Advanced Qualitative Research Design and Data Collection (GEO 56806) offers PhD candidates and advanced master’s students enrolled in the graduate programme:
- A fuller grasp of the analytical value of arange of qualitative methods relative to yourown project's research questions and epistemological/theoretical positioning;
- The knowledge required to identify different methods’ particular logistical requirements and challenges;
- The knowledge and skills for anticipating and responding to ethical issues posed by the use of specific methods;
- The time and space to design a well-rounded strategy for data collection for your own research project aligned with your project's purpose and epistemological/theoreticalframework.
- Compulsory sessions in Weeks 1 & 4 enable students to critically investigate the values and forces underpinning their research projects, reflect on their researcher positionality and render their research project design more nuanced and robust.
- Free-choice sessions in Weeks 2 & 3 cover a range of qualitative data collection methods and techniques (see list below). Students write their assignments based on (a minimum of) 4 free-choice sessions that best fit with the research they are undertaking or wish to undertake.
Topics and methods covered
- Research as a formal system and the role of data in it (C1)
- Researcher positionality and reflexivity (C2)
- Ethnography and participant observation (FC 1)
- Data collection for discourse analysis (FC 2)
- Interviewing (FC 3)
- Participatory and co-creation methods (FC 4)
- Revisiting ontology with actor-network approaches (FC 5)
- Visual research methods (FC 6)
- Using the other senses in data collection (FC 7)
- Connecting the course content to practice x 2 (C3-4)
(C = Compulsory session; FC = Free choice session)
Assumed knowledge on:
Qualitative Data Analysis (YRM-60806) PLUS EITHER Critical Perspectives on Social Theory (PhD course) OR Advanced Social Theory (CPT-55306) OR WASS Research Methodology: From Topic to Proposal (PhD course)
Students learn about & practice key qualitative methods while gaining exposure to how diverse theoretical lenses make use of these methods. The course covers: interpretation, representation, comparison & validity; reflexivity & positionality, power relations & ethics; interviews & focus groups; (auto)ethnography & participant observation; revisiting ontology with actor-network approaches; techniques for capturing discourses; techniques for identifying proxies & using secondary sources; visual research methods.
After successful completion of this course students are expected to be able to:
- assess the analytical value of different types of methods relative to the student’s own research questions and theoretical framework;
- identify different types of methods’ particular logistical requirements and challenges;
- anticipate ethical issues posed by the use of specific research methods;
- design a data collection methods strategy aligned with the student’s own research questions and theoretical framework.
Workshops with lectures & interactive learning;
- exercises to practice specific methods & reflect on their effects;
- development of an individualised data collection methods strategy;
Each component must be marked with a 5.5 or higher:
- portfolio of peer-reviewed written post-session reflections (75%);
- individualised data collection methods strategy (25%).
| Session 1
| Session 2
| Session 3
| Session 4
| Session 5
| Session 6
| Session 7
| Session 8
| Session 9
| Session 10
| Session 11
| Session 12