Schedule: Mondays, 3:10-6:00 PM

Location: Room 320__,__ Myasnitskaya 11

**Course Description:** In this course we cover research methods for political science in four distinct modules: **1)** Prerequisites (two lectures), including calculus, probability theory, linear algebra, and basics of working with a statistical software **2)** Fundamentals of regression analysis (five lectures): including bivariate and multiple regression analysis, diagnostics of inference and hypothesis testing, limited dependent variable regression analysis, and intro to regressions with time series and panel data **3)** Panel data analysis, fixed and random effects, hierarchical and multilevel models, and policy evaluation methods in political science (five lectures) **4)** Research Design including causal analysis methods, differences-in-differences, matching, regression discontinuity, and instrumental variable methods, controlled experiments, field experiments, and natural and quasi-experiments (four lectures)

### Lecture Notes

Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 5

Lecture 6

Lecture 7

Lecture 8

Lecture 9

Lecture 10

Lecture 11

Lecture 12

Lecture 13

Lecture 14

### Lecture Slides

Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 5

Lecture 6

Lecture 7

Lecture 8

Lecture 9

Lecture 10

Lecture 11

Lecture 12

Lecture 13

Lecture 14