This two-day course provides social science PhD students with a practical introduction to quantitative research using R. Day one develops foundational skills in R and RStudio, including working with objects and data frames, importing, cleaning and transforming data, producing descriptive summaries and creating effective visualisations. Day two introduces the principles underpinning frequentist hypothesis testing and linear regression. Students will learn how hypotheses relate to statistical tests, what a p-value does, and does not, tell us, and how Type I and Type II errors arise, before exploring the theory, assumptions and interpretation of linear regression and applying these concepts in R. The course is designed for social scientists with little or no previous experience of R or quantitative methods.

Spaces are limited so we cannot guarantee a place at the point of registration. Please only register if you are certain of your availability and commitment to attend. Those allocated a place will be informed by e-mail closer to the event date. A waitlist will be held for those not offered a place initially.