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.
Syllabus Downloads
Current Time Schedule
Winter, 2023
SLN/Section | Time | Location | Instructor |
---|---|---|---|
20801 A Open |
M W 2:30PM - 4:20PM |
SAV 168 |
William Brown |
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