[R] OT: Predicted probabilities from ordinal regressions

[Frank E Harrell Jr]

Andrew Perrin wrote:
> Sorry if this is too off-topic, as we may not implement this in R 
> (although we may do so).
> 
> A student of mine is looking at some public opinion data in which there 
> appears to be a statistically significant difference between levels of 
> support for a proposal based on which of two question wordings is used. 
> That is, roughly half the sample was asked the question with wording 1, 
> the other half with wording 2, and the difference is large enough to be of 
> interest (approx. 6 percentage points different with an N of about 
> 30,000).
> 
> The question is how best to model this. In the past I have generated 
> predicted probabilities based on the sample asked wording 1, used these to 
> assign those asked wording 2 to predicted categories, and used a logistic 
> regression to predict difference between predicted and actual response. In 
> this case, though, the question of interest uses a four-level ordinal 
> response, so ordinary predicted probabilities based on, e.g., and ordinal 
> logistic regression generate literally probabilities of being in each of 
> the four categories. Transforming this outcome into a prediction of 
> membership in one of the given categories is not straightforward. Can 
> anyone provide some insight into how to model predicted vs. actual 
> outcomes on an ordinal scale?
> 
> Thanks.

With the lrm function in the Design package you can get predicted 
probabilities for each class as well as predicted mean scores.

Frank

> 
> ----------------------------------------------------------------------
> Andrew J Perrin - andrew_perrin (at) unc.edu - http://perrin.socsci.unc.edu
> Assistant Professor of Sociology; Book Review Editor, _Social Forces_
> University of North Carolina - CB#3210, Chapel Hill, NC 27599-3210 USA
> New Book: http://www.press.uchicago.edu/cgi-bin/hfs.cgi/00/178592.ctl
> 
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-- 
Frank E Harrell Jr   Professor and Chair           School of Medicine
                      Department of Biostatistics   Vanderbilt University