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Re: st: non-proportional odds and multilevel models


From   Colleen Nugent <cnugent@sociology.rutgers.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: non-proportional odds and multilevel models
Date   Tue, 13 Nov 2012 07:50:31 -0500 (EST)

When the assumption of proportional odds is violated for ordinal dependent variables, you could use generalized ordered logistic regression (gologit2:  http://www.nd.edu/~rwilliam/gologit2/gologit2.pdf).  Here is another link with some resources:  http://www.nd.edu/~rwilliam/gologit2/  

I'm not sure whether or how it deals with multilevel models, but perhaps these links describe a solution.

----- Original Message -----
From: "Linda Kampata" <Linda.Kampata@student.uib.no>
To: statalist@hsphsun2.harvard.edu
Sent: Tuesday, November 13, 2012 2:52:48 AM
Subject: st: non-proportional odds and multilevel models

Hi,
Does stata have a model one can use for multilevel modelling for an  
ordinal dependant variable which does not hold for non-proportional  
assumptions. The non-proportional test results are significant  
(<0.001) under the omodel command. I have read on statalist as well as  
the Multilevel and Longitudinal Modeling Using Stata book and it does  
not spell it out clearly for me to understand.

What options do I have?

Can someone please recommend or help me.
Regards,
Linda
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