01835nas a2200157   4500008003900000022001400039245010200053210006900155300001400224490000700238520133800245100001501583700001901598700001901617856004101636       2014                          d  a1745-398400aAn Enhanced Approach to Combine Item Response Theory With Cognitive Diagnosis in Adaptive Testing0 aEnhanced Approach to Combine Item Response Theory With Cognitive  a358–3800 v513 a<p>
	Computerized adaptive testing offers the possibility of gaining information on both the overall ability and cognitive profile in a single assessment administration. Some algorithms aiming for these dual purposes have been proposed, including the shadow test approach, the dual information method (DIM), and the constraint weighted method. The current study proposed two new methods, aggregate ranked information index (ARI) and aggregate standardized information index (ASI), which appropriately addressed the noncompatibility issue inherent in the original DIM method. More flexible weighting schemes that put different emphasis on information about general ability (i.e., &theta; in item response theory) and information about cognitive profile (i.e., &alpha; in cognitive diagnostic modeling) were also explored. Two simulation studies were carried out to investigate the effectiveness of the new methods and weighting schemes. Results showed that the new methods with the flexible weighting schemes could produce more accurate estimation of both overall ability and cognitive profile than the original DIM. Among them, the ASI with both empirical and theoretical weights is recommended, and attribute-level weighting scheme is preferred if some attributes are considered more important from a substantive perspective.</p>
1 aWang, Chun1 aZheng, Chanjin1 aChang, Hua-Hua  uhttp://dx.doi.org/10.1111/jedm.12057