Computing inter-rater reliability and its variance in the presence of high agreement.
@article{Gwet2008ComputingIR,
title={Computing inter-rater reliability and its variance in the presence of high agreement.},
author={Kilem L. Gwet},
journal={The British journal of mathematical and statistical psychology},
year={2008},
volume={61 Pt 1},
pages={
29-48
}
}Pi (pi) and kappa (kappa) statistics are widely used in the areas of psychiatry and psychological testing to compute the extent of agreement between raters on nominally scaled data. It is a fact that these coefficients occasionally yield unexpected results in situations known as the paradoxes of kappa. This paper explores the origin of these limitations, and introduces an alternative and more stable agreement coefficient referred to as the AC1 coefficient. Also proposed are new variance…
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