| Description |
An introduction to statistical methods for the analysis of multilevel data, such as data on children, families, and neighborhoods. Reviews fixed- and random-effects models for clustered and longitudinal data. Presents multilevel random-intercept and random-slopes models, discussing model fitting and interpretation, centering and estimation of cross-level interactions, and extensions to binary and count data using maximum likelihood and Bayesian methods. Course emphasizes practical applications using the multilevel package MLwiN. Half-term course, offered second half of spring term. |