Bayesian procedures for identifying aberrant response-time patterns in adaptive testing
Bayesian procedures for identifying aberrant response-time patterns in adaptive testing
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DOI：
10.1007/s11336-007-9046-8
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发表时间：
2008-09-01
期刊：
影响因子：
3
通讯作者：
Guo, Fanmin
中科院分区：
文献类型：
--
作者：
van der Linden, Wim J.;Guo, Fanmin
为了识别教育和心理测试中的异常反应时间模式，重要的是能够将考生操作的速度与项目所需的时间分开。具有这一特征的反应时间的对数正态模型被用于推导检测异常反应时间的贝叶斯程序。此外，反应时间模型和层次化框架中的常规反应模型的组合被用于检测异常反应时间，其中关于受试者速度的辅助信息是从他们的反应向量中获得的。这些程序是使用研究生管理入学考试(注册商标)(GMAT(注册商标))的数据集说明的。此外，在适应性测试中使用模拟作弊行为进行了功率研究。
In order to identify aberrant response-time patterns on educational and psychological tests, it is important to be able to separate the speed at which the test taker operates from the time the items require. A lognormal model for response times with this feature was used to derive a Bayesian procedure for detecting aberrant response times. Besides, a combination of the response-time model with a regular response model in an hierarchical framework was used in an alternative procedure for the detection of aberrant response times, in which collateral information on the test takers' speed is derived from their response vectors. The procedures are illustrated using a data set for the Graduate Management Admission Test (R) (GMAT (R)). In addition, a power study was conducted using simulated cheating behavior on an adaptive test.