Participatory Analysis and Collaborative Coding

Transcript:Participatory Analysis and Collaborative Coding:
Participatory Analysis and Collaborative Coding Lucy Pickering (University of Glasgow) Daniel Turner (Quirkos Software) Who we are Dr Daniel Turner Founder and Director of Quirkos daniel@quirkos.com www.quirkos.com Dr Lucy Pickering Senior Lecturer in Medical Anthropology The University of Glasgow lucy.pickering@glasgow.ac.uk Instagram: @DirtyScholars What is analysis? Coding data Interpreting that data Writing up findings Interpretation and sense checking Answering research question Linking back to theory Why (not) participatory analysis/coding? Not commonly done It’s the academic’s job Not considered to add analytic value Responsibility and credit Academic as ‘glorified administrator’? Are academics ready to give up control?! Co-authorship (politics of the REF / RCUK) Why do participatory analysis?! Ethical values Quality Dissemination and knowledge exchange Personal development as a researcher General challenges of doing participatory analysis Roles and expectations Hierarchies and relationships Communication Technology Learning software at the same time as coding Learning to do analysis in public Investment / buy-in Cultural differences Geographical cultures Class cultures Gender norms Age / status How to do it Individually Comparatively Collaboratively Ways of coding Researcher codes – participants comment/challenge Participants code – researcher challenges/comments Group challenge – all do it together? Ways of doing participatory coding Blank sheet of paper Framework creation Emergent coding Grouping exercise Category prompts Quotes from participants I started adding in categories, and then thinking, ooh, if I’d added that in earlier I could actually have tied it up to such-and-such comment I thought that bit revealed a lot about her political beliefs, and I could feel my emotions entering into my judgement Suspicion, oh yeah, that’s negative trust. Love of Scotland, oh! I put anti-English feelings which is the opposite! Ours are like inverse pictures of each other’s! Ways of collaborative interpreting What does it mean? / What did you discover? Researcher does the interpretation – participants comment/challenge Participants do the interpretation – researcher challenges/comments Group challenge – all do it together? After Coding… Using for sense-checking? (how will you manage conflicts?) Is it representing/building a narrative? How many interpretations? What are you doing this for? Writing up How do you bring it all together? How write up multiple interpretations of the same data? How to write sincere and coherent outputs? Different outputs for different audiences / authors Tools Physically meeting (or Skype / Zoom)? Paper, highlighters, post it notes (tea and coffee!) What training is needed? Coding software? What is Quirkos? Simple software tool for qualitative analysis (CAQDAS)