An integrated package of statistics is described for measuring the relationship between binary dominance data, such as choices, and predictor variables that measure the objects or stimuli. The degree of fit between predictors and choices is defined, and procedures for determining the maximum possible fit and minimum acceptable fit are described. The statistics are applied, for illustrative purposes, to a practical data set.
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