In this course, students learn how to use statistical methods to answer a wide variety of questions in political science. More specifically, students will focus on how to test hypotheses where the dependent variable is dichotomous, ordered categories, unordered categories, counts, and more. The course covers advanced topics in linear regression, including time series data, multilevel modeling, and interaction terms. Assignments focus on how to convey statistical results in many different ways, ranging from technical reports, to blog posts, to personal communication. Students will learn and improve their skills in the R statistical software package. Prior knowledge of R is not required. This class is especially recommended for students completing an undergraduate thesis with a quantitative component as well as students who want to pursue graduate studies in political science.
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request