Implication, equivalence and agreement: Kappa coefficient as a measure of degree of equivalence

Title:

Implication, equivalence and agreement: Kappa coefficient as a measure of degree of equivalence

Creator:

Pokorny, Dan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:aff60b98-492f-4772-815d-57978e5cb1d8
uuid:aff60b98-492f-4772-815d-57978e5cb1d8

Subject:

kappa coefficient, agreement measures, equivalence, automated hypothesis formation, data mining, GUHA, and ASSOC

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The Cohen’s kappa coefficient is a widely accepted mecisure of agreement on categorical variables and has replaced some older simpler measures. Observational and statistical properties of the kappa coefficient in 2 x 2 tables are investigated. The asymmetrical measure “Cohenized implication” is proposed. The decomposition of the symmetrical measure kappa into two asymmetrical components is shown. These statistically motivated measures are discussed as weakened forms of strict logical notions of equivalence and implication. Applications of kappa and “Cohenized implication” are recommended; on the one hand in the medical research as a supplement to traditional measures of sensitivity and speciíity, on the other hand as quantifiers in the GUHA proceduře ASSOC as a statistically contemporary operationalization of the weakened equivalence.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2001 Volume:11 | Number:6

Harvested from:

CDK

Metadata only:

false