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Multi-rater delta: extending the delta nominal measure of agreement between two raters to many raters.

Authors :
Andrés, A. Martín
Hernández, M. Álvarez
Source :
Journal of Statistical Computation & Simulation. Jun2022, Vol. 92 Issue 9, p1877-1897. 21p.
Publication Year :
2022

Abstract

The need to measure the degree of agreement among R raters who independently classify n subjects within K nominal categories is frequent in many scientific areas. The most popular measures are Cohen's kappa (R = 2), Fleiss' kappa, Conger's kappa and Hubert's kappa (R ≥ 2) coefficients, which have several limitations. In 2004, the delta coefficient was defined for the case of R = 2, which did not have the limitations of Cohen's kappa coefficient. This article extends the coefficient delta from R = 2 raters to R ≥ 2 (coefficient multi-rater delta), demonstrating that it can be expressed in the kappa format and has the same advantages as the coefficient delta with regard to the type kappa classic coefficients: (i) it refers to the proportion of replies that are concordant not by chance; (ii) allow to obtain a parameter that faithfully measures the degree of agreement in each category; and (iii) it is not affected by the marginal imbalance. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*MEASUREMENT

Details

Language :
English
ISSN :
00949655
Volume :
92
Issue :
9
Database :
Academic Search Index
Journal :
Journal of Statistical Computation & Simulation
Publication Type :
Academic Journal
Accession number :
157155715
Full Text :
https://doi.org/10.1080/00949655.2021.2013485