This upper-level course focuses on data analysis methods for research involving fixed and random factors and where one or more factors are nested (non-independent) including individuals within clusters, time within individuals (growth modeling) measures within studies (meta-analysis) and multiple membership models (cross-classified). A variety of software is presented, including HLM, SAS, and SPSS. Pre-requisites: EDPSY 593 or 594, or equivalent. Recommended for graduate students who will be actively consuming or conducting quantitative research with nested data.
Methods Focus
Quantitative Methods
Tier
3
Credits
(3 credits)
Quarter
Alternating Winter quarters (odd years)