Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
| 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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/