A few multi-dimensional items were found to be more efficient than a larger number of uni-dimensional items in tests for participant selection and evaluation of such compensatory educational programs as Title I. A multi-dimensional scaling technique is described which derives scores for each item on three dimensions, and allows multiple scores to…

DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…