Political Methodology I: Regression

3–5 credits · Graduate

Graduate-level introduction to statistical research in political science, with a focus on statistical inference and linear regression. Teaches students how to rigorously apply multiple regression models as used in much of political science research. Also covers elements of probability and sampling theory. Open to Political Science PhD students only. Non-Political Science PhD students must pass an entrance exam to enroll in this class. Please contact Sarah Nelson snelson4@stanford.edu for exam date, time, logistics and study materials.