论文标题
为了改善Krippendorff的Alpha协议系数的推断
Toward improved inference for Krippendorff's Alpha agreement coefficient
论文作者
论文摘要
在本文中，我建议对Krippendorff的Alpha协议系数进行更好的积分估计器，并开发出比习惯性的引导程序或替代性的自举操作程序，从而导致间隔估计值更好。在开发了新方法之后，我分析了先前由Krippendorff分析的名义数据，并进行了两个实验观察到的数据集：（1）来自先天性diaphragmaragmatic Hernia的成像研究中的序数数据，以及（2）美国环境保护局的空气污染数据，用于费城，宾夕法尼亚州费城地区。后两个应用是新颖的。现在，在我的开源R软件包的2.0版Krippendorffsalpha中支持了所提出的方法，该版本支持常见和用户定义的距离功能，并且可以容纳任意数量的单位，任何数量的编码器和丢失。间隔计算可以并行。
In this article I recommend a better point estimator for Krippendorff's Alpha agreement coefficient, and develop a jackknife variance estimator that leads to much better interval estimation than does the customary bootstrap procedure or an alternative bootstrap procedure. Having developed the new methodology, I analyze nominal data previously analyzed by Krippendorff, and two experimentally observed datasets: (1) ordinal data from an imaging study of congenital diaphragmatic hernia, and (2) United States Environmental Protection Agency air pollution data for the Philadelphia, Pennsylvania area. The latter two applications are novel. The proposed methodology is now supported in version 2.0 of my open source R package, krippendorffsalpha, which supports common and user-defined distance functions, and can accommodate any number of units, any number of coders, and missingness. Interval computation can be parallelized.
