Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing, using simulation and attempting to minimize the number of items required to produce equiprecise estimates of person locations. Results suggest that adaptive testing with the GGUM is a good method for achieving estimates with an approximately uniform level of precision using a small number of items. (SLD)