Implementing a General Framework for Assessing Interrater Agreement in Stata

Author:

Klein Daniel1

Affiliation:

1. International Centre for Higher Education Research Kassel Kassel, Germany

Abstract

Despite its well-known weaknesses, researchers continuously choose the kappa coefficient (Cohen, 1960, Educational and Psychological Measurement 20: 37–46; Fleiss, 1971, Psychological Bulletin 76: 378–382) to quantify agreement among raters. Part of kappa's persistent popularity seems to arise from a lack of available alternative agreement coefficients in statistical software packages such as Stata. In this article, I review Gwet’s (2014, Handbook of Inter-Rater Reliability) recently developed framework of interrater agreement coefficients. This framework extends several agreement coefficients to handle any number of raters, any number of rating categories, any level of measurement, and missing values. I introduce the kappaetc command, which implements this framework in Stata.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3