Symmetry (Apr 2022)

Quasi Association Models for Square Contingency Tables with Ordinal Categories

  • Kengo Fujisawa,
  • Kouji Tahata

DOI
https://doi.org/10.3390/sym14040805
Journal volume & issue
Vol. 14, no. 4
p. 805

Abstract

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The analysis of contingency tables focuses on a statistical model instead of independence when the independence between row and column variables does not hold. Many association models have been proposed to indicate the structure of odds ratios. Additionally, symmetry and asymmetry models have been proposed to analyze the cell probabilities of square contingency tables with symmetric or asymmetric structures. This paper proposes an asymmetry plus association model for square contingency tables with ordinal categories and partitioning of the test statistic for goodness-of-fit using our proposed model.

Keywords