John wrote:
>I am currently involved in analysing 400 hard news stories from two
>national and two local newspapers concerning the export of live farm
>animals to Europe 1990-1996. I am at the stage of preliminary
>qualitative discourse analysis, having already undertaken what
>most would consider traditonal content analysis (coding into
>an SPSS file for length of article , souces cited, position
>in paper etc) but I am planning to use NUD*IST 3 in order to fully
>explore how the issue is reported in the newspapers and how these
>issues changed over time (from issues of welfare of animals to law
>and order issues in wake of demonstrations in Shoreham and
>Brightlingsea). Firstly, does the list know of any research which has
>used nudist for this purpose, as my lit review has drawn a blank, and
The best way to find out about people who have used NUD*IST for a
particular topic area is to ask on the qsr-forum - there are sure to be
several. Info about how to subscribe is on the qsr website - www.qsr.com.au
(along with lots of other useful information). Incidentally, I am puzzled
as to why you are about to use NUD.IST 3 when rev 4 offers a great number
of advantages over rev 3 (table import, a node browser, jump to source, to
name just a few)
>Secondly, is nudist the best qual programme for this purpose ? My
>coding experience thus far, is of having many nodes for each news
>story, as news texts contain many schemas (headline, lead, context
>history etc) and of course many themes contained within them (welfare
>of animals, police actions, verbal comments).
Certainly NUD*IST can do this task (even version 3!). Watch how you
construct your index tree though - do you mean by amny nodes for each news
story that you are coding each story at many nodes, or that your are
constructing many nodes just for each story? If the latter, you will get
yourself into trouble. I would suspect you would need a subtree for
schemas, a subtree for issues discussed, one for people where you can
indicate which persons or groups are talked about, one for context, and so
on. Then you will be able to ask which issues were raised in which
component of the article, which involved what people or groups, in what
contexts, were the issues treated the same way in the headlines and leads
as they were in the text, how did different papers treat the same issue -
or any other combinations and sequential explorations of any of these things.
Pat Bazeley.
Dr Patricia Bazeley
Head, Research Development Unit
University of Western Sydney Macarthur
PO Box 555 Campbelltown 2560
Australia
ph: +61 2 4620 3268
fax: +61 2 4627 2406
email: [log in to unmask]
http://btwebsh.macarthur.uws.edu.au/patB/
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