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A Measure of Agreement for Multivariate Interval Observations by Different Sets of Raters
엄용환 한국데이터정보과학회 2004 한국데이터정보과학회지 Vol.15 No.4
A new agreement measure for multivariate interval data by different sets of raters is proposed. The proposed approach builds on Um's multivariate extension of Cohen's kappa. The proposed measure is compared with corresponding earlier measures based on Berry and Mielke's approach and Janson and Olsson approach, respectively. Application of the proposed measure is exemplified using hypothetical data set.
A Joint Agreement Measure Between Multiple Raters and One Standard
엄용환 한국데이터정보과학회 2005 한국데이터정보과학회지 Vol.16 No.3
This article addresses the problem of measuring a joint agreement between multiple raters and a standard set of responses. A new agreement measure based on Um's approach is proposed. The proposed agreement measure is used for multivariate interval responses. Comparison is made between the proposed measure and other corresponding agreement measures using hypothetical data set.
A Joint Agreement Measure Between Multiple Raters and One Standard
Um, Yong-Hwan The Korean Data and Information Science Society 2005 한국데이터정보과학회지 Vol.16 No.3
This article addresses the problem of measuring a joint agreement between multiple raters and a standard set of responses. A new agreement measure based on Um's approach is proposed. The proposed agreement measure is used for multivariate interval responses. Comparison is made between the proposed measure and other corresponding agreement measures using hypothetical data set.
A Measure of Agreement for Multivariate Interval Observations by Different Sets of Raters
Um, Yong-Hwan Korean Data and Information Science Society 2004 한국데이터정보과학회지 Vol.15 No.4
A new agreement measure for multivariate interval data by different sets of raters is proposed. The proposed approach builds on Um's multivariate extension of Cohen's kappa. The proposed measure is compared with corresponding earlier measures based on Berry and Mielke's approach and Janson and Olsson approach, respectively. Application of the proposed measure is exemplified using hypothetical data set.