[1]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):69-72.
 LI Jia,DING Shuliang,FANG Jianying.The Comparison of Item Selection Strategies Based on Average Type[J].,2015,(01):69-72.
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基于平均数形式的选题策略比较()
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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:
2015年01期
页码:
69-72
栏目:
出版日期:
2015-02-10

文章信息/Info

Title:
The Comparison of Item Selection Strategies Based on Average Type
作者:
李佳;丁树良;方剑英
江西师范大学计算机信息工程学院,江西 南昌 330022
Author(s):
LI JiaDING ShuliangFANG Jianying
关键词:
选题策略 改进的最大优先级指标方法 平均数形式
Keywords:
item selection strategy improved maximum priority index average type
分类号:
B 841.7; TP 301.6
文献标志码:
A
摘要:
在3PLM模型下,将改进的最大优先级指标(MMPI)方法和各类平均数形式相结合得到的4种新选题策略在提高测验精度、控制项目曝光均匀性、降低平均违规次数、提高题库利用率等方面均表现更好.经定长测验和不定长测验的蒙特卡洛模拟,MMPI下算术平方根平均数形式的选题策略表现最优.
Abstract:
A new item selection strategies named MMPI with four kinds average types on 3PLM has been put forward.The results of Monte Carlo simulations of fixed length tests and variable length tests show that the MMPI with four kinds average type approaches are more ideal in the performance of improvement the test precision,control the exposure uniformity,reducing the average number of violations and improve the bank utilization.Especially,the MMPI with root square of arithmetic average type is the best one.

参考文献/References:

[1] Lord F M.Application of item response theory to practical testing problems [M].Hillsdale NJ:Erlbaum Associates,1980.
[2] Chang Huahua,Ying Zhiliang.a-stratified multistage computerized adaptive testing [J].Applied Psychological Measurement,1999,23(3):211-222.
[3] Chang Huahua,Qian Jiahe,Ying Zhiliang.a-stratified multistage computerized adaptive testing with b blocking [J].Applied Psychological Measurement,2001,25(4):333-341.
[4] Cheng Ying,Chang Huahua.The maximum priority index method for severely constrained item selection in computerized adaptive testing [J].British Journal of Mathematical and Statistical Psychology,2009,62(2):369-383.
[5] Buyske S.Optimal design in educational testing [J].Applied Optimal Designs,2005,46(2):1-19.
[6] Cheng Ying,Chang Huahua,Douglas Jeffery,et al.Constraint-weighted a-stratification for computerized adaptive testing with nonstatistical constraints [J].Educational and Psychological Measurement,2009,69(1):35-49.
[7] 潘奕娆,丁树良,尚志勇.改进的最大优先级指标方法 [J].江西师范大学学报:自然科学版,2011,35(2):213-215.
[8] 潘奕娆.改进的最大优先指标及在计算机化自适应诊断测验中的应用 [D].南昌:江西师范大学,2011.
[9] Kingsbury G G,Zara A R.Procedures for selecting items for computerized adaptive test [J].Applied Measure in Education,1991(2):359-375.
[10] Cheng Ying.Computerized adaptive testing:new developments and applications [D].Urbana-Champaign:University of Illinois,2008.
[11] Cheng Ying,Jeffrey M P,Can Shao.a-stratified computerized adaptive testing in the presence of calibration [J].Educational and Psychological Measurement,2014,21(1):1-24.
[12] 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.
[13] 李萍,甘登文,丁树良,等.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,2013,37(1):101-105.

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备注/Memo

备注/Memo:
国家自然科学基金(30860084,31160203,31100756,31360237,11401271);教育学青年课题教育虚拟社区的群集智能化构建方法研究(CCA110109);江西省教育厅科技计划(GJJ13207,GJJ13206,GJJ13227,GJJ133208,GJJ13209)
更新日期/Last Update: 1900-01-01