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When students/participants do not have data of their own I bring transcripts of focus groups or indepth interviews and have them work in groups developing coding structures. then we discuss codes and develop a common logical structure. We then code and do some simple matrix intersections. This works well Sent from my iPhone On Jun 7, 2011, at 4:20 AM, "[log in to unmask]" <[log in to unmask]> wrote: > We offer a short qual software (atlas.ti) undergrad course before out > qual methods courses (partly for external, curricular reasons, partly > in order to be able to be able to use the program in the methods > classes). For many students it means learning just a bag of tricks > applied to some irrelevant data, not leaning tools for thinking and > theorizing. The same seems to be the problem with all the software > tutorials. The tutorials may work well for more advanced students as > they can already relate the tricks to problems of analysis they have > encountered. > > One solution would be to find so interesting data that the students > would just get carried away with it. That we have tried to do, but > students' interests vary (the course is for students of all > disciplines in Social Sciences). > > Now I'm trying to find some quite low-level practical examples and > tutorials of what researches do with their data when they have > problems to solve. How the coding schemes evolve, how concept-maps, > searches, crosstabulations etc have helped in improving the coding > scheme, theorizing and writing up? Not just what to click to get some > "results". > > http://www.idrc.ca/cp/ev-106563-201-1-DO_TOPIC.html seems to be a > good one. Any others? Nothing in http://ocw.mit.edu/ ? > > -Timo Harmo > Computing Coordinator, Fac of Soc Sci, U of Helsinki. > > > P.S. one special topic that I'd like to learn more about myself, and > to be able to offer to students is using qual software as a writing > tool. For example, in Atlas.ti memos from the first draft can be > turned into primary documents from which the second draft can be > extracted, and the network views can serve as basis for the final > outline. This would be especially useful for some of our students who > are not interested in qualitative methods at all but unfortunately do > take the course.