These types of data where categories are unordered are termed nominal data. If there is an obvious ordering of the categories, the data are termed ordinal data.

Measures are formulated for summarizing the strength of association between a nominal variable and an ordered categorical variable. The measures are differences or ratios of probabilities of events ...

This article proposes a Mantel-Haenszel-type estimator of an assumed common cumulative odds ratio in a proportional odds model for an ordinal response with several 2 x contingency tables. It is useful ...