Unless stated, all advanced training courses run as two-day intensive workshops from 10.00 to 16.00 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 of Social Science (and some departments in other Colleges, such as Geography, subject to the discretion of the Programme Team). These advanced training courses are also open to all staff in the University who may wish to attend without completing the assessments.
Those courses are also available for doctoral researchers from other institutions.
Advanced Training courses run in Semester 3, unless otherwise stated
- From Multiple linear to Logistic regression
- Narrative Research
- Analyzing Hierarchical and Panel Data (Not running 2012-13)
- Visual Research Methods
- Linguistic Ethnography
- Documentary Research in Education, History and the Social Sciences
- Researching Disability
- Approaches to Research on Discourse
- Policy Evaluation
- Advanced Qualitative Data Analysis (using NVivo)
- Secondary Research Data Analysis in Social Research
- Q Methodology – A Systematic Approach for Interpretive Research Design
- Activity Theory and its research applications (Not running 2012-13)
- Introduction to Time Series Regression
- Introduction to Econometric Software (module runs in Semester One)
- Randomised Controlled Trials (module runs in Semester Two)
New Modules awaiting approval
- The Role of Thinking: Philosophy of Social Science Research
- Mixed methods in interdisciplinary research: a sports based focus
- Biographical Research Methods
- Designing Questionnaires
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.