Class Id: 9740
Days: MW
Start Time: 09:00 AM
End Time: 10:30 AM
Building:
Room:
Course Id: 4329
Departments and Numbers: POP 510
Area:
Title: Multilevel Models (Half-Term)
Description: An introduction to statistical methods for the analysis of multilevel data, such as data on children, families, and neighborhoods. Reviews fixed- and random-effects models for clustered and longitudinal data. Presents multilevel random-intercept and random-slopes models, discussing model fitting and interpretation, centering and estimation of cross-level interactions, and extensions to binary and count data using maximum likelihood and Bayesian methods. Course emphasizes practical applications using the multilevel package MLwiN. Half-term course, offered second half of spring term.
Prerequisites: WWS 509 or equivalent
Professors: German Rodriguez
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Created by Bob Dondero.