This week, we review some basics of qualitative data analysis and interpretation
To analyze qualitative data, we often code it. A code is a name or symbol used to stand for a group of similar items, idea, or phenomena that your team has noticed in your data set. Codes are operational, they have names, often a single term or phrase close to the concept the code describes (adapted from LeCompte & Schensul, “Analyzing and Interpreting Ethnographic Data” (1999). Here we differentiate between coding as a form of analysis and interpreting the results with your team (including community stakeholders and peer researchers)
- Watch this 6 minutes video https://youtu.be/DRL4PF2u9XA and this video https://www.youtube.com/watch?v=iL7Ww5kpnIM and take notes
- Skim over this academic example related to HIV Stigma or this example.
- Think about what you bring into the reading of data, your background, the work you do, your assumptions and personal preferences and sometimes personal prejudices
- Keep as much neutrality as you can, a mindset between prejudice/assumption and inference (jumping to conclusions)
- Read and code this transcript of a podcast on “Perceptions and Healthcare Needs of HIV-Positive Mothers in India” and post to the Discussion Board.
This is a gentle reminder to keep on working on your…