Course Title:
Advanced Quantitative Techniques
Course Description:
Covers multivariate statistical models and their applications to social science data. The ordinary least squares (OLS) regression model and the assumptions underlying it are covered in detail, as are techniques for analyzing data when OLS assumptions do not apply, such as simultaneous equation models, time series models, and maximum likelihood techniques for limited and discrete dependent variables. This is an advanced course in quantitative techniques for graduate students in the social sciences.
Fall Offering:
Lab/Coreq 1:
Spring Offering:
Lab/Coreq 2:
Summer Offering:
Lab/Coreq Remarks:
Summer 1 Offering:
Prerequisite 1:
SOC G210
Summer 2 Offering:
Prerequisite 2:
POL G202
Cross-Listed Course 1:
Prerequisite 3:
Cross-Listed Course 2:
Prerequisite 4:
Cross-Listed Course 3:
Prerequisite 5:
Cross-Listed Course 4:
Prerequisite Remarks:
Or permission of instructor.
Cross-Listed Course 5:
Repeatable:
N
