Multilevel Modeling

3 credits · Graduate School

This course covers multilevel (or hierarchical linear) modeling, which is used extensively in psychology, education, sociology, and medical research. The course covers the theory behind multilevel modeling, hands-on application to data, exposure to uses of multilevel modeling in the applied literature, and instruction in popular multilevel modeling software. Key topics include random effects ANOVA, random slopes, cross-level interactions, multivariate and multi-group models, centering, growth models, discrete outcomes, and dealing with cross-classified data. [3]