Some new item selection criteria for adaptive testing
Some new item selection criteria for adaptive testing
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DOI：
10.3102/10769986022002203
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发表时间：
1997-06-01
影响因子：
2.4
通讯作者：
Berger, MPF
中科院分区：
文献类型：
--
作者：
Veerkamp, WJJ;Berger, MPF
在这项研究中，提出了一些可供选择的适应性测验的项目选择标准。这些标准考虑到了能力估计的不确定性。提出了一种广义加权信息判据，其中通常的最大信息判据和所提出的替代判据是其特例。为了比较不同的标准，进行了一项小型模拟研究。结果表明，似然加权信息准则是最大信息准则的一个很好的替代。另一种好的选择是最大信息准则，将能力的最大似然估计替换为贝叶斯期望的后验估计。
In this study some alternative item selection criteria for adaptive testing are proposed. These criteria take into account the uncertainty of the ability estimates. A general weighted information criterion of which the usual maximum information criterion and the proposed alternative criteria are special cases is suggested. A small simulation study was conducted to compare the different criteria. The results showed that the likelihood weighted information criterion is a good alternative to the maximum information criterion. Another good alternative is a maximum information criterion with the maximum likelihood estimator of ability replaced by the Bayesian expected a posteriori estimator.