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Interrater Agreement Reconsidered: An Alternative to the r_(wg) Indices

机译:重新考虑了评估者间协议:r_(wg)指标的替代方法

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摘要

For continuous constructs, the most frequently used index of interrater agreement (r_(wg(1))) can be problematic. Typically, r_(wg(1)) is estimated with the assumption that a uniform distribution represents no agreement. The authors review the limitations of this uniform null r_(wg(1)) index and discuss alternative methods for measuring interrater agreement. Anew interrater agreement statistic, a_(wg(1)), is proposed. The authors derive the a_(wg(1)) statistic and demonstrate that a_(wg(1)) is an analogue to Cohen's kappa, an interrater agreement index for nominal data. A comparison is made between agreement estimates based on the uniform r_(wg(1)) and a_(wg(1)), and issues such as minimum sample size and practical significance levels are discussed. The authors close with recommendations regarding the use of r_(wg(1))/r_(wg(J)) when a uniform null is assumed, r_(wg(1))/r_(wg(J)) indices that do not assume a uniform null, a_(wg(1))/ a_(wg(J)) indices, and generalizability estimates of interrater agreement.
机译:对于连续构造,最常用的索引之间的一致性索引(r_(wg(1)))可能会出现问题。通常,r_(wg(1))是在假设均匀分布不表示一致的前提下估算的。作者回顾了这种统一的零值r_(wg(1))索引的局限性,并讨论了测量间界一致性的替代方法。提出了新的跨界协议统计a_(wg(1))。作者推导了a_(wg(1))统计数据,并证明a_(wg(1))与Cohen的kappa类似,后者是名义数据的跨界一致性指数。在基于均匀r_(wg(1))和a_(wg(1))的一致性估计之间进行比较,并讨论了诸如最小样本大小和实际重要性水平之类的问题。作者在建议使用r_(wg(1))/ r_(wg(J))时建议使用统一的null,而不建议使用r_(wg(1))/ r_(wg(J))索引作为建议。假设一个统一的null,a_(wg(1))/ a_(wg(J))索引,以及定界符一致性的可概性估计。

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