Document Detail


Separation of systematic and random differences in ordinal rating scales.
MedLine Citation:
PMID:  7701145     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We introduce a new statistical method, which separates and measures different types of variability between paired ordered categorical measurements. The key to the separation is a two-way augmented ranking approach of observations in a contingency table. It means that cases classified in a specific category by one rater will be internally ranked according to the classifications from the other. This enables us to extract the component of interobserver variation which is not systematic. The variance of the rank differences between judgements is a suitable measure of this interrater variability, which we characterize as random. The empirical measure of random interjudge disagreement, which lies between 0 and 1, is called the relative rank variance and is an estimate of a parameter defined on the multinomial probability distribution in the contingency table. The systematic differences are determined by the marginals and described by two empirical measures, relative position and relative concentration; both measures lie between -1 and 1. Our method is applied to data sets from a reliability study of two clinical rating scales for assessing hydrocephalus and subarachnoid haemorrhage.
Authors:
E Svensson; S Holm
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  13     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:    1994 Dec 15-30
Date Detail:
Created Date:  1995-05-03     Completed Date:  1995-05-03     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  2437-53     Citation Subset:  IM    
Affiliation:
Department of Mathematics, Chalmers University of Technology, Göteborg, Sweden.
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical*
Humans
Hydrocephalus / radiography
Observer Variation*
ROC Curve
Radiology / statistics & numerical data
Reproducibility of Results*
Severity of Illness Index
Statistics, Nonparametric*
Subarachnoid Hemorrhage / radiography
Tomography, X-Ray Computed

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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