[1]章沪超,丁树良,戴勰,等.基于抽样原理的计算机化自适应测验选题策略[J].江西师范大学学报(自然科学版),2014,(02):119-123.
　ZHANG Hu-chao,DING Shu-liang,DAI Xie,et al.The New Item Selection Strategy for Computerized Adaptive Testing Based on Sampling Principle[J].Journal of Jiangxi Normal University:Natural Science Edition,2014,(02):119-123.
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基于抽样原理的计算机化自适应测验选题策略()
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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:
2014年02期
页码:
119-123
栏目:
出版日期:
2014-04-30

文章信息/Info

Title:
The New Item Selection Strategy for Computerized Adaptive Testing Based on Sampling Principle
作者:
章沪超;丁树良;戴勰;关潮辉
江西师范大学计算机信息工程学院,江西南昌,330022
Author(s):
ZHANG Hu-chao；DING Shu-liang；DAI Xie；GUAN Chao-hui
关键词:
抽样原理; 计算机化自适应测验; 分布因子
Keywords:
sampling principle; computerized adaptive testing; distribution factor
分类号:
B841.7；TP301.6
文献标志码:
A
摘要:
沿用曝光控制因子的同时,基于抽样原理,引入区分度分布因子,按区分度的分布情况来选取测验中的项目.以lna～N(0,1)为例,Monte Carlo模拟结果表明:该方法在估计精度、效率和安全性等指标上表现得比较优异.
Abstract:
The exposure-control factors has been followed,at the same time,a discrimination-distribution factor has been introduced.According to the distribution of discrimination,the new item selectisn srategy to balance item usage exposure rate has been proposed.Suppose that ln1)and according to Monte Carlo simulation,the results show that the new approach has more preferably performance comparing with other approaches on several assessment indexes.

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备注/Memo

备注/Memo:
国家自然科学基金(30860084,31160203,31100756,31360237,31300876)；国家社会科学基金(12BYY055,13BYY087)；江西省教育厅科技计划(GJJ3207,GJJ13226,GJJ13227,GJJ13208,GJJ13209)
更新日期/Last Update: 1900-01-01