Multivariate Statistical Methods II

SOC 2020 S01 [CRN: 23791]

This course is a graduate-level introduction to multivariate regression models for categorical and limited dependent variables. Subject matter includes modeling nominal and ordinal outcomes; truncated distributions; and selection processes. The course also reviews strategies for sample design; handling missing data and weighting in multivariate models. The course employs contemporary statistical software. Special emphasis is placed on model selection and interpretation. Prerequisite: SOC 2010
Course Syllabus
View Syllabus
Term
Spring 2014
Credit Hours
1.0
Maximum Enrollment
40
Primary Instructor
Meetings
09:00 am - 12:00 am Tue - from Jan 22, 2014 to May 16, 2014
Exam Group Code
08 (May 10, 2014 2:00pm)