Literature DB >> 29881035

Double Entropy Inter-Rater Agreement Indices.

Andriy Olenko1, Vitaliy Tsyganok2.   

Abstract

The proper application of the most frequently used inter-rater agreement indices can be problematic for the case of a single target, for example, a psychotherapy patient, a student's thesis, a grant proposal, and the lifestyle in a country. The majority of indices that can handle this case assess either the deviation of ranks from some central/average value or the pattern of ranks' distribution. Contrary to other approaches, this article defines disagreement rating results using the unpredictability/complexity of scores. The article discusses alternative entropy methods for measuring inter-rater agreement or consensus in survey responses for the case of a single target. A new inter-rater agreement index is proposed. Comparisons between this index and the known inter-rater agreement measures show some limitations of the most frequently used indices. Various important methodological issues such as disagreement assumptions, average sensitivity, adjustments to deal with outliers, and missing or incorrectly recorded data are discussed. Examples of applications to actual data are presented.

Entities:  

Keywords:  agreement index; average sensitivity; psychological statistics; similarity measure

Year:  2015        PMID: 29881035      PMCID: PMC5978530          DOI: 10.1177/0146621615592718

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  4 in total

1.  A new method for assessing interexaminer agreement when multiple ratings are made on a single subject: applications to the assessment of neuropsychiatric symtomatology.

Authors:  D V Cicchetti; D Showalter; R Rosenheck
Journal:  Psychiatry Res       Date:  1997-08-29       Impact factor: 3.222

2.  A comparison model for measuring individual agreement.

Authors:  Lawrence Lin; A S Hedayat; Yuqing Tang
Journal:  J Biopharm Stat       Date:  2013-03-11       Impact factor: 1.051

3.  Assessment of reliability in the clinical evaluation of depressive symptoms among multiple investigators in a multicenter clinical trial.

Authors:  E Baca-García; C Blanco; J Sáiz-Ruiz; F Rico; C Diaz-Sastre; D V Cicchetti
Journal:  Psychiatry Res       Date:  2001-06-01       Impact factor: 3.222

4.  Evaluating the reliability of multiple assessments of PTSD symptomatology: multiple examiners, one patient.

Authors:  Domenic Cicchetti; Alan Fontana; Donald Showalter
Journal:  Psychiatry Res       Date:  2009-03-17       Impact factor: 3.222

  4 in total

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