This workshop will get participants started in data analysis using R/RStudio. It will briefly cover different components of data analysis and connect them with the goal of extracting meaning from data. We will go over an example to illustrate the data analysis process from beginning to end.

Workshop format: Presentation and hands-on

Target audience: This workshop is ideal for those who are at the initial stages of doing independent research requiring quantitative analysis (term paper, dissertation, junior paper, senior thesis).

Knowledge prerequisites: None

Hardware/software prerequisites: To follow along with examples, participants should have R and RStudio installed and running on their laptops in advance. Instructions for doing so can be found in this guide: https://bit.ly/3jyCj4A

Learning objectives: Participants will walk away with 1) a basic knowledge of how to prepare the data for R/RStudio; 2) how to use R/RStudio for data analysis with a basic understanding of descriptive statistics, data visualization, ANOVA, and regression; 3) the idea that data analysis is not just about running statistical models.