Enrolled students will acquire a basic inferential statistics toolkit. The course will pay special attention to Ordinary Least Square regression (OLS) and a selection of Generalised Linear Models (such as logit/probit, multinomial, ordered models and/or rare events data generating processes)—the workhorses of quantitative social sciences. This course is very hands-on, and while some statistical theory will be covered, the core of it will be on data analyses and programming in R. Overall, this course is an opportunity for students to make progress on their Master theses, particularly on the data analyses portion of it. For those matters, the actual content of the course will follow the students’ research questions and data structure. Thus, during the course, students will perform real analyses on their own data (if they have those data already available), otherwise students will perform replications.
- Teacher: Héctor Bahamonde