Image showing data at its rawest
It’s a whole month since I last posted an update in the ‘reflective blog’. Well, I have been hard at work, following up the previous stage of getting the data into a place I can make meaning out of it. And that day is here. Hurrah!
I now have all my data, and have worked out at least a reasonably robust way of analysing and being able to put it all together, so the different sources make some sense to each other. After a rather disconcerting comment from a.n.other academic to the effect of “yours sounds like more of a PhD than a masters…” I am relieved to say I’d rather it was interesting and a little bit more work, than dull and pointless, but fulfilled the ‘learning outcomes’. To me, the learning outcomes are how to manage a challenging academic research project, with all that entails. Having said that, I have no idea what kind of marks I’ll get. I’m not a good student in that respect.
Here’s a peak at the Data Analysis architecture, to save me going on about it for an hour.
See, the logic is quite simple really, developing a ranking system – the Problems and Benefits Hierarchy (PBH), by using a variety of data sources to build and verify a set of categories and the ranking that a theme is given in the hierarchy.
It’s working. I have the first PBH, ready for RG1 data, closely followed by RG2 and RG3. Watch this space.
If you really do want more, read the draft Findings and Discussion pages, which are not complete but have started to have a bit of stuff in them of some relevance. If you still want more detail, then check the Data Analysis section of the site.