So, here's the thing. My background is primarily literature based, that is, most of my previous work involved applying theory to texts. I am now faced with having data--most of it text--that I need to analyze in some kind of scientific way. I have decided to write up a case study or two or three (I actually have 6 people's data) because that seemed the easiest approach for me to take given my time frame and my subject. However, I have a couple of issues. One is the coding of this data. I have interviews with my subjects. I'll be coding them and then having a couple of outside readers code them. I'm not sure exactly how to do this, only having read results of such a process and not having done it myself. I think I will be able to work this out with some good resources that my committee has pointed me to.
The second, and perhaps more important, issue is the rest of the data. I have tons of it. I wanted to somehow analyze the blog itself. But I have no idea how to approach that. Also, I have survey results and class evaluations. What do I do with that? I was thinking I could summarize some of it, writing a short chapter on some of the issues raised by the blog and these surveys and evaluations. That chapter would be followed by the case studies. But maybe there's something else I should do with it. It's possible that I could use this data later. I am planning to teach the class again, after all.
It's a dilemma.