A comparison of item selection rules at the early stages of computerized adaptive testing
A comparison of item selection rules at the early stages of computerized adaptive testing
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DOI：
10.1177/01466210022031705
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发表时间：
2000-09-01
影响因子：
1.2
通讯作者：
Chang, HH
中科院分区：
文献类型：
--
作者：
Chen, SY;Ankenmann, RD;Chang, HH
比较了Fisher信息（FI）、Fisher区间信息（PII）、Fisher信息后验分布（FIP）、Kullback-Leibler信息（KL）和Kullback-Leibler信息后验分布（KLP）5种项目选择规则对计算机自适应测验（CAT）早期阶段特征（theta）估计效率和精度的影响。对于θ = -3和2，在CAT的早期阶段，FII、FIP、KL和KLP的表现略好于F1。对于超过10个项目的测试，似乎没有任何选择规则的精度优势。
The effects of five item selection rules-Fisher information (FI), Fisher interval information (FII), Fisher information with a posterior distribution (FIP), Kullback-Leibler information (KL), and Kullback-Leibler information with a posterior distribution (KLP)-were compared with respect to the efficiency and precision of trait (theta) estimation at the early stages of computerized adaptive testing (CAT). FII, FIP, KL, and KLP performed marginally better than Fl at the early stages of CAT for theta = -3 and -2. For tests longer than 10 items, there appeared to be no precision advantage for any of the selection rules.