RE: st: RE: Goodness of fit of ordered logit model

[Cameron McIntosh <cnm100@hotmail.com>]

More generally, it would also be helpful to see:
Ananth, C., & Kleinbaum, D. (1997). Regression models for ordinal responses: a review of methods and applications. International Journal of Epidemiology, 26, 1323-1233.

Liu, I. & Agresti, A. (2005).The analysis of ordered categorical data: An overview and a survey of recent developments. TEST, 14, 1-73.http://petra.euitio.uniovi.es/~i1770184/Archivos/t141/Test_agresti.pdf
Fullerton, A.S. (2009). A conceptual framework for ordered logistic regression models. Sociological Methods & Research, 38(2), 306-347.
Sankaran, P.G., & Jayakumar, K. (2008). On proportional odds models. Statistical Papers, 49(4), 779-789. 

Lipsitz S.R., Fitzmaurice G.M. & Molenberghs G. (1996). Goodness-of-Fit tests for ordinal response regression models. Applied Statistics, 45(2), 175-190.

O'Connell, A.A. (Ed.). (2006). Logistic regression models for ordinal response variables. Quantitative Applications in the Social Sciences, no. 146. Thousand Oaks, CA: Sage.

I would suspect that your pure proportional odds model won't fit well... in which case you would need to consider other options, such as a partial POM or continuation ratio model, which are also discussed in some of the refs above. 

Cam 

> From: Eleimon2.Gonis@uwe.ac.uk
> To: statalist@hsphsun2.harvard.edu
> Date: Fri, 3 Feb 2012 12:17:28 +0000
> Subject: st: RE: Goodness of fit of ordered logit model
> 
> Dear Urmi,
> 
> The "spost9" collection of ado files by Scott Long and Jeremy Freese (http://www.indiana.edu/~jslsoc/spost.htm) includes a command (fitstat) that provides you with a variety of goodness of fit statistics.
> Also, the "epcp" routine by Chris Lawrence (http://www.cnlawrence.com/research/data) will provide you with the equivalent of SPPS's classification table.
> 
> Eleimon
> 
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