01716nas a2200145   4500008003900000245008600039210006900125300001200194490000700206520124600213100001901459700002001478700001901498856005301517       2013                          d00aVariable-Length Computerized Adaptive Testing Based on Cognitive Diagnosis Models0 aVariableLength Computerized Adaptive Testing Based on Cognitive   a563-5820 v373 a<p>
	Interest in developing computerized adaptive testing (CAT) under cognitive diagnosis models (CDMs) has increased recently. CAT algorithms that use a fixed-length termination rule frequently lead to different degrees of measurement precision for different examinees. Fixed precision, in which the examinees receive the same degree of measurement precision, is a major advantage of CAT over nonadaptive testing. In addition to the precision issue, test security is another important issue in practical CAT programs. In this study, the authors implemented two termination criteria for the fixed-precision rule and evaluated their performance under two popular CDMs using simulations. The results showed that using the two criteria with the posterior-weighted Kullback&ndash;Leibler information procedure for selecting items could achieve the prespecified measurement precision. A control procedure was developed to control item exposure and test overlap simultaneously among examinees. The simulation results indicated that in contrast to no method of controlling exposure, the control procedure developed in this study could maintain item exposure and test overlap at the prespecified level at the expense of only a few more items.</p>
1 aHsu, Chia-Ling1 aWang, Wen-Chung1 aChen, Shu-Ying  uhttp://apm.sagepub.com/content/37/7/563.abstract