USE AND UTILITY OF MONOTONE CRITERION IN MULTIDIMENSIONAL SCALING

The monotone criterion as a multidimensional scaling technique is theoretically and empirically evaluated using the algorithms of Kruskal (MDSCAL) and Guttman-Lingoes (SSA-1). Geometric configurations are used to test the recovery capabaty and other aspects of MDSCAL and SSA-1. In addition to theoretical shortcomings, the monotone criterion permits results which do not correspond to the shape of the input data. Because of its deficiencies, alterna- tive goodness-of-fit criteria are suggested in preference to the monotone criterion. © 1969, Taylor & Francis Group, LLC. All rights reserved.