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st: How to compare models after svy


From   Orian Brook <ob11@st-andrews.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: How to compare models after svy
Date   Tue, 21 May 2013 12:52:13 +0100

Hi all

I'm hoping for advice on comparing models after using -svy: logit-, as the
postestimation commands normally used after logit don't work. 

I had been working without using the - svy - prefix as I'm controlling for
most of the criteria that were used in sampling, and in early iterations of
the model the results were very similar. With my final model version, the
results given by using or not using -svy - are still similar, but the
independent variables I'm interested in are slightly more significant and
with slightly stronger effect sizes, so I'm in favour of using the prefix!
However, in my final version I'm using two interactions (both
categorical-categorical), where not all the interaction effects are
significant. With -svy- I can compare the change in deviance to the change
in degrees of freedom to confirm that the model with interactions is a
better fit. Again, using the -svy- prefix, not all of the interaction
effects are significant and I want to check whether overall the model with
interactions is a better fit, but I'm not given the log likelihood or
deviance statistic. I'm given an f-test but I thought this was only
appropriate for a least squares model?

Thanks all

Orian

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