Matt,
I enjoyed the thoroughness of your data evaluation and the execution of your spreadsheet. I love a good spreadsheet, so kudos for what you’ve built. I found the data in the Palladio visualization to be a bit vague and uninteresting so I’m glad you went to the trouble of organizing an adjacency matrix, whether you knew that’s what it was termed or not.
During the completion of this task I was curious about which songs had low levels of selection, and it seems that you were also interested in this, enough so to find the answer for us. It would be interesting to run a separate data analysis on the non-selections and see how the groupings changed. Much like myself, it seems that you were left unsatisfied with the level of analysis possible given the Palladio visualization, and were left with questions about the reasoning behind the groupings. It would be beneficial to have more information about the participants (rationales,/age/socioeconomic status/gender/geographical location/musical tastes/time spent on the task etc.) and see if there are some commonalities between the groupings that are currently unclear to us. I’d be curious to hear your thoughts on which program you think would be best to use to run this sort of data analysis.
Well done on the task post, it’s always a pleasure to read your work.
- Katy