Re: [R] Multilevel analysis for ordinal responses

Thanks for your prompt responses. I will look at the readings you sugggest. One quick question, sampling weights can be applied in clmm2? Thank you, Wander -- View this message in context: http://r.789695.n4.nabble.com/Multilevel-analysis-for-ordinal-responses-tp4686057p4686125.html Sent from

Re: [R] Multilevel analysis for ordinal responses

I forgot to add. How can I estimate cluster-robust standard errors and 95% confidence intervals for odds ratios? Thank you, Wander -- View this message in context: http://r.789695.n4.nabble.com/Multilevel-analysis-for-ordinal-responses-tp4686057p4686127.html Sent from the R help mailing list

Re: [R] Multilevel analysis for ordinal responses

-project.org] On Behalf Of shkingdom Sent: Saturday, 1 March 2014 11:57 To: r-help@r-project.org Subject: [R] Multilevel analysis for ordinal responses Dear all, I need to fit a multielvel model for an ordinal response. Does R have a command for conducting a multilevel ordinal logistic regression when

Re: [R] Multilevel analysis for ordinal responses

Yes; see clm and clmm2 (mixed effects) in the ordinal package for fitting proportional odds models. See section 3 of http://cran.r-project.org/web/packages/ordinal/vignettes/clm_tutorial.pdf to see how to test the proportional odds assumption with clm - it is equivalent for clmm2 models. For an

[R] Multilevel analysis for ordinal responses

Dear all, I need to fit a multielvel model for an ordinal response. Does R have a command for conducting a multilevel ordinal logistic regression when the model violates the parallel regression or proportional odds assumption? Additionally, are there any tests to check the parallel regression