Abstract
At least a dozen indexes have been proposed for measuring agreement between two judges on a categorical scale. Using the binary (positive-negative) case as a model, this paper presents and critically evaluates some of these proposed measures. The importance of correcting for chance-expected agreement is emphasized, and identities with intraclass correlation coefficients are pointed out.
Keywords
Categorical variableIntraclass correlationTraitStatisticsAgreementCorrelationDozenMathematicsPsychologyBinary numberEconometricsComputer sciencePsychometricsArithmeticPhilosophy
Related Publications
Systems for grading the quality of evidence and the strength of recommendations II: Pilot study of a new system
Abstract Background Systems that are used by different organisations to grade the quality of evidence and the strength of recommendations vary. They have different strengths and...
Reproducibility and responsiveness of quality of life assessment and six minute walk test in elderly heart failure patients
Objective To examine the reproducibility and responsiveness to change of a six minute walk test and a quality of life measure in elderly patients with heart failure. Design Long...
Publication Info
- Year
- 1975
- Type
- article
- Volume
- 31
- Issue
- 3
- Pages
- 651-651
- Citations
- 504
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
504
OpenAlex
Cite This
Joseph L. Fleiss
(1975).
Measuring Agreement between Two Judges on the Presence or Absence of a Trait.
Biometrics
, 31
(3)
, 651-651.
https://doi.org/10.2307/2529549
Identifiers
- DOI
- 10.2307/2529549