01409nas a2200157   4500008003900000245009300039210006900132300001000201490000700211520091300218100002301131700001501154700001701169700001301186856005201199       2013                          d00aThe Influence of Item Calibration Error on Variable-Length Computerized Adaptive Testing0 aInfluence of Item Calibration Error on VariableLength Computeriz  a24-400 v373 a<p>Variable-length computerized adaptive testing (VL-CAT) allows both items and test length to be &ldquo;tailored&rdquo; to examinees, thereby achieving the measurement goal (e.g., scoring precision or classification) with as few items as possible. Several popular test termination rules depend on the standard error of the ability estimate, which in turn depends on the item parameter values. However, items are chosen on the basis of their parameter estimates, and capitalization on chance may occur. In this article, the authors investigated the effects of capitalization on chance on test length and classification accuracy in several VL-CAT simulations. The results confirm that capitalization on chance occurs in VL-CAT and has complex effects on test length, ability estimation, and classification accuracy. These results have important implications for the design and implementation of VL-CATs.</p>
1 aPatton, Jeffrey, M1 aYing Cheng1 aYuan, Ke-Hai1 aDiao, Qi  uhttp://apm.sagepub.com/content/37/1/24.abstract