After a few days of reading boring articles about statistics, looking at dendrograms, pulling data apart and seeing how things work, I finally understand the basics of cluster analysis. I’m not sure whether my description of it and how to read dendrograms makes sense, but at least I basically get it.
Some conclusions about cluster analysis and card sorting tools:
- Cluster analysis is a particularly poor way to visualise outcomes from a card sort
- It would be possible for card sorting tools to allow sub-grouping and still use cluster analysis in the output (I always figured this is why tools didn’t include sub-groups)
- Current card sorting tools do nothing to help people understand the results they display. There is no information about the method and little transparency
- To do better statistical analysis, I’d need a much deeper understanding of statistical methods than I currently have (or want to have) and some very expensive statistical analysis tools
- Until someone adds good analysis capabilities to card sorting tools, practitioners will continue to be ignorant of better statistical analysis methods
No wonder everyone tells me they find it hard to analyse the outcomes of a card sort!
Leave a Reply