TESTING FOR REGULAR MINIMALITY
The law of regular minimality (RM) for same-different judgments was introduced by Dzha- farov as a fundamental property of discrimination and a necessary condition for Dzhafarov and Coloniusâ€™ theory of Fechnerian scaling. A matrix of discrimination probabilities satisfies RM if every row and every column of the matrix contains a single minimal entry, and an entry mini- mal in its row is minimal in its column. In this paper we propose a measure based on which the compliance of a matrix of discrimination probabilities with RM can be tested statistically. The effectiveness of the measure for testing RM is demonstrated on real data.