BMET 27A36 - Introduction to Statistical Programming with R

This course has a double objective. First, it intends to develop a general perspective on how to formulate and respond to research questions in the social sciences. To do this, we will rely on theory of science, as well as on the notion of causality. Second, we discuss measurement and their implementation using the statistical software package R. Emphasis will be placed on the handling of the software, as well as the acquisition of knowledge of the main statistical uses: descriptive statistics, correlations, single and multiple regressions. We work from existing data sets, essentially comparative sets of comparative politics and / or political behavior. The final coursework will concentrate on data concerning the 2020 US presidential elections.

Emiliano GROSSMAN

Atelier

English

The course does not require prior knowledge. However, it is absolutely necessary to install R and RStudio, the reference GUI (general user interface) for R, beforehand. Please follow the steps here: https://rstudio-education.github.io/hopr/starting.html Make sure your computer's operating system is up to date before starting the installation process. You can get back to me about this, but you have to be aware that I am NOT a Mac user – contrary to the majority of you.

Autumn 2022-2023

Course validation will consist of a small exercise in statistical analysis and its interpretation using one of the datasets used in the course. Small exercises will be distributed at the end of each session. They are mainly intended to help you revise and implement each lesson.