01355nas a2200133   4500008003900000022001400039245010100053210006900154300001400223490000700237520090400244100001801148856005501166       2012                          d  a1745-398400aAn Efficiency Balanced Information Criterion for Item Selection in Computerized Adaptive Testing0 aEfficiency Balanced Information Criterion for Item Selection in   a225–2460 v493 a<p>Successful administration of computerized adaptive testing (CAT) programs in educational settings requires that test security and item exposure control issues be taken seriously. Developing an item selection algorithm that strikes the right balance between test precision and level of item pool utilization is the key to successful implementation and long-term quality control of CAT. This study proposed a new item selection method using the &ldquo;efficiency balanced information&rdquo; criterion to address issues with the maximum Fisher information method and stratification methods. According to the simulation results, the new efficiency balanced information method had desirable advantages over the other studied item selection methods in terms of improving the optimality of CAT assembly and utilizing items with low a-values while eliminating the need for item pool stratification.</p>
1 aHan, Kyung, T  uhttp://dx.doi.org/10.1111/j.1745-3984.2012.00173.x