JSM 2005 Online Program

Abstract #303275

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	32
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #303275
Title:	Assessment on Agreement Studies Using Adjusted Kappa and Yule's Index
Author(s):	Jun-mo Nam*+
Companies:	National Cancer Institute
Address:	6120 Executive Boulevard, Rockville, MD, 20852, United States
Keywords:	Adjusted Kappa ; Yule's coefficient of colligation ; Validity studies ; Sensitivity ; Specificity
Abstract:	The chance corrected Cohen's kappa has been widely applied as a measure of agreement in assessing agreement between two raters. As its value is influenced by the prevalence and bias between raters, use of the kappa may not be sound unless the corresponding marginal frequencies are comparable. Instead, use of the prevalence-adjusted, bias-adjusted kappa is more appropriate for the comparisons. We present interval estimation of the adjusted kappa. Alternatively, Yule's Y statistic, which is less dependent on marginal frequencies, also may be applied as an index of agreement for comparisons. The Y value is greater than the adjusted kappa statistic. We investigate validity studies using adjusted kappa and Y. When one rating method is better than the other by both coefficients of agreement, we may confirm the result of findings. However, it is not easy to determine which is better if preference using the adjusted kappa differs from that using the Y index. This may occur when one rating method is better than the other in sensitivity but not specificity. In this case, we cannot decide preference unless the relative importance of sensitivity and specificity are given.

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