01700nas a2200157   4500008003900000022001400039245008000053210006900133300001300202490000700215520119700222100002301419700002301442700002201465856005501487       2009                          d  a1745-398400aA Conditional Exposure Control Method for Multidimensional Adaptive Testing0 aConditional Exposure Control Method for Multidimensional Adaptiv  a84–1030 v463 a<p>In computerized adaptive testing (CAT), ensuring the security of test items is a crucial practical consideration. A common approach to reducing item theft is to define maximum item exposure rates, i.e., to limit the proportion of examinees to whom a given item can be administered. Numerous methods for controlling exposure rates have been proposed for tests employing the unidimensional 3-PL model. The present article explores the issues associated with controlling exposure rates when a multidimensional item response theory (MIRT) model is utilized and exposure rates must be controlled conditional upon ability. This situation is complicated by the exponentially increasing number of possible ability values in multiple dimensions. The article introduces a new procedure, called the generalized Stocking-Lewis method, that controls the exposure rate for students of comparable ability as well as with respect to the overall population. A realistic simulation set compares the new method with three other approaches: Kullback-Leibler information with no exposure control, Kullback-Leibler information with unconditional Sympson-Hetter exposure control, and random item selection.</p>
1 aFinkelman, Matthew1 aNering, Michael, L1 aRoussos, Louis, A  uhttp://dx.doi.org/10.1111/j.1745-3984.2009.01070.x