Last week, I’ve interviewed over ten community members from my research site! Although I may need to do a few more interviews, this week is dedicated to writing the methods chapter of my thesis, parts of my findings chapter, and the theoretic analysis of my interviews.
The process of analyzing interviews can be rather slow. First, I contact people to see if they are interested in interviewing with me — these have been people who have offered to interview, or they are people who indicated on my learning survey that they’d be willing to interview. In order to select people, I do what is called purposeful sampling. In other words, I find people whose particular experiences (or lack of experiences) can help me understand particular questions that I have about the model I am developing.
Unlike research that we are used to (such as the physical sciences), qualitative research is about understanding how people define things on their own terms. Thus, even a simple term like “learning” may mean different things to different people. My interviews are to get at what people come to understand as “learning,” and how they learn at the Builder’s Brewery.
Once I’ve contacted people, and they have given me consent to interview them, I conduct a 1.5-2 hour interview. To help prepare my interviewees, I give my interviewees example questions ahead of time so that they know the things that I’ll be asking about. These interviews are recorded, while I’m also taking down notes about what they say. Afterward, I go back to the recording and transcribe the interview, so that I can pay attention to the exact words that participants use. These words and terms make-up the skeleton for my model.
Once I have the transcript and my notes, I code them. What this means is that I break up the interview into blocks, where each block signifies some code, or refers to a certain experience. I may have to go through transcriptions several times like this, because each time I go through a transcription, I may see different things.
Afterward, I put all my interviews side-by-side, and look for overarching themes and commonalities as well as differences. These get recorded, too, as thematic codes. This is what goes into my learning model.