This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Postgraduate Handbook 2015-2016 (archived)
Module SOCI57815: Quantitative Methods in the Social Sciences
Department: Applied Social Sciences
SOCI57815: Quantitative Methods in the Social Sciences
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 4 | 15 | Available in 2015/2016 | Durham |
Pre-requisites
- None
Corequisites
- Statistical Exploration and Reasoning (SOCI 59215)
Excluded Combinations
- None
Aims
- to introduce students to the general nature of the quantitative programme in social science.
- to outline the role of quantification in the exploration of the social world.
- to consider the possibility of quantitative specification of causality in social science.
Content
- Complex realism and quantitative social science.
- Measurement and operationalization.
- Sampling and questionnaire design.
- Numerical taxonomy and cluster analysis.
- Case-based methods and QCA.
- Simulation techniques.
- Representing complex systems and exploring complex cause.
Learning Outcomes
Subject-specific Knowledge
- At the end of the module students will:
- be familiar with the basic principles of measurement in social science including an advanced understanding of issues of operationalization;
- understand how to employ appropriate procedures in quantitative research;
- understand the basic principles of survey analysis including issues of statistical inference from samples;
- understand the essential principles of secondary data analysis;
- understand the application of quantitative modelling procedures to real data sets;
- understand and be able to use processes of numerical taxonomy;
- understand the logic of figurational methods including qualitative comparative analysis (QCA);
- have been introduced to the role of simulation in social science.
Subject-specific Skills
- be capable of designing a survey in terms of sample design and questionnaire design.
Key Skills
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module will be taught by way of ten two-hour sessions, The first six sessions and the final session will be taught in the form of an interactive mini-lecture interspersed with small group activities and whole group discussions. Sessions seven, eight and nine will involve practical instruction in the IT lab.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Other: Combined lecture/seminar (sessions 1-6 & 10) and IT practical (sessions 7-9) | 10 | Weekly | 2 hours | 20 | |
| Preparation and Reading | 130 | ||||
| Total: | 150 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Assignment | 100% | Assignment | 3000 words | 100% | Yes |
Formative Assessment
Assignment - 1500 words.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.