This module explores the foundations of quantitative data, including the different types of data used in social science research and how to locate, store, and manage them effectively. You will also be introduced to commonly used statistical software and learn how to select appropriate tools for conducting quantitative data analysis.

This module provides an overview of common quantitative data analysis techniques and their use in social science research. You will learn how different methods can be used to describe data, explore relationships between variables, and explain or predict social phenomena, helping you understand when and why different analytical approaches are applied.

This module introduces the essential process of preparing data for quantitative analysis. You will learn how to examine datasets, clean and organize data, and apply common variable manipulation techniques to ensure your data are accurate, manageable, and ready for effective analysis.

This module provides a practical, step-by-step introduction to quantitative data analysis using the 2020 Scottish Index of Multiple Deprivation dataset. You will learn how to prepare and explore data, conduct descriptive and exploratory analyses, and interpret the results of a multiple linear regression, gaining an overview of the quantitative analysis process from start to finish.

This module focuses on interpreting and communicating the results of quantitative data analysis in meaningful ways. You will learn how to explain statistical findings in clear, accessible language, distinguish between statistical and substantive significance, and use quantitative evidence to create compelling narratives about social phenomena.

In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.