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Re: st: Interrater agreement: finding the problematic items


From   William Buchanan <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Interrater agreement: finding the problematic items
Date   Fri, 14 Jun 2013 08:31:55 -0700

I'm assuming that the reviewers were observing the same subject(s), so why not think of it as a hierarchical model where the subjects are level 1 units and you estimate a random intercept for each reviewer?  Then you could easily compute intraclass correlations to examine that variance.  

Just a thought,
Billy

Sent from my iPhone

On Jun 14, 2013, at 8:11, "Ilian, Henry (ACS)" <[email protected]> wrote:

> HI,
> 
> I'm doing an interrater agreement study on a case-reading instrument. There are five reviewers using an instrument with 120 items. The ratings scales are ordinal with either two, three or four options. I'm less interested in reviewer tendencies than I am in problematic items, those with high levels of disagreement.
> 
> Most of the interrater agreement/interrater reliability statistics look at reviewer tendencies. I can see two ways of getting at agreement on items. The first is to sum all the differences between all possible pairs of reviewers, and those with the highest totals are the ones to examine. The other is Chronbach's alpha. Is there any strong argument for or against either approach, and is there a different approach that would be better than these?
> 
> Thanks
> 
> Henry
> 
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