TY - JOUR T1 - Computerized adaptive testing with the generalized graded unfolding model JF - Applied Psychological Measurement Y1 - 2001 A1 - Roberts, J. S. A1 - Lin, Y. A1 - Laughlin, J. E. KW - Attitude Measurement KW - College Students computerized adaptive testing KW - Computer Assisted Testing KW - Item Response KW - Models KW - Statistical Estimation KW - Theory AB - Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing. The objective was to minimize the number of items required to produce equiprecise estimates of person locations. Simulations based on real data about college student attitudes toward abortion and on data generated to fit the GGUM were used. It was found that as few as 7 or 8 items were needed to produce accurate and precise person estimates using an expected a posteriori procedure. The number items in the item bank (20, 40, or 60 items) and their distribution on the continuum (uniform locations or item clusters in moderately extreme locations) had only small effects on the accuracy and precision of the estimates. These 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. (PsycINFO Database Record (c) 2005 APA ) VL - 25 ER -