Home > Research > Publications & Outputs > When coders are reliable: the application of th...

Associated organisational unit

View graph of relations

When coders are reliable: the application of three measures to assess inter-rater reliability/agreement with doctor-patient communication data coded with the VR-CoDES.

Research output: Contribution to journalJournal article

Published
Close
<mark>Journal publication date</mark>03/2011
<mark>Journal</mark>Patient Education and Counseling
Issue number3
Volume82
Number of pages5
Pages (from-to)341-345
Publication statusPublished
Original languageEnglish

Abstract

Objective
To investigate whether different measures of inter-rater reliability will compute similar estimates with nominal data commonly encountered in communication studies. To make recommendations how reliability should be computed and described for communication coding instruments.

Methods
The raw data from an inter-rater study with three coders were analysed with; Cohen's κ, sensitivity and specificity measures, Fleiss's multirater κj, and an intraclass correlation coefficient (ICC).

Results
Minor differences were found between Cohen's κ and an ICC model across paired data (largest margin = 0.01). There were negligible differences between the multirater estimates e.g. κj (0.52) and ICC (0.53). Sensitivity analyses were in general agreement with the multirater estimates.

Conclusion
It is more practical to analyse nominal data with >2 raters with an appropriate model ICC for inter-rater studies, and little difference exists between Cohen's κ or an ICC.

Practice implication
Alternatives to Cohen's κ are readily available, but researchers need to be aware of the different ICC definitions. An ICC model should be fully described in reports. Investigators are encouraged to supply confidence limits with inter-rater data, and to revisit guidance regarding the relative strengths of agreement of reliability coefficients.