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Evaluates R2-type measures for analyzing associations in ordinal data, suggesting new statistical approaches.
The concentration and entropy measures for categorical data tend to be highly dependent on the choice of response categories. If the categorization of the response variable is arbitiary but it is reasonable to assume an underlying continuous distribution, then an adaptation of the regression R 2 measure can be useful for describing multiple association.
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Alan Agresti (1986) studied this question.
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