Unit name | Further Quantitative Methods |
---|---|
Unit code | SPOLM0016 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Eroglu-Hawksworth |
Open unit status | Not open |
Pre-requisites |
Participants should usually have already taken the unit ‘Introduction to Quantitative Research Methods in the Social Sciences’ (SPOLM0015), or be able to demonstrate equivalent expertise. |
Co-requisites |
None |
School/department | School for Policy Studies |
Faculty | Faculty of Social Sciences and Law |
Analysing Quantitative Data
This unit builds upon the new DTC module, Introduction to Quantitative Research Methods in the Social Sciences (SPOLM0015), by focusing upon techniques for the analysis of quantitative data. The unit covers three main topics:
Upon completion of this unit student should be able to:
The summative assessment tests all of the ILOs and accounts for 100% of the unit mark.
The unit will be delivered through blended learning involving a combination of lectures, group discussion and self-directed exercises.
The summative assessment tests all of the ILOs and accounts for 100% of the unit mark.
Formative assessment will be primarily by means of student presentations delivered as part of the teaching program. Students will be asked to work in small groups to design a strategy for researching a key social policy problem (e.g. poverty and wellbeing) based on secondary survey data. Students will be asked to present their proposed research and will have an opportunity to receive feedback.
Summative assessment will be by means of a written assignment of not more than 4,000 words. Students will be asked to apply the knowledge and skills they have developed during the course of the unit to an exploration of a key social policy problem using secondary survey data