HS 406F — Multilevel Modeling Methods

Meets for one-half semester and yields half-course credit.

Provides a basic introduction to a class of statistical models falling under the general category of “multilevel modeling,” (MLM) also sometimes referred to as “hierarchical linear modeling” (HLM). MLM and HLM are methods of regression analysis used to analyze data where observations are “clustered” or “nested” either within groups (e.g. students clustered in school) or longitudinally (e.g. observations at different time points clustered within individuals). Usually offered every year.
Graham Wright