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RE: st: RE: Goodness of fit of ordered logit model
From
Cameron McIntosh <[email protected]>
To
STATA LIST <[email protected]>
Subject
RE: st: RE: Goodness of fit of ordered logit model
Date
Fri, 3 Feb 2012 21:36:46 -0500
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: [email protected]
> To: [email protected]
> 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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