Carnegie Mellon University

Regression Analysis for Political Science II

Course Number: 84-702

By the end of RAPS II, students will be able to evaluate critically most studies that use statistical tools in political science research, and be able to design and carry out original research applying quantitative methods. Among other topics, we will examine the violations of regression assumptions (e.g., multicollinearity, heteroscedasticity, autocorrelation, measurement error, and specification error), interaction terms, analysis of residuals, maximum likelihood estimation procedures, models with ordinal dependent variables, and non-linear models. There will be an emphasis in using graphical tools to aid interpretation and presentation of results.

Academic Year: 2021-2022
Semester(s): Spring
Required/Elective: Elective
Units: 12
Location(s): Pittsburgh

Spring 2022
Monday and Wednesday
11:50 AM - 1:10 PM

Required course for the following IPS degrees:
Master of Science in International Relations and Politics