Thumbnail Image
Publication

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

Zapf, Antonia
; 
Castell, Stefanie
; 
Morawietz, Lars
; 
Karch, André
Citations
Altmetric:
Advisors
Editors
Other Contributors
Issue Date
2016
Submitted date
Show all metadata
Files
Thumbnail Image
Open Access publication
Adobe PDF, 1.02 MB
Other Titles
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.
Publisher
Journal
BMC medical research methodology
URI
http://hdl.handle.net/10033/620542
DOI
10.1186/s12874-016-0200-9
PubMed ID
27495131
PubMed Central ID
Additional Links
Embedded video
Type
Article
Language
en
Description
Series/Report no.
ISSN
1471-2288
EISSN
ISBN
ISMN
Gov't Doc #
Sponsors
License
Collections
Publications of the AG (ESME)