(MDS) a scaling method that represents perceived similarities among stimuli by arranging similar stimuli in spatial proximity to one another, while disparate stimuli are represented far apart from one another. Multidimensional scaling is an alternative to factor analysis for dealing with large matrices of data or stimuli.