Quantitative Research Summer School

About

Core elements of statistical analysis covering a range of quantitative skill areas including regression, contingency tables and continuous data in a problem-based learning environment.

Target group

Undergraduate students

Course aim

This course aims to develop key statistical skills in students. Learning will be oriented towards:

- Assessing the strengths and limitations of using regression analysis for the establishment of causal inference; This includes:
- Distinction between causality, correlation or association
- Levels of measurement (e.g. nominal, ordinal, interval, ratio)
- Methods of regression analysis (e.g. OLS and logistic regression) and related
assumptions
- Learning how to respond to research questions with the application of statistical methods of analysis, mainly regression methods, with the help of statistical software.
- Learning how to interpret the outcome of regression models and contextualise the results within broader theories.