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

2.50
Hdl Handle:
http://hdl.handle.net/10033/620542
Title:
Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?
Authors:
Zapf, Antonia; Castell, Stefanie; Morawietz, Lars; Karch, André ( 0000-0003-3014-8543 )
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.
Affiliation:
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Citation:
Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate? 2016, 16:93 BMC Med Res Methodol
Journal:
BMC medical research methodology
Issue Date:
2016
URI:
http://hdl.handle.net/10033/620542
DOI:
10.1186/s12874-016-0200-9
PubMed ID:
27495131
Type:
Article
Language:
en
ISSN:
1471-2288
Appears in Collections:
Publications of the AG (ESME)

Full metadata record

DC FieldValue Language
dc.contributor.authorZapf, Antoniaen
dc.contributor.authorCastell, Stefanieen
dc.contributor.authorMorawietz, Larsen
dc.contributor.authorKarch, Andréen
dc.date.accessioned2016-10-07T10:52:37Z-
dc.date.available2016-10-07T10:52:37Z-
dc.date.issued2016-
dc.identifier.citationMeasuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate? 2016, 16:93 BMC Med Res Methodolen
dc.identifier.issn1471-2288-
dc.identifier.pmid27495131-
dc.identifier.doi10.1186/s12874-016-0200-9-
dc.identifier.urihttp://hdl.handle.net/10033/620542-
dc.description.abstractReliability 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.en
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleMeasuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?en
dc.typeArticleen
dc.contributor.departmentHelmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.en
dc.identifier.journalBMC medical research methodologyen

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