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带区分度约束的选题策略研究
引用本文:丁加林,熊建华,罗 芬,甘登文,汪文义.带区分度约束的选题策略研究[J].江西师范大学学报(自然科学版),2016,40(4):377-381.
作者姓名:丁加林  熊建华  罗 芬  甘登文  汪文义
作者单位:江西师范大学计算机信息工程学院,江西 南昌 330022
摘    要:最大优先级指标(MPI)选题策略可以较好地满足非统计性约束,按a分层的选题策略可以有效提高低区分度项目的利用率,结合两者的优势,构造了附加区分度约束的两阶段MPI选题策略.Monte Carlo模拟研究表明:新选题策略在题库的未使用率方面有明显改进,在测量精度和约束条件控制等评价指标上较现有方法差异不大.

关 键 词:非统计约束  选题策略  a分层  最大优先级指标方法

The Item Selection Strategies with Discrimination Constraint
DING Jialin,XIONG Jianhua,LUO Fen,GAN Dengwen,WANG Wenyi.The Item Selection Strategies with Discrimination Constraint[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2016,40(4):377-381.
Authors:DING Jialin  XIONG Jianhua  LUO Fen  GAN Dengwen  WANG Wenyi
Institution:College of Computer Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China
Abstract:MPI can well meet the statistical constraints,and a-stratified method can effectively improve the utilization rate of low discrimination item.Combining the advantages of MPI and a-stratified method,a two-phase MPI item selection strategy with additional distinction constraint is constructed.The simulation study of Monte Carlo shows that the new item selection strategy has improved a lot in the inavailability of item bank,which is about the same as the existing approach in measurement accuracy,constraint management and other evaluation in dices.
Keywords:the statistical constraints  item selection strategy  a-stratified method  maximum priority index method
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