[1]章沪超,丁树良.各层分布近似的计算机化自适应测验分层选题策略[J].江西师范大学学报(自然科学版),2013,(06):652-656.
　ZHANG Hu-chao,DING Shu-liang.Similar Distributed Stratification Method for Computerized Adaptive Testing[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(06):652-656.
点击复制

各层分布近似的计算机化自适应测验分层选题策略()
分享到：

《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06期
页码:
652-656
栏目:
出版日期:
2013-12-31

文章信息/Info

Title:
Similar Distributed Stratification Method for Computerized Adaptive Testing
作者:
章沪超;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):
ZHANG Hu-chao；DING Shu-liang
关键词:
计算机化自适应测验; 选题策略; 按区分度近似分布分层法; 按最大信息量近似分布分层法
Keywords:
computerized adaptive testing; item selection method; similar distributions of discrimination parameters stratification; similar distributions of maximum information stratification
分类号:
B841.7；TP301.6
文献标志码:
A
摘要:
选题策略是计算机化自适应测验重要的组成部分,其好坏直接关系到测验的准确性、安全性、效率和测验信度,而分层法又是其中极其重要的一种方法.针对在分层法中按区分度分层(a-STR)和按最大信息量分层(MIS)的曝光率依然较大的缺点,提出了按区分度近似分布分层法(A-SDS)和按最大信息量近似分布分层法(MI-SDS)2种方法.通过Matlab模拟实验表明:在测验精度和效率与原方法接近的情况下,新方法比a-STR和MIS方法较明显地降低了项目的曝光率.
Abstract:
Item selection method is a key part of computerized adaptive testing,it will have a direct impact on accuracy,safety,efficiency and reliability of the testing.Besides,stratified method is a most important part of item selection method.For the relatively high item exposure rate shortcoming against a-stratified(a-STR)and maximum information stratification(MIS)method,two kinds of methods are proposed:similar distributions of discrimination parameters/maximum information stratification(A-SDS/MI-SDS).The results of the Matlab simulation study show that the new item selection methods obtain lower average exposure rates than a-STR and MIS methods while maintaining the approximate accuracy and efficiency of testing.

参考文献/References:

[1] Weiss D J,Kingsbury G G.Application of computerized adaptive testing to educational problems [J].Journal of Educational Measurement,1984,21(4):361-375.
[2] Wim J van der Linden,Cees A W Glas.Computerized adaptive testing:theory and practice [M].Dordrecht:Kluwer Academic Publishers,2000:27-52.
[3] Lord F M.A broad-range tailored test of verbal ability [J].Applied Psychological Measurement,1977(1):95-100.
[4] Owen R J.A Bayesian sequential procedure for quantal response in the context of adaptive mental testing [J].Journal of the American Statistical Association,1975,70(350):351-356.
[5] Chang Huahua,Ying Zhiliang.A global information approach to computerized adaptive testing [J].Applied Psychological Measurement,1996,20(3):213-229.
[6] 毛秀珍,辛涛.计算机化自适应测验选题策略述评 [J].心理科学进展,2001,19(10):1552-1562
[7] Chang Huahua,Ying Zhiliang.a-stratified multistage computerized adaptive testing [J].Applied Psychological Measurement,1999,23(3):211-222.
[8] Wingersky M S,Lord F M.An investigation of methods for reducing sampling error in certain IRT procedures [J].Applied Psychological Measurement,1984,8(3):347-364.
[9] Chang Huahua,Qian Jianhe,Ying Zhiliang.a-stratified multistage computerized adaptive testing with b blocking [J].Applied Psychological Measurement,2001,25(4):333-341.
[10] Juan Ramón Barrada,Paloma Mazuela,Julio Olea.Maximum information stratification method for controlling item exposure in computerized adaptive testing [J].Psicothema,2006,18(1):156-159.
[11] 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.
[12] 程小扬,丁树良.子题库题量不平衡的按a分层选题策略 [J].江西师范大学学报:自然科学版,2011,35(1):5-9.
[13] 汤楠,丁树良,余丹.结合优先级指标和曝光因子的多级评分选题策略 [J].江西师范大学学报:自然科学版,2011,35(6):646-650.

相似文献/References:

[1]詹沛达,王立君,杨卫敏.引入内容平衡的最大信息量组块分层选题策略[J].江西师范大学学报(自然科学版),2013,(01):106.
　ZHAN Pei-da,WANG Li-jun,YANG Wei-min.The Maximum Information Stratification Method with Content Balancing in Computerized Adaptive Testing[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(06):106.
[2]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.
　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,(06):445.
[3]戴勰,甘登文,丁树良.结合影子题库的选题策略[J].江西师范大学学报(自然科学版),2013,(06):657.
　DAI Xie,GAN Deng-wen,DING Shu-liang.New Item Selection Method Combining with Shadow Bank[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(06):657.
[4]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.
　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,(06):119.
[5]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,(06):270.
[6]李佳,丁树良,方剑英.基于平均数形式的选题策略比较[J].江西师范大学学报(自然科学版),2015,(01):69.
　LI Jia,DING Shuliang,FANG Jianying.The Comparison of Item Selection Strategies Based on Average Type[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(06):69.
[7]艾国金,甘登文,丁树良.计算机化自适应诊断测验双重约束变长终止规则[J].江西师范大学学报(自然科学版),2015,(05):449.
　AI Guojin,GAN Dengwen,DING Shuliang.The Dual Restrictions Variable-Length Termination Rule in Cognitive Diagnosis Computerized Adaptive Testing[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(06):449.
[8]李 佳,丁树良.基于GRM模型的CAT分层方法在校准误差中的应用研究[J].江西师范大学学报(自然科学版),2018,(04):374.[doi:10.16357/j.cnki.issn1000-5862.2018.04.09]
　LI Jia,DING Shuliang.The Several Stratified Methods of CAT in the Presence of Calibration Error on GRM[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(06):374.[doi:10.16357/j.cnki.issn1000-5862.2018.04.09]
[9]张龙飞,刘 凯,宋 鸽,等.计算机化自适应测验技术在情绪智力智能测评中的初步应用——基于项目反应理论[J].江西师范大学学报(自然科学版),2020,(05):454.[doi:10.16357/j.cnki.issn1000-5862.2020.05.02]
　ZHANG Longfei,LIU Kai,SONG Ge,et al.The Application of CAT on Emotional Intelligence with Item Response Theory[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(06):454.[doi:10.16357/j.cnki.issn1000-5862.2020.05.02]
[10]李 佳,丁树良*,况天昊.区分度与测验进程相匹配的CAT选题策略[J].江西师范大学学报(自然科学版),2021,(04):384.[doi:10.16357/j.cnki.issn1000-5862.2021.04.10]
　LI Jia,DING Shuliang*,KUANG Tianhao.The Item Selection Strategy on Composing the Discrimination with the Test Process in CAT[J].Journal of Jiangxi Normal University:Natural Science Edition,2021,(06):384.[doi:10.16357/j.cnki.issn1000-5862.2021.04.10]
[11]程小扬,丁树良,朱隆尹,等.等级评分模型下的最大信息量分层选题策略[J].江西师范大学学报(自然科学版),2012,(05):446.
　CHENG Xiao-yang,DING Shu-liang,ZHU Long-yin,et al.The Stratified Item Selection Strategy with Maximal Information under Graded Response Model[J].Journal of Jiangxi Normal University:Natural Science Edition,2012,(06):446.
[12]汤楠,丁树良.一阶段选题的最大优先级指标的修正[J].江西师范大学学报(自然科学版),2012,(05):452.
　TANG Nan,DING Shu-liang.Amendment on Maximum Priority Index in One Phase Strategy[J].Journal of Jiangxi Normal University:Natural Science Edition,2012,(06):452.
[13]李萍,甘登文,丁树良.自动控制区分度作用的选题策略研究[J].江西师范大学学报(自然科学版),2013,(01):101.
　LI Ping,GAN Deng-wen,DING Shu-liang.The Study of Item Selection Strategy-Automatic Control for the Role of Discrimination Index[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(06):101.

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)；江西省教育厅科技计划(GJJ13207,GJJ13227,GJJ13226,GJJ13208,GJJ13209,13JY01)
更新日期/Last Update: 1900-01-01