| Date: | Thu, 14 May 1998 12:24:11 +0200 |
| Reply-To: | Arnold Kester <Arnold.Kester@STAT.UNIMAAS.NL> |
| Sender: | "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU> |
| From: | Arnold Kester <Arnold.Kester@STAT.UNIMAAS.NL> |
| Organization: | Universiteit Maastricht |
| Subject: | Re: ROC curves for yes/no response |
|---|
In <s5581ded.032@harthosp.org>, on 05/12/98
at 10:00 AM, Jeff Mather <Jmather@HARTHOSP.ORG> said:
>This is a bit off the SPSS path, but can anyone tell me if there is any
>way to use a nominal response to draw an ROC curve? I'd like to compare
>ultra-brief (one question) instruments for a diagnosis of depression (yes
>or no) with standard questionnaire that uses a cutoff on an interval
>scale.
>My assumption was that this could not be done with a y/n response; that
>you need at least a three point ordinal scale (ie. always, sometimes,
>never) to be able to draw the curve.
>thanks
Right. Essentially what you get from a y/n test is just one point in the
true pos vs false pos ROC plot. With a three point scale you get two
points. Doesn't really make a curve.
ROC techniques are designed to quantify, for continuous or multi-category
test scales, how good it discriminates between two groups. That is, you
need a dichotomous reference or gold standard to compare to. If your
dichotomized standard is in fact the definition of depression, you can use
ROC curves in principle. With a dichotomous test however that doesn't add
anything beyond your sensitivity and specificity.
Hope this helps,
--
Arnold Kester
Arnold.Kester@stat.unimaas.nl
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