Methoden der Politikwissenschaft

This course is a continuation of the previous semester's lectures, "Political Science Methods I: Data Collection and Research Design". It provides a concise introduction to the quantitative analysis of research data. First, we lay the groundwork by learning about inferential statistics and bivariate hypothesis testing. Students will then be introduced to the principles of linear regression analysis, its assumptions, and applications. We expand this toolkit by also learning about interaction effects, models with binary dependent variables, and panel data. At the end of the semester, students will be able to better comprehend the quantitative political science research literature, to apply these empirical techniques to their research, and conduct their own quantitative data analyses using the programming language R. It is strongly recommended to also attend the accompanying "Übung" and "Tutorium”.