Gwet's Agreement Coefficient
Cross-source consensus on Gwet's Agreement Coefficient from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Comparisons
Highlighted claims
- Gwet's AC was selected over Cohen's and Fleiss' kappa because it avoids the kappa paradox, in which high observed agreement can paradoxically yield low kappa values when item prevalence is skewed. — Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studies
- Gwet's AC1 was applied to questions with Not Applicable options (nominal data), and Gwet's AC2 with linear weighting was applied to all remaining questions and the overall judgement (ordinal data). — Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studies
- The kappa paradox was starkly demonstrated for Question 7a, where 96.4% observed agreement after option collapsing yielded a Gwet's AC of 0.96 but a Fleiss' kappa of −0.02, implying agreement worse than chance. — Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studies
- Agreement benchmarks followed Landis and Koch's categories interpreted via 95% cumulative probability, providing more conservative interpretations than simply mapping a point estimate to a band. — Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studies