Hello, and thanks for replying once more!
Rich Ulrich wrote:
> - okay, those are unusual measures, which I don't know about. Then I
> went on to cite more specific questions from Marcus, which seemed to
> have answers that were more conventional; and which I tried to answer.
> I don't know anything about those measures of concentration, but that
> is what the question now seems to require.
As it appears, you are right in calling these measures 'unusual'. It is
very hard to find anything in the literature with regard to
sig./confidence intervals. The only two or three refs we got so far are
partly informative, partly confusing.
> > Now, I'm not well versed in log-linear models and setting up partitions
> > etc. How would I go about in setting a log-linear model that allows me
> > to test differences in concentration?
>
> What I can offer is the comment that, so far as I have ever seen,
> "That is not what you test in Log-linear models." If someone has
> figured how to do that, that would be exceedingly clever; I would like
> to see it.
This is reassuring to me, because I thought the same :-).
>
> Is this an application in communication/information theory? -- check
> those sources. Posting to sci.stat.math or another group might
> also be useful. The question was posted to sci.stat.edu and
> sci.stat.consult, which are groups that tend to have questions from
> biostatistics and the social sciences.
>
> The only examples that I have seen where "concentration" was used as
> a sociological variable were totally unconvincing. For instance,
> political organization in Italy (say) was presented as much more
> democratic than US, since there were numerous small parties instead of
> two big ones. Or maybe that was, "less democratic" -- there was no
> reason stated, for claiming the direction.
This application is in sociology, and you may be right again, it's not
wholly convincing so far. But we'll be only able to judge this when we
are through with this project...
I'll post a short summary with the few items I've got next week.
Regards, MQ
--
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Markus Quandt [EMAIL PROTECTED] | [EMAIL PROTECTED]
Institut f. Angewandte Sozialforschung der Universitaet zu Koeln
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