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

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Authors
Zapf, Antonia
Castell, Stefanie
Morawietz, Lars
Karch, André
Issue Date
2016

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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.
Citation
Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate? 2016, 16:93 BMC Med Res Methodol
Affiliation
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Journal
BMC medical research methodology
URI
http://hdl.handle.net/10033/620542
DOI
10.1186/s12874-016-0200-9
PubMed ID
27495131
Type
Article
Language
en
ISSN
1471-2288
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http://creativecommons.org/licenses/by-nc-sa/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/4.0/