Príklady kappa

• Reliability between reviewers (regarding the decision to include or exclude an article) was calculated using kappa statistics.

• Unlike the observed agreement, the kappa statistic expresses the degree of agreement while correcting for agreement expected simply by chance (12).

• A one-sample t test was conducted to test whether the kappas were significantly different from zero.

• As a second method of validation, the kappa statistic was used to judge concordance between the cluster solution and teacher classification of the children.

• Similarly, for case definition, kappa scores are good for both instruments but the confidence intervals are wide, which could result in variable estimates of prevalence.

• A minimum kappa of 0.75 for rating the presence of psychotic and mood items is required of all interviewers trained in the programme.

• The kappa values of agreement were significantly greater than the zero at both distances.

• Agreement at the level of any anxiety or depressive disorder was also good (kappa=0.80).

• The kappa for inter-rater reliability was 0.84, indicating 88 % agreement between the blind diagnosis and the last hospital or primary diagnosis.

• Results of the test showed 89% agreement (kappa = 0.56) between the binary classifier and the human.

• A kappa statistic was calculated to measure agreement between the assessors.

• A proposed solution to the base rate problem in the kappa statistic.

• Both mu and kappa receptors are present in the neurons of the myenteric plexus of the stomach and proximal colon.

• These kappa values indicate low agreement among 1 2 subjects.

• Results of the test showed 85% agreement (kappa = 0.48) between the classifier and the human.