Research Methods and Policy Applications I

5 credits · Graduate

This course provides a conceptual and applied introduction to statistical methodology. We will cover topics such as random variables and their distributions, linear regression analysis, and hypothesis testing. The goal is that all students gain a thorough understanding of each concept and method, and the ability to create and analysis regression models. Students will also gain extent practical experience in data handling and analysis using R. We will go through various hands-on data and coding examples during lecture, so students are asked to bring their laptop to all class meetings. By the end of the term, all students should feel comfortable using R for data analysis, and feel prepared to conduct their own research projects in 301B in the winter. Core course with enrollment limited to MIP students