Lin's concordance correlation coefficient which is not model based, is very
similar to model-
based procedures discussed in the Shrout and Fleiss article.  Lin does
provide an excellent
discussion of the failings of t-tests and the use of the ordinary
correlation coefficient in
such settings.  However in most settings I would advocate the use of
model-based approaches such as those proposed by Shrout and Fleiss, over
the method that Lin has proposed.

Another useful reference in this context, is the article

Altman, DG, and Bland, JM. (1983) "Measurement in medicine:  the analysis
of
method comparison studies", The Statistician, 32: 307-317.

I have never  heard of the Bradley-Blackwood procedure.  Do you have
a reference for it?

Shrout, P.E., and Fleiss, J.L "Intraclass
correlations: uses in assessing rater
reliability," Psychological Bulletin, 1979,
86, 420-428.

SR Millis wrote:

> Rich Ulrich wrote:
> > For contrasting 2 raters, I like using a paired t-test and the
> > corresponding interclass correlation.  That shows you both
> > the main pieces of information, without confusing them or
> > confounding them at all.  You get r  to measure parallelism;
> > you get t  to measure  mean-difference.
>
> Lin has discussed the shortcomings of the t-test for assessing
> concordance between raters (Biometrics, 1989, 45, 255-268). Among other
> things, the paired t-test fails to detect poor agreement in pairs of
> data such as (1,3)(2,3)(3,3)(4,3)(5,3).
>
> Pearson correlation coefficient can be a good starting point for
> detecting lack of agreement. But, a high r doesn't necessarily indicate
> agreement. As a follow-up, Lin's concordance correlation coefficient or
> the Bradley-Blackwood procedure can be useful supplements.
>
> SR Millis
> .
> .
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--
Roy St. Laurent
Mathematics & Statistics
Northern Arizona University
http//odin.math.nau.edu/~rts


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