Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability

This study examined a historical mixture model approach to the evaluation of ratings made in “gold standard” and two-rater 2×2 contingency tables. Peirce's i and the derived i average were discussed in relation to a widely used index of reliability in the behavioral sciences, Cohen's κ....

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Main Authors: Beau Abar, Eric Loken
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2010/480364
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author Beau Abar
Eric Loken
author_facet Beau Abar
Eric Loken
author_sort Beau Abar
collection DOAJ
description This study examined a historical mixture model approach to the evaluation of ratings made in “gold standard” and two-rater 2×2 contingency tables. Peirce's i and the derived i average were discussed in relation to a widely used index of reliability in the behavioral sciences, Cohen's κ. Sample size, population base rate of occurrence, the true “science of the method”, and guessing rates were manipulated across simulations. In “gold standard” situations, Peirce's i tended to recover the true reliability of ratings as well as better than κ. In two-rater situations, iave tended to recover the true reliability as well as better than κ in most situations. The empirical utility and potential theoretical benefits of mixture model methods in estimating reliability are discussed, as are the associations between the i statistics and other modern mixture model approaches.
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institution Kabale University
issn 1687-952X
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language English
publishDate 2010-01-01
publisher Wiley
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series Journal of Probability and Statistics
spelling doaj-art-23b03a4f3a3b4109a92defb66c1a8a252025-02-03T01:11:09ZengWileyJournal of Probability and Statistics1687-952X1687-95382010-01-01201010.1155/2010/480364480364Peirce's i and Cohen's κ for 2×2 Measures of Rater ReliabilityBeau Abar0Eric Loken1Departement of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USADepartement of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USAThis study examined a historical mixture model approach to the evaluation of ratings made in “gold standard” and two-rater 2×2 contingency tables. Peirce's i and the derived i average were discussed in relation to a widely used index of reliability in the behavioral sciences, Cohen's κ. Sample size, population base rate of occurrence, the true “science of the method”, and guessing rates were manipulated across simulations. In “gold standard” situations, Peirce's i tended to recover the true reliability of ratings as well as better than κ. In two-rater situations, iave tended to recover the true reliability as well as better than κ in most situations. The empirical utility and potential theoretical benefits of mixture model methods in estimating reliability are discussed, as are the associations between the i statistics and other modern mixture model approaches.http://dx.doi.org/10.1155/2010/480364
spellingShingle Beau Abar
Eric Loken
Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
Journal of Probability and Statistics
title Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
title_full Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
title_fullStr Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
title_full_unstemmed Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
title_short Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability
title_sort peirce s i and cohen s κ for 2 2 measures of rater reliability
url http://dx.doi.org/10.1155/2010/480364
work_keys_str_mv AT beauabar peircesiandcohenskfor22measuresofraterreliability
AT ericloken peircesiandcohenskfor22measuresofraterreliability