Measuring inter-rater reliability for nominal data – which coefficients and confidence intervals are appropriate?

Measuring inter-rater reliability for nominal data – which coefficients and confidence intervals are appropriate?

Abstract Background Reliability of measurements is a prerequisite of medical research. For nominal data, Fleiss’ kappa (in the following labelled as Fleiss’ K) and Krippendorff’s alpha provide the highest flexibility of the available reliability measures with respect to number of raters and categori...

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Bibliographic Details
Main Authors: Antonia Zapf, Stefanie Castell, Lars Morawietz, André Karch
Format: Article
Language:English
Published: BMC 2016-08-01
Series:BMC Medical Research Methodology
Subjects:
Inter-rater heterogeneity
Fleiss’ kappa
Fleiss’ K
Krippendorff’s alpha
Bootstrap
Confidence interval
Online Access:http://link.springer.com/article/10.1186/s12874-016-0200-9

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http://link.springer.com/article/10.1186/s12874-016-0200-9

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