Agreement and adjusted degree of distinguishability for square contingency tables


YILMAZ A. E. , SARAÇBAŞI T.

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, vol.48, no.2, pp.592-604, 2019 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 48 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.15672/hjms.2018.620
  • Title of Journal : HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
  • Page Numbers: pp.592-604

Abstract

In square contingency tables, analysis of agreement between the row and column classifications is of interest. In such tables, kappa or weighted kappa coefficients are used to summarize the degree of agreement between two raters. In addition to investigate the agreement between raters for square contingency tables, category distinguishability should be considered. Because the kappa coefficient is insufficient to measure the category distinguishability, the degree of distinguishability is suggested to use. In practice, some problems have occurred with regards to the use of the degree of distinguishability. The aim of this study is to assess the agreement coefficient and degree of distinguishability in square contingency tables together. In this study, the adjusted degree of distinguishability is suggested to solve the problem of calculating the degree of distinguishability falls outside the defined range. A simulation study is performed to compare the proposed adjusted degree of distinguishability and the classical degree of distinguishability. Furthermore, interpretation levels for the degree of distinguishability are determined based on a simulation study. The results are discussed over numerical examples and simulation.