Multilevel Modeling

Catalog description

This course is designed to provide an introduction to multilevel, or hierarchical, regression models, and to explore its two primary applications in the social sciences: (1) studies of individuals nested within groups; (2) studies of repeated observations nested within individuals. After taking this course, students should be able to discuss the components of the multilevel model, including random intercepts & slopes, variances at levels 1 & 2, within- and between-group regressions. Students should also be able to conduct independent statistical analysis using Stata from initial tests of assumptions and hypothesis testing, and to assessing model fit. This course will additionally provide instruction on time-based and age-based latent growth curves within the multilevel modeling framework. Prereq: SOCI 509 or requisites not met permission.