01793nas a2200121   4500008003900000245010500039210006900144300001200213490000700225520137100232100001501603856005301618       2016                          d00aA Comparison of Constrained Item Selection Methods in Multidimensional Computerized Adaptive Testing0 aComparison of Constrained Item Selection Methods in Multidimensi  a346-3600 v403 aThe construction of assessments in computerized adaptive testing (CAT) usually involves fulfilling a large number of statistical and non-statistical constraints to meet test specifications. To improve measurement precision and test validity, the multidimensional priority index (MPI) and the modified MPI (MMPI) can be used to monitor many constraints simultaneously under a between-item and a within-item multidimensional framework, respectively. As both item selection methods can be implemented easily and computed efficiently, they are important and useful for operational CATs; however, no thorough simulation study has compared the performance of these two item selection methods under two different item bank structures. The purpose of this study was to investigate the efficiency of the MMPI and the MPI item selection methods under the between-item and within-item multidimensional CAT through simulations. The MMPI and the MPI item selection methods yielded similar performance in measurement precision for both multidimensional pools and yielded similar performance in exposure control and constraint management for the between-item multidimensional pool. For the within-item multidimensional pool, the MPI method yielded slightly better performance in exposure control but yielded slightly worse performance in constraint management than the MMPI method.1 aSu, Ya-Hui  uhttp://apm.sagepub.com/content/40/5/346.abstract