[1]李 佳,况天昊.结合项目反应时间与项目区分度的CAT选题新策略[J].江西师范大学学报(自然科学版),2023,(04):377-383.[doi:10.16357/j.cnki.issn1000-5862.2023.04.07]
　LI Jia,KUANG Tianhao.The New Item Selection Strategies in CAT in Combination with Item Response Time and Item Discrimination[J].Journal of Jiangxi Normal University:Natural Science Edition,2023,(04):377-383.[doi:10.16357/j.cnki.issn1000-5862.2023.04.07]
点击复制

结合项目反应时间与项目区分度的CAT选题新策略()
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:
2023年04期
页码:
377-383
栏目:
心理与教育测量
出版日期:
2023-07-25

文章信息/Info

Title:
The New Item Selection Strategies in CAT in Combination with Item Response Time and Item Discrimination
文章编号:
1000-5862(2023)04-0377-07
作者:
李 佳1; 况天昊2
(1.江西师范大学计算机信息工程学院,江西 南昌 330022; 2.江西科技学院信息工程学院,江西 南昌 330098)
Author(s):
LI Jia1;  KUANG Tianhao2
(1.College of Computer Information Engineering, Jiangxi Normal University, Nanchang Jiangxi 330022, China; 2.Information Engineering College, Jiangxi University of Technology, Nanchang Jiangxi 330098, China)
关键词:
计算机化自适应测验;  选题策略;  项目反应时间;  项目区分度;  项目曝光控制
Keywords:
CAT;  item selection strategy;  item response time;  item discrimination;  item exposure control
分类号:
B 841
DOI:
10.16357/j.cnki.issn1000-5862.2023.04.07
文献标志码:
A
摘要:
计算机化自适应测验(CAT)的测量有效性不仅在于测验的项目数量,而且还在于被试完成测验所花费的时间.该文提出的结合项目反应时间和项目区分度动态分层的选题新策略是一种连续升a降β的选题方法,该方法在保证测验精度的同时,不仅有效地降低了被试的测验时间,而且还提高了题库的利用率.蒙特卡罗(Monte Carlo)模拟实验结果表明:新选题方法在测验精度、测验时间有效性、题库利用率和测验安全性等评价指标中总体表现良好.
Abstract:
Measurement efficiency of computerized adaptive testing shall not only be assessed in terms of the number of items administered but also in terms of the time it takes to complete the test. New item selection strategy based on both item response time and item discrimination are proposed in the paper. The item discrimination is increasing and the item time intensity is decreasing during the whole test process. The results of Monte Carlo study show that new method has better performances on the test estimation accuracy, testing time efficiency, testing safety and the utilization of the item bank.

参考文献/References:

[1] 漆书青,戴海崎,丁树良.现代教育与心理测量学原理 [M].北京:高等教育出版社,2002:154-155.
[2]VELDKAMP B P.On the issue of item selection in computerized adptive testing with reponse times [J].Journal of Education Measurement,2016,53(2):212-228.
[3] 郭磊,尚鹏丽,夏凌翔.心理与教育测验中反应时模型应用的优势与举例 [J].心理科学进展,2017,25(4):701-710.
[4]FAN Zhewen,WANG Chun,CHANG Huahua,et al. Utilizing response time distributions for item selection in CAT [J].Journal of Educational and Behavioral Statistics, 2012, 37(5):655-670.
[5] 郭治辰,汪大勋,蔡艳,等. 结合题目作答时间的计算机化自适应测验选题方法 [J]. 心理科学,2021,44(5):1241-1248.
[6] CHOE E M. Controlling item exposure for response time-informed item selection in computerized adaptive testing[D].Champaign:University of Illionois at Urbana-Champaign,2014.
[7] LINDEN W J.A lognormal model for response times on test items [J].Journal of Educational and Behavioral Statistics,2006,31(2):181-204.
[8] CHOE E M,JUSTIN L K,CHANG Huahua.Optimizing the use of response times for item selection in computerized adaptive testing [J].Journal of Educational and Behavioral Statistics,2018,43(2):135-158.
[9] 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),2015,39(1):17-20.
[10] 李佳,丁树良.多种分层方法在CAT校准误差中的应用研究 [J].江西师范大学学报(自然科学版),2016,39(1):69-72.
[11] 李佳,丁树良.计算机化自适应测验中能力估计新方法[J].江西师范大学学报(自然科学版),2019,43(2):111-115.
[12] CHENG Ying,JEFFREY M P,SHAO Can.a-stratified computerized adaptive testing in the presence of calibration [J].Educational and Psychological Measurement,2015,75(2):260-283.

相似文献/References:

[1]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,(04):446.
[2]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,(04):452.
[3]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,(04):101.
[4]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,(04):106.
[5]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.
　ZHANG Hu-chao,DING Shu-liang.Similar Distributed Stratification Method for Computerized Adaptive Testing[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(04):652.
[6]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,(04):657.
[7]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,(04):119.
[8]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,(04):449.
[9]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].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(04):363.
[10]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.
　DING Jialin,XIONG Jianhua,LUO Fen,et al.The Item Selection Strategies with Discrimination Constraint[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(04):377.
[11]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,(04):384.[doi:10.16357/j.cnki.issn1000-5862.2021.04.10]

备注/Memo

备注/Memo:
收稿日期:2023-03-12
基金项目: 国家自然科学基金(61967009, 62067004, 62267004, 62067005)资助项目.
作者简介:李 佳(1979—),女,江西南昌人,副教授,主要从事计算机辅助教学和心理测量方面的研究.E-mail:1276676143@qq.com
更新日期/Last Update: 2023-07-25