Prerequisites: EDUC 215D or consent of instructor
Description: Recent developments and advanced applications of multilevel modeling for research in education and the social sciences. Topics include mediation, cross-classified, mixture, multivariate, nonlinear, multiple group, and growth models. Also covers Bayesian estimation, causal inference, and other new or advanced topics related to multilevel modeling.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.