A good question. I'm afraid I don't have any good examples.
But regarding how to motivate students and get them to learn thinking techniques - forget 'qualitative' and think 'text'. All students, even the most diehard number-crunchers, have to read articles i.e. text, and many QDA techniques are perfectly applicable to analysis of articles, chapters etc. (At the very least the way we typically read those is a form of thematic analysis).
In addition I prefer to avoid using a CAQDAS program to teach students these techniques in the first instance - and instead focus on manual techniques (which does not mean they cannot use wordprocessing programs etc. - just that they don't get too involved in the mechanics of complex pieces of software before they understand what they are trying to do). CAQDAS programs can be used when they know why they might want to use them. But this may not be an option for you given the other constraints you mention.
Best wishes
Stephen
> -----Original Message-----
> From: qual-software [mailto:[log in to unmask]] On Behalf Of
> [log in to unmask]
> Sent: 07 June 2011 09:20
> To: [log in to unmask]
> Subject: Practical examples of analysis?
>
> 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.
>
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