Introduction to Regression Analysis

This course is an introduction to the mainstay of quantitative empirical work in political science, the linear regression model. We begin by putting the regression model in context by discussing causation, generalization, and quasi-experimentation. We then introduce the basic two-variable regression model, discuss its assumptions, and learn how to test hypotheses with it. This is followed by the presentation of the multiple regression model and then an exploration into common pitfalls of regression analysis. If time permits, we will cover various extensions including dichotomous choice models (e.g., vote for the incumbent or not), multinomial choice models (e.g., vote choice in multi-candidate elections), duration models (e.g., the stability of coalition governments), and so on. We also will spend some time on how to best present results from regression models.