Philosophy of Social Science Research (20 credits)
The module considers fundamental philosophical debates about what counts as ‘knowledge’ across the social sciences. Teaching addresses (natural) science as a method of obtaining knowledge and the interpretative tradition in the social sciences. Students explore fundamental philosophical debates about what counts as ‘knowledge’ across the social sciences and apply these discussions to their own disciplines and field of study.
Research Design, Practice and Ethics (20 credits)
The module introduces students to social science research designs and ethical issues in research practice. Learning supports students to be able to make strategic choices when developing their own projects, and to assess the design and research ethics decision making in others’ published research work.
- Thesis-related preparation
- Information Skills for Social Sciences
- University Programme of Skills Training (as necessary)
- Dissertation-related preparation
Fundamentals in Quantitative Research Method (20 credits)
Concepts, methods and skills central to quantitative research, including data collection approaches and concept operationalization, are core throughout this module. Building on a grounding in ideas relating to probability sampling, sampling error and statistical inference, coverage of techniques extends from comparisons of means and simple cross-tabular analyses to a discussion of multivariate analysis approaches, focusing on linear and logistic regression
Foundations in Qualitative Research (20 credits)
Qualitative research is examined across a range of topics, from different approaches and methods including ethnographic and observational research, discourse and conversation analysis, documentary and archival analysis, participatory research and the use of interviews. Ethics in qualitative research is specifically considered, as is the evaluation of qualitative research.
- Thesis-related preparation
- Four advanced training modules (10)
- Dissertation (60)
Advanced training modules
Unless stated, all advanced training courses run as 2-day intensive workshops from 10–4pm with breaks. This list is updated regularly as new courses are approved so do check this website from time to time to see what is on offer.
These advanced training courses are open to all research students in the College (and some departments in other Colleges, such as Geography, subject to the discretion of the Programme Team). However, places on each course are limited and priority will be given to MA Social Research students.
These advanced training courses are also open to all staff in the University who may wish to attend without completing the assessments. However, all doctoral researchers and staff who wish to do so will be placed on a waiting list. Confirmation will be sent a week before the course dates.
Advanced Training courses modules
- Introduction to Econometric Software
12 October, 2, 16, 30 November 2018
- Narrative Research
25 and 27 March 2019
- Questionnaire Design
30 April and 7 May
- Factor Analysis
1 May and 15 May 2019
- Introduction to Causal Inference
2 and 3 May 2019
- Case Study Research Design
8 and 22 May 2019
- Multivariate Linear to Logistic Regression
9 May and 10 May 2019
- Approach to Research on Discourse
13 May and 14 May 2019
- Regression with Categorical Dependent Variables
16 May and 17 May 2019
- Documentary Research in Education, History and the Social Sciences
20 and 21 May 2019
- Policy Evaluation
23 and 24 May 2019
- Visual Research Methods
28 and 29 May 2019
- Q Methodology - A Systematic Approach for Interpretive Research Design
30 May and 31 May 2019
- Introduction to Time Series Regression
3,4,5,6 June 2019
- Researching Disability
7 and 14 June 2019
- Mixed Methods Research Design
10 and 11 June 2019
- Advanced Qualitative Data Analysis (NVivo)
12 and 13 June 2019
- Researching Young People
17 and 18 June 2019
NB: some courses have pre-requisites, e.g. to register on Multiple Linear and Logistic Regression, Factor Analysis, or Narrative Research, you will need to have passed Social Research Methods II (20 credits module), or equivalent. You will need to provide evidence that you have passed a similar course on quantitative/qualitative data analysis where appropriate.
To register for the above advanced training courses, please e-mail: email@example.com specifying which courses you are interested in. When registering for courses, please provide your name, student ID, department/programme you are affiliated to, and your e-mail address.
You will receive a confirmation e-mail, acknowledging your request, and advising you of availability.