JSM 2005 Online Program

Abstract #303381

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Activity Number:	513
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #303381
Title:	Coefficients of Agreement for Fixed Observers Measuring a Continuous Quantity
Author(s):	Michael Haber*+ and Huiman X. Barnhart
Companies:	Emory University and Duke University
Address:	Department of Biostatistics, Atlanta, GA, 30322,
Keywords:	Observer agreement ; Intraclass correlation coefficient ; Concordance correlation coefficient ; Analysis of variance ; Relational agreement
Abstract:	The commonly used coefficients for evaluation of agreement between fixed observers making continuous measurements are versions of the intraclass correlation coefficient (ICC). ICCs are defined in terms of a mixed, two-way ANOVA model that makes assumptions that, in our opinion, are not appropriate for fixed observers. For example, the ANOVA model assumes homogeneity of the correlations between all pairs of observers. Another popular index of agreement, the concordance correlation coefficient (CCC), is defined without the ANOVA assumptions. The CCC compares the average mean-squared deviation between pairs of observers to its expected value under "chance agreement," where chance agreement assumes independence between observers. We present a class of relational agreement coefficients that do not make the ANOVA assumptions and include versions of ICCs and the CCC as special cases. The concept of relational agreement has been presented in the psychological literature and is relatively unknown in the statistical literature. We also present an alternative approach to defining agreement coefficients, which does not involve the concept of chance agreement.

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