Yuki Yanai

Research Methods in Political Science II（政治学方法論 II）

School of Law and Graduate School of Law, Kobe University, Fall 2016

Class Overview

Class Materials

Day 1

• Linear Regression: A Review
• Interaction: Conditional Effects

Day 2

• Markov Chain Monte Carlo
• Introduction to RStan

Day 3

• Introduction to GLM: Logit Model (Logistic Regression)
• Exercises

Day 5

• Analysis of Count Outcome: Poisson Model
• Some Other Count Models: Negative-Binomial Model and ZIP Model