REFINEMENTS OF STOUT PROCEDURE FOR ASSESSING LATENT TRAIT UNIDIMENSIONALITY

This article provides a detailed investigation of Stout's statistical procedure (the computer program DIMTEST) for testing the hypothesis th at an essentially unidimensional latent trait model fits observed bina ry item response data from a psychological test. One finding was that DIMTEST may fail to perform as desired in the presence of guessing whe n coupled with many high-discriminating items. A revision of DIMTEST i s proposed to overcome this limitation. Also, an automatic approach is devised to determine the size of the assessment subtests. Further, an adjustment is made on the estimated standard error of the statistic o n which DIMTEST depends. These three refinements have led to an improv ed procedure that is shown in simulation studies to adhere closely to the nominal level of signficance while achieving considerably greater power. Finally, DIMTEST is validated on a selection of real data sets.