Leifeld at coll.mpg.de
Thu Oct 13 12:32:01 CEST 2011
What you are describing sounds like an interesting application -- as
long as you have text data containing the claims and frames of those
political, expert and public actors. Methodology-wise, I don't see a
difference between political conflicts and the claims made by actors
concerned with your homicide incident.
In my EJPR article with Sebastian Haunss, we did actually code for
claims or frames of political actors. So you might want to take a look
at that article. You can find a link to the article on my homepage.
You could easily give it a try by importing a couple of text documents
(they shouldn't be too long; otherwise subdivide them if DNA gets too
slow) and coding for the claims and frames of several actors. Try to
find categories of the same kind that are mutually as exclusive as
possible. You don't have to make use of the yes/no agreement variable if
you don't need it for your purpose. You can develop the set of
categories inductively while coding if there is no predefined set of
claims. Then export everything to a network file and open it in a
network analysis package. Exporting the network to a graphML file and
opening this file in visone works best. But you could also export it to
a CSV file and employ conventional statistical packages in order to
conduct a factor analysis or cluster the actors by similar claims, or
the claims by their actor overlap...
Please feel free to post more specific questions, or give us an update
once you have analyzed some data. Good luck!
Am 12.10.2011 22:20, schrieb Tarra Jackson:
> I am wondering if DNA is applicable to statements that do not necessarily
> reflect a political conflict or pro/con opinion about a particular policy
> debate. In other words, can this method be applied to understanding what
> claims and frames are being made say, about a homicide incident by both
> political and expert and public actors?
> thank you.
> DNA-help mailing list
> DNA-help at philipleifeld.de
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