Ramifications of a population model for \(\kappa\) as a coefficient of reliability
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Publication:1135606
DOI10.1007/BF02296208zbMath0425.62088MaRDI QIDQ1135606
Publication date: 1979
Published in: Psychometrika (Search for Journal in Brave)
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A family of multi-rater kappas that can always be increased and decreased by combining categories ⋮ The effect of combining categories on Bennett, Alpert and Goldstein's \(S\) ⋮ Equivalences of weighted kappas for multiple raters ⋮ A formal proof of a paradox associated with Cohen's kappa ⋮ Sample size requirements for interval estimation of the intraclass kappa statistic ⋮ A new interpretation of the weighted kappa coefficients ⋮ Assessing interrater agreement on binary measurements via intraclass odds ratio ⋮ Statistical inference of agreement coefficient between two raters with binary outcomes ⋮ Kappa statistic for clustered physician-patients polytomous data ⋮ Assessing inter- and intra-agreement for dependent binary data: a Bayesian hierarchical correlation approach ⋮ Inequalities between multi-rater kappas ⋮ Estimators of kappa-exact small sample properties ⋮ Chance-corrected measures for 2 × 2 tables that coincide with weighted kappa ⋮ Cohen's kappa can always be increased and decreased by combining categories ⋮ Statistical description of interrater variability in ordinal ratings ⋮ Chance-corrected measures of reliability and validity in K K tables ⋮ Assessing the reliability of ordered categorical scales using kappa-type statistics ⋮ Cohen's kappa is a weighted average ⋮ A Kraemer-type rescaling that transforms the odds ratio into the weighted kappa coefficient ⋮ Cohen's linearly weighted kappa is a weighted average of \(2\times 2\) kappas ⋮ Kappa coefficients for dichotomous-nominal classifications ⋮ A bootstrap method for comparing correlated kappa coefficients ⋮ Estimating multiple rater agreement for a rare diagnosis ⋮ An alternative interpretation of the linearly weighted kappa coefficients for ordinal data ⋮ Fixed-Effects Modeling of Cohen's Kappa for Bivariate Multinomial Data ⋮ Agreement between two independent groups of raters ⋮ On population‐based measures of agreement for binary classifications ⋮ Correlation coefficients in medical research: from product moment correlation to the odds ratio
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