The Performance of the Modified Multidimensional Priority Index for Item Selection in Variable-Length MCAT

  • Ya-Hui SuEmail author
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 140)


In addition to statistical optimization, an important issue in computerized adaptive testing (CAT) is to fulfill a large number of statistical and non-statistical constraints for the construction of assessments. The priority index (PI) approaches can be used for item selection to monitor many constraints simultaneously. Many previous studies on item selection methods were conducted in fixed-length multidimensional CAT (MCAT); however, studies in variable-length MCAT were paid little attention. To achieve the same level of precision for examinees, the purpose of the study was to investigate the modified multidimensional priority index(MMPI-v) and multidimensional priority index (MPI) in variable-length MCAT through simulations. It was found that the MMPI-v method outperformed the MPI in terms of constraint management, and the MMPI-v used fewer items than the MPI method did to meet the required measurement precision.


Computer adaptive testing Priority index Multidimensional Item selection IRT Variable length 


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© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of PsychologyNational Chung Cheng UniversityChiayi CountyTaiwan

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