SOC 560 A: Hierarchical Modeling for the Social Sciences

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Meetings: 
MW 2:30pm - 3:50pm / THO 202
F 2:30pm - 3:20pm / SAV 136
SLN: 
20031
Joint Sections: 
CS&SS 560 A, STAT 560 A
Instructor:
Adrian Raftery
Catalog 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/STAT 560.
Credits: 
4.0
Status: 
Active
Last updated: 
October 31, 2019 - 4:01am