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Guest
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Hi!
I have a data set with N=2000, and n=20 of those are fullfilling a
sufficient amount of criteria for diagnosis A (they have 5 or more out
of 8 symptoms). One can either have a symptom, be sub-threshold or not
have it. (i.e. 3 different scores)
The rest, 1980 persons, are having diagnosis B, C, D.... and H.
Now, there is some comorbidity and overlapping, that is; some of the
ones with diagnosis A, also have diagnosis G, some have diagnosis, D, E
and F, and so on.
Also, someone with diagnosis A usually have some of the criteria from
other diagnoses, but often not enough to have that diagnosis as well.
What I want to test, is if there is a latent taxon, that is a special
group, which can be measured with the 8 criteria thought to
operationalized Diagnosis A.
To do this, I have reliability-tested the criteria (cronbach=0.65),
done a factor analysis (found one or two factors), and checked for
comorbidity with other diagnoses (relatively common).
Now I want to check if these 8 criteria really constitute a taxon or
construct "out there in the real world".
Any ideas as to how to do this? |
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