emphasis is the general linear mixed model for repeated measurements and other nested data structures. Both multilevel and structural equation models are examined and applied to longitudinal data. Special topics include time invariant and time-varying covariates, evaluation of alternative time structures, change in factor-level outcomes and analysis of intensive repeated measures designs.