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Course Details

Spring 2017-2018
POP 510   P/D/F Only

Multilevel Models (Half-Term)

Germán Rodriguez

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.

Other (See Instructor) - 100%

Prerequisites and Restrictions:
POP 507/WWS 509 or equivalent.

Other information:
This class will meet from 3/26/2018 to 4/16/2018.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43306 C01 09:00:00 am - 10:30:00 am M W   Wallace Hall   290   Enrolled:6 Limit:12