01434nas a2200133   4500008003900000245010900039210006900148300000900217490000700226520097600233100001601209700002401225856005101249       2005                          d00aTrait Parameter Recovery Using Multidimensional Computerized Adaptive Testing in Reading and Mathematics0 aTrait Parameter Recovery Using Multidimensional Computerized Ada  a3-250 v293 a<p>Under a multidimensional item response theory (MIRT) computerized adaptive testing (CAT) testing scenario, a trait estimate (&theta;) in one dimension will provide clues for subsequently seeking a solution in other dimensions. This feature may enhance the efficiency of MIRT CAT&rsquo;s item selection and its scoring algorithms compared with its counterpart, the unidimensional CAT (UCAT). The present study used existing Reading and Math test data to generate simulated item parameters. A confirmatory item factor analysis model was applied to the data using NOHARM to produce interpretable MIRT item parameters. Results showed that MIRT CAT, conditional on the constraints, was quite capable of producing accurate estimates on both measures. Compared with UCAT, MIRT CAT slightly increased the accuracy of both trait estimates, especially for the low-level or high-level trait examinees in both measures, and reduced the rate of unused items in the item pool.</p>
1 aLi, Yuan, H1 aSchafer, William, D  uhttp://apm.sagepub.com/content/29/1/3.abstract