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A measure of interrater absolute agreement for ordinal categorical data
Statistical Methods & Applications ( IF 1 ) Pub Date : 2020-11-24 , DOI: 10.1007/s10260-020-00551-5
Giuseppe Bove , Pier Luigi Conti , Daniela Marella

A measure of interrater absolute agreement for ordinal scales is proposed capitalizing on the dispersion index for ordinal variables proposed by Giuseppe Leti. The procedure allows to overcome the limits affecting traditional measures of interrater agreement in different fields of application. An unbiased estimator of the proposed measure is introduced and its sampling properties are investigated. In order to construct confidence intervals for interrater absolute agreement both asymptotic results and bootstrapping methods are used and their performance is evaluated. Simulated data are employed to demonstrate the accuracy and practical utility of the new procedure for assessing agreement. Finally, an application to a real case is provided.



中文翻译:

序数分类数据的绝对绝对度量的度量

利用Giuseppe Leti提出的序数变量的弥散指数,提出了一种序数尺度的绝对绝对一致性的度量。该程序可以克服影响不同应用领域中传统的跨界协议措施的限制。介绍了所提出措施的无偏估计量,并研究了其采样特性。为了构造对绝对绝对一致性的置信区间,使用了渐近结果和自举方法,并对它们的性能进行了评估。仿真数据被用来证明新程序评估协议的准确性和实用性。最后,提供了一个针对实际案例的应用程序。

更新日期:2020-11-25
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