Did you check out the CATREG and CATPCA procedures in the SPSS
CATEGORIES. The people at Leiden designed it. I haven't had a chance
to try it myself, but have heard noting but positive things about it.
*IFF* I understand correctly, you can have it test differences for fit
using nominal, ordinal, and interval assumptions.
Art Kendall
Social Research Consultants
Peter Flom wrote:
I would be interested in any references anyone can supply on ordinal
trees, either alone or in combination with ordinal logistic regression.
Here is a brief outline of what I am trying to do:
We have a DV that is ordinal - level of dementia in the elderly. In
our data set, it has six levels, with more people in the middle levels
than the extreme ones. Total N is about 1,000. We have a great many
potential IVs (almost 2000) but many of these are highly correlated,
and some are more likely to be related to the DV than others. I've
done a lot of data reduction, getting it down to about 100 IVs.
The problem is that the relationship between the DV and the IVs is
different at different levels of the DV. For instance, some IVs are
similar at DV = 1, 2, or 3 but then jump and are similar at 4,5, or
6. Others show different patterns.
I've tried a few different things. One that seems to show promise is
first doing a tree of 1,2,3 vs. 4,5,6 then doing trees among 1,2,3 and
4,5,6 separately. But this is problematic because the first tree,
while it works fairly well, does not work nearly perfectly.
I am using CART for the tree analysis, and have SAS and R for other
statistical analyses.
So, before I reinvent the wheel, I wanted to ask if anyone has seen
something like this before.
Thanks in advance
Peter
Peter L. Flom, PhD
Brainscope, Inc.
212 263 7863 (MTW)
212 845 4485 (Th)
917 488 7176 (F)
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