The Advanced Qualitative Research (AQR) course offered by the Department of Education starts in week 2 of Michaelmas term.
Classes will be held every Tuesday of Michaelmas and Hilary terms from 11am to 12.30pm in Seminar Room E, Department of Education, 15 Norham Gardens, OX2 6PY. Optional student-led sessions will continue for Trinity term. The primary and expected format is in-person. Hybrid technology is available to facilitate some to attend online, if necessary.
The course is open to D.Phil. students across the Social Sciences Division and has been designed to help you develop skills and understanding relating to the analysis of qualitative data as you are finishing or finished your field work and beginning the process of analysis. The structure of the course reflects the issues and challenges that students have faced using qualitative data in their research, is quite practical and highly discursive in nature.
If you would like to attend AQR, please complete an Expression of Interest form here: https://forms.office.com/r/Z0MGx7z9WH
Registration is for at least both Michaelmas and Hilary terms; Trinity term is optional. If you will be leaving during the year to conduct fieldwork, please contact me to discuss the best way for you to attend. It is probably better to wait until your return, but some people successfully complete Term 1 in one year and return for Term 2 the next. You are asked to commit to attend all sessions because of the nature of the seminars. Course handbooks will be provided for attendees who have registered.
Please contact Dr Liam Guilfoyle if you have any additional queries.
Michaelmas Term – Unit 1: Quality, theory and framing
Week 2 Session 1: Quality and trust in data analysis I
Week 3 Session 2: Conceptual and theoretical frameworks
Week 4 Session 3: Theory in use in qualitative data
Week 5 Session 4: Numbers in use in qualitative data
Week 6 Session 5: Coding qualitative data I
Week 7 Session 6: Progressive focussing
Week 8 Session 7: Writing, methodology and context in qualitative theses
Hilary Term – Unit 2: Quality and the process of data analysis
Week 1 Session 1: Quality and trust in data analysis II
Week 2 Session 2: Within-case analysis
Week 3 Session 3: Cross-case analysis
Week 4 Session 4: Introduction to Mixed Methods
Week 5 Session 5: Focus groups
Week 6 Session 6: Deconstructing qualitative writing
Week 7 Session 7: Writing qualitative analysis
Week 8 Session 8: Coding qualitative data II: CAQDAS tools