STAT 560

Hierarchical Modeling for the Social Sciences
4.0 credits

Course Description

Explores ways in which data are hierarchically organized, such as voters nested within electoral districts that are in turn nested within states. Provides a basic theoretical understanding and practical knowledge of models for clustered data and a set of tools to help make accurate inferences. Prerequisite: SOC 504, SOC 505, SOC 506 or equivalent. Offered: jointly with CS&SS 560/SOC 560.

Current Time Schedule

Winter, 2023

SLN/Section Time Location Instructor
20801 A

M W 2:30PM - 4:20PM

SAV 168

William Brown