title: Delta: a new measure of agreement between two raters.
abstract: The most common measure of agreement for categorical data is the coefficient kappa. However, kappa performs poorly when the marginal distributions are very asymmetric, it is not easy to interpret, and its definition is based on hypothesis of independence of the responses (which is more restrictive than the hypothesis that kappa has a value of zero). This paper defines a new measure of agreement, delta, 'the proportion of agreements that are not due to chance', which comes from model of multiple-choice tests and does not have the previous limitations. The paper shows that kappa and delta generally take very similar values, except when the marginal distributions are strongly unbalanced. The case of the 2 x 2 tables (which admits very simple solutions) is considered in detail.
authors.affiliation: Facultad de Medicina, Universidad de Granada, Spain. amartina@ugr.es
authors.forename: A Martín
authors.initials: AM
authors.lastname: Andrés
authors.forename: P Femia
authors.initials: PF
authors.lastname: Marzo
mesh_terms: D006801:Humans; D015233:Models, Statistical; D015588:Observer Variation; D011584:Psychology / Q000706:statistics & numerical data*