Module 4: multilevel/hierarchical models

Optional:

• Data Analysis Using Regression and Multilevel/Hierarchical Models by Gelman A., and Hill, J.:
  • Section 11: Multilevel structures
  • Section 12: Multilevel linear models: the basics
  • Section 13: Multilevel linear models: varying slopes, non-nested models, and other complexities
  • Section 14: Multilevel logistic regression
• An Introduction to Categorical Data Analysis, Second Edition by Alan Agresti:
  • Section 10: Random Effects: Generalized Linear Mixed Models
  Download pdf versions of individual chapters, including this one, via Duke library here. Let me know if you run into problems downloading the chapter.