Re: st: non-proportional odds and multilevel models

[Linda.Kampata@student.uib.no]

Thank you Colleen and jvverkuilen for your comments.

I have seen and read through Richard Williams website and documents on  
the gologit2 command. According to my read, it does deal with my  
problem only as a single level structure and not on a hierarchical  
structure which looks at two or more structure levels.

Any other suggestions are most welcome.
Thanks,
Linda


Quoting Colleen Nugent <cnugent@sociology.rutgers.edu>:

> 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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