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This course will introduce students to quantitative methods (large-N) as they apply to social science research. Topics covered will include descriptive statistics, correlation, significance testing, multiple regression and experimental methods. This course will discuss causal inference in relation to these techniques and analyse some of the assumptions on which large-N quantitative research techniques such as regression are based on. This subject will include ‘hands-on’ work by all students using SPSS using existing large-N data sources such as the World Values Survey.
Intended learning outcomes
On successful completion of this subject, students should have:
- enhanced knowledge of the topic or area of scholarship taught in the module;
- an ability to reflect upon their own research work in relation to the content of the module; and
- enhanced engagement with leading-edge research in Arts today.
Last updated: 6 December 2019