[1]丁加林,熊建华,罗 芬,等.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(04):377-381.
 DING Jialin,XIONG Jianhua,LUO Fen,et al.The Item Selection Strategies with Discrimination Constraint[J].,2016,40(04):377-381.
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带区分度约束的选题策略研究()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2016年04期
页码:
377-381
栏目:
出版日期:
2016-09-01

文章信息/Info

Title:
The Item Selection Strategies with Discrimination Constraint
作者:
丁加林熊建华罗 芬甘登文汪文义
江西师范大学计算机信息工程学院,江西 南昌 330022
Author(s):
DING JialinXIONG JianhuaLUO FenGAN DengwenWANG Wenyi
College of Computer Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China
关键词:
非统计约束 选题策略 a分层 最大优先级指标方法
Keywords:
the statistical constraints item selection strategy a-stratified method maximum priority index method
分类号:
B 841
文献标志码:
A
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.
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.

参考文献/References:

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相似文献/References:

[1]贺 翔,罗 芬,甘登文,等.一种提升题库安全性的选题策略[J].江西师范大学学报(自然科学版),2016,40(04):363.
 HE Xiang,LUO Fen,GAN Dengwen,et al.The Item Selection Strategy of Raising Item Pool Security[J].,2016,40(04):363.

备注/Memo

备注/Memo:
收稿日期:2016-03-29基金项目:国家自然科学基金(31500909,31360237,31300876,31160203,31100756,30860084),教育部人文社会科学研究青年基金(13YJC880060)和江西省教育科学2013年度一般课题(13YB032)资助项目.通信作者:甘登文(1956-),男,江西奉新人,教授,主要从事计算机辅助教学和统计应用方面的研究.
更新日期/Last Update: 1900-01-01