The Uniform Association (UA) and Quasi-Uniform Association (QUA) models are used for analysis of two-way square contingency tables with ordered categories. When the QUA model does not fit the data, one wants to measure the degree of departure from the quasi-uniform association model. The degree of the departure from the model is calculated by using
the power divergence statistics. In this study, as an alternative to measures in the literature, a measure to estimate the degree of departure from the QUA model is suggested. This suggested measure allows us to compare the several R×R tables in terms of the departure from the model. The measures are compared by the simulation study and discussed by three unaided distance vision data.
Square contingency tables Ordinal categories Uniform association model Quasi-uniform association model Kullback-Leiber divergence
Primary Language | English |
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Journal Section | Journals |
Authors | |
Early Pub Date | October 22, 2021 |
Publication Date | December 31, 2021 |
Published in Issue | Year 2021 Volume: 7 Issue: 2 |
Mugla Journal of Science and Technology (MJST) is licensed under the Creative Commons Attribution-Noncommercial-Pseudonymity License 4.0 international license.