INTRODUCTION TO STATISTICAL METHODS IN POLITICAL SCIENCE

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Critically read, interpret and replicate the quantitative content of many articles in the quantitative social sciences Audience: Graduate 2. Conduct, interpret, and communicate results from analysis using multiple regression Audience: Graduate 3. Explain the limitations of observational data for making causal claims, and begin to use existing strategies for attempting to make causal claims from observational data Audience: Graduate 4. Write clean, reusable, and reliable R code Audience: Graduate 5. Feel empowered working with data Audience: Graduate Learning Outcomes: 1. Critically read, interpret and replicate the quantitative content of many articles in the quantitative social sciences Audience: Graduate 2. Conduct, interpret, and communicate results from analysis using multiple regression Audience: Graduate 3. Explain the limitations of observational data for making causal claims, and begin to use existing strategies for attempting to make causal claims from observational data Audience: Graduate 4. Write clean, reusable, and reliable R code Audience: Graduate 5. Feel empowered working with data Audience: Graduate