01586nas a2200145   4500008003900000245011200039210006900151300001200220490000700232520109100239100002101330700001901351700001701370856005301387       2003                          d00aIncorporation Of Content Balancing Requirements In Stratification Designs For Computerized Adaptive Testing0 aIncorporation Of Content Balancing Requirements In Stratificatio  a257-2700 v633 a<p>In computerized adaptive testing, the multistage a-stratified design advocates a new philosophy on pool management and item selection in which, contradictory to common practice, less discriminating items are used first. The method is effective in reducing item-overlap rate and enhancing pool utilization. This stratification method has been extended in different ways to deal with the practical issues of content constraints and the positive correlation between item difficulty and discrimination. Nevertheless, these modified designs on their own do not automatically satisfy content requirements. In this study, three stratification designs were examined in conjunction with three well developed content balancing methods. The performance of each of these nine combinational methods was evaluated in terms of their item security, measurement efficiency, and pool utilization. Results showed substantial differences in item-overlap rate and pool utilization among different methods. An optimal combination of stratification design and content balancing method is recommended.</p>
1 aLeung, Chi-Keung1 aChang, Hua-Hua1 aHau, Kit-Tai  uhttp://epm.sagepub.com/content/63/2/257.abstract01981nas a2200205   4500008004100000245010100041210006900142300001200211490000700223520124900230653001201479653002101491653003001512653001501542653001601557653004501573100001701618700001901635856012101654       2001                        eng d00aItem selection in computerized adaptive testing: Should more discriminating items be used first?0 aItem selection in computerized adaptive testing Should more disc  a249-2660 v383 aDuring computerized adaptive testing (CAT), items are selected continuously according to the test-taker's estimated ability. Test security has become a problem because high-discrimination items are more likely to be selected and become overexposed. So, there seems to be a tradeoff between high efficiency in ability estimations and balanced usage of items. This series of four studies addressed the dilemma by focusing on the notion of whether more or less discriminating items should be used first in CAT. The first study demonstrated that the common maximum information method with J. B. Sympson and R. D. Hetter (1985) control resulted in the use of more discriminating items first. The remaining studies showed that using items in the reverse order, as described in H. Chang and Z. Yings (1999) stratified method had potential advantages: (a) a more balanced item usage and (b) a relatively stable resultant item pool structure with easy and inexpensive management. This stratified method may have ability-estimation efficiency better than or close to that of other methods. It is argued that the judicious selection of items, as in the stratified method, is a more active control of item exposure. (PsycINFO Database Record (c) 2005 APA )10aability10aAdaptive Testing10aComputer Assisted Testing10aEstimation10aStatistical10aTest Items computerized adaptive testing1 aHau, Kit-Tai1 aChang, Hua-Hua  uhttp://iacat.org/content/item-selection-computerized-adaptive-testing-should-more-discriminating-items-be-used-first