[1]卫芳娜,甘登文,丁树良.认知诊断计算机化自适应测验按模式分层选题策略[J].江西师范大学学报(自然科学版),2013,(05):445-448.
　WEI Fang-na,GAN Deng-wen,DING Shu-liang.p-STR Item Selection Strategy of Computerized Adaptive Testing for Cognitive Diagnosis[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(05):445-448.
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认知诊断计算机化自适应测验按模式分层选题策略()
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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:
期数:
2013年05期
页码:
445-448
栏目:
出版日期:
2013-10-31

文章信息/Info

Title:
p-STR Item Selection Strategy of Computerized Adaptive Testing for Cognitive Diagnosis
作者:
卫芳娜;甘登文;丁树良
江西师范大学计算机信息工程学院,江西南昌,330022
Author(s):
WEI Fang-na；GAN Deng-wen；DING Shu-liang
关键词:
计算机化自适应认知诊断测验; 题库分层; 选题策略; 题库安全
Keywords:
CD_CAT; stratification of item pools; item selection strategy; the security of item pool
分类号:
B841.7；TP301.6
文献标志码:
A
摘要:
提出一种题库按属性模式分层,并结合项目曝光度控制的新方法.蒙特卡洛模拟研究显示:该方法在题库使用均匀程度上表现优异,并保有较高测量精度.
Abstract:
Partition of an item pool into some sub-pools according to the attribute pattern(briefly,p-STR)in items is made and a new item selection strategy is proposed.The four types of the attribute hierarchies of linear,convergent,divergent and unstructured structure are considered and each type corresponds to an item pool and tests are fixed-length.The results of Monte Carlo simulations indicate that compared to other methods,the new strategy is effective in improvement of the security of item pool,meanwhile with high measurement accuracy.

参考文献/References:

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[8] 程小扬,丁树良,严深海,等.引入曝光因子的计算机化自适应测验选题策略 [J].心理学报,2011,43(2):203-212.
[9] 陈平,丁树良,林海菁,等.等级反应模型下计算机化自适应测验选题策略 [J].心理学报,2006,38(3):.461-467.
[10] Cheng Ying.When cognitive diagnosis meets computerized adaptive testing [J].Psychometrika,2009,74(4):619-632.
[11] 刘珍,丁树良,林海菁.基于GPCM的CAT选题策略比较 [J].心理学报,2008,40(5):618-625.

相似文献/References:

[1]艾国金,甘登文,丁树良.计算机化自适应认知诊断测验按模式分层选题策略[J].江西师范大学学报(自然科学版),2014,(03):270.
　AI Guo-jin,GAN Deng-wen,DING Shu-liang.The Exploration of p-STR Item Selection in Computerized Adaptive Testing for Cognitive Diagnosis[J].Journal of Jiangxi Normal University:Natural Science Edition,2014,(05):270.

备注/Memo

备注/Memo:
国家自然科学基金(30860084,31160203,31100756,31360237)；国家社会科学基金(12BYY055)；江西省教育厅科技计划(GJJ13207,GJJ13226,GJJ13227,GJJ13208,GJJ13209)
更新日期/Last Update: 1900-01-01