Quantitative data analysis research skills are an essential part of research in the social sciences. The Methods Hub in the Social Science Research Centre organised a series of practical hands-on workshops (in 2023-24) for research students to get familiar with key statistical concepts using practical exercises developed on different statistical software packages. Students got the chance to go through the practical exercises by themselves, and ask for help from the teacher when they get stuck or have questions.
The following web resources are taken from the workshops and includes Introductory videos, notes and links to datasets used.
Survey Data analysis and Longitudinal Data analysis in SPSS
Aggregate Data in Excel
The focus in this workshop is getting you to use Excel to analyze aggregate data.
Linear, logistic and multilevel regression models in R
The aim of these four workshops is to introduce students to run linear, logistic and multilevel regression models using the statistical software package R. Students will learn about the underlying concepts and assumptions of linear and logistic regression models, as well as the theory of multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects models).
Students are encouraged to attend all the workshops, but those with some knowledge of linear regression models can attend workshop 3 directly (Multilevel Regression in R- Part 1). Similarly, those with some knowledge of logistic Regression models can attend workshop 4 directly (Multilevel Regression in R- Part 2).
Participants are expected to bring their own laptops to the workshops and install R/Rstudio software. Below attending the workshops, please