@article {2266,
	title = {The Influence of Item Calibration Error on Variable-Length Computerized Adaptive Testing},
	journal = {Applied Psychological Measurement},
	volume = {37},
	number = {1},
	year = {2013},
	pages = {24-40},
	abstract = {<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>
},
	doi = {10.1177/0146621612461727},
	url = {http://apm.sagepub.com/content/37/1/24.abstract},
	author = {Patton, Jeffrey M. and Ying Cheng, and Yuan, Ke-Hai and Diao, Qi}
}
@article {2187,
	title = {Improving Cognitive Diagnostic Computerized Adaptive Testing by Balancing Attribute Coverage: The Modified Maximum Global Discrimination Index Method},
	journal = {Educational and Psychological Measurement},
	volume = {70},
	number = {6},
	year = {2010},
	pages = {902-913},
	abstract = {<p>This article proposes a new item selection method, namely, the modified maximum global discrimination index (MMGDI) method, for cognitive diagnostic computerized adaptive testing (CD-CAT). The new method captures two aspects of the appeal of an item: (a) the amount of contribution it can make toward adequate coverage of every attribute and (b) the amount of contribution it can make toward recovering the latent cognitive profile. A simulation study shows that the new method ensures adequate coverage of every attribute, which improves the validity of the test scores, and defensibility of the proposed uses of the test. Furthermore, compared with the original global discrimination index method, the MMGDI method improves the recovery rate of each attribute and of the entire cognitive profile, especially the latter. Therefore, the new method improves both the validity and reliability of the test scores from a CD-CAT program.</p>
},
	doi = {10.1177/0013164410366693},
	url = {http://epm.sagepub.com/content/70/6/902.abstract},
	author = {Ying Cheng,}
}
