15 Credits AUTUMN

Pre-requisites: No


Aims/Description: This module has been designed to help you develop your ability to conduct quantitative data analysis in the social sciences. The emphasis is not only on technical competence but also on understanding the principles behind the methods, as well as being able to competently interpret your results. We will be using real data with countless examples from across the social sciences (e.g., politics, economics, psychology, sociology, criminology, etc.) to learn about descriptive, exploratory, and inferential statistics. In doing so, we will cover a broad range of topics such as descriptive statistics and data distributions; scaling and measurement; data visualisation; linear and logistic regression and causal inference; uncertainty in estimation; cluster analysis; and spatial analysis using the R statistical software.

Restrictions on availability: No

Staff Contact: WEBB CALUM J
Teaching Methods: Laboratory work, Independent Study
Assessment: Course work

Information on the department responsible for this unit (Sheffield Methods Institute):

Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK