Individual differences in the use of physical dimensions to classify matrix patterns

Abstract

A method was developed to study individual differences in the classification of matrix patterns which were controlled on five physical dimensions: black, area, second moment of inertia, product of inertia, and matrix grain. The method permitted a test of whether the findings of the study, based on the sample set of patterns, could be generalized to the stimulus domain