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RE: st: Kappa Weights


From   "Jackson, Theron Keith (UMSL-Student)" <tkjgx2@umsl.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Kappa Weights
Date   Wed, 4 Nov 2009 09:52:02 -0600

Ronan Conroy and others,
 
The drug test has only one rating (True Positives).  Due to the large majority of the sample being (True Negatives) the Kappa will be biased (Bishop et al., 1975; Magura et al, 1987; Magura et al, 1996; Sherman et al., 1992; Patton, et al., 2005).  
 
"A more appropriate indicator of agreement between self-reports and urinalysis for most of the studies reviewed is a conditional kappa coefficient...The self-reports of subjects with negative urinalyses are ignored in the computation of conditional Kappa." (Magura et al., 1987 p. 734).
 
It appears to me that there is no direct way to compute conditional kappa; however, I should be able to weight kappa so that those who test positive are given all the weight of the sample.
 
Theron

 

 



Are you telling us that you have only three participants? Then the 
advice is to get more.

Or are you telling us that the drug test has only one rating 
(positive) because it is correct? In this case, your whole sample is 
made up of true positives. In a case like this, kappa is 
inappropriate. The level of agreement reduces to the proportion of 
self-reports (rating 2) which are positive.



Ronan Conroy

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