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

Zapf, Antonia; Castell, Stefanie; Morawietz, Lars; Karch, André

dc.contributor.author	Zapf, Antonia
dc.contributor.author	Castell, Stefanie
dc.contributor.author	Morawietz, Lars
dc.contributor.author	Karch, André
dc.date.accessioned	2016-10-07T10:52:37Z
dc.date.available	2016-10-07T10:52:37Z
dc.date.issued	2016
dc.identifier.citation	Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate? 2016, 16:93 BMC Med Res Methodol	en
dc.identifier.issn	1471-2288
dc.identifier.pmid	27495131
dc.identifier.doi	10.1186/s12874-016-0200-9
dc.identifier.uri	http://hdl.handle.net/10033/620542
dc.description.abstract	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 categories. Our aim was to investigate which measures and which confidence intervals provide the best statistical properties for the assessment of inter-rater reliability in different situations.
dc.language.iso	en	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.title	Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?	en
dc.type	Article	en
dc.contributor.department	Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.	en
dc.identifier.journal	BMC medical research methodology	en
refterms.dateFOA	2018-06-13T00:17:35Z
html.description.abstract	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 categories. Our aim was to investigate which measures and which confidence intervals provide the best statistical properties for the assessment of inter-rater reliability in different situations.