Journal of the Korean Data and Information Science Society
- Volume 17 Issue 2
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- Pages.529-536
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- 2006
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- 1598-9402(pISSN)
On Assessing Inter-observer Agreement Independent of Variables' Measuring Units
Abstract
Investigators use either Euclidean distance or volume of a simplex defined composed of data points as agreement index to measure chance-corrected agreement among observers for multivariate interval data. The agreement coefficient proposed by Um(2004) is based on a volume of a simplex and does not depend on the variables' measuring units. We consider a comparison of Um(2004)'s agreement coefficient with others based on two unit-free distance measures, Pearson distance and Mahalanobis distance. Comparison among them is made using hypothetical data set.