This subject will introduce students to quantitative methods with applications in social science research. Topics covered will include: describing, summarising and visualising data; observational and experimental methods, and; statistical inference and the general linear model including its assumptions. This subject will discuss causal inference in relation to study design. Practical work will involve using statistical software to apply the methods covered to a pre-existing survey dataset.
Intended learning outcomes
On successful completion of this subject, students should have:
Learnt about fundamental principles of design and research
Acquired skills in the analysis of research data
Gained skills in the use of statistical software
Developed the ability to assess research critically from a statistical point of view.