[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):446-451.
　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,(05):446-451.
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等级评分模型下的最大信息量分层选题策略()
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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:
2012年05期
页码:
446-451
栏目:
出版日期:
2012-10-01

文章信息/Info

Title:
The Stratified Item Selection Strategy with Maximal Information under Graded Response Model
作者:
程小扬;丁树良;朱隆尹;巫华芳
赣南师范学院数学与计算机科学学院, 江西 赣州341000；江西师范大学计算机信息工程学院, 江西 南昌 330022
Author(s):
CHENG Xiao-yang;  DING Shu-liang;  ZHU Long-yin;  WU Hua-fang
关键词:
计算机化自适应测验; 等级反应模型; 最大信息量分层法; 选题策略
Keywords:
computerized adaptive testing;  Graded Response Model;  Item Selection Strategies
分类号:
O626.4
文献标志码:
A
摘要:
对于0-1评分模型, R. B.Juan等提出了最大信息量分层选题策略,将此选题策略应用到等级反应评分模型(GRM)中,即以项目 j 的最大信息量 max ()I j 作为分层的依据,以取得该项目的最大信息量时能力点值θmax ()j作为项目的综合难度,分别用 max ()I j 与 max ()jθ替代张华华等提出的按a分层和按b分块按a分层方法中的a、b参数,形成最大信息量按a分层选题策略(MI-AS)和最大信息量按b分块按a分层方法(MI-BS).模拟实验结果表明:MI-AS和MI-BS方法较传统的按a分层方法要好.
Abstract:
The stratified item selection strategy with maximal information proposed by Juan R. B. is applied to graded response model. Item j’s maximal information is taken as the basis of stratificaton, and the ability value where the item j reaches its maximal information is taken as item j’s comprehensive difficulty. The parameter a and b in the a-stratified method(AS) and a-stratified method with b blocking (BS) proposed by Chang Huahua et al. are replaced by and , respectively, so as to form MI-AS method and MI-BS method. The simulation experiments demonstrate that MI-AS and MI-BS are better than traditional AS and BS.

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更新日期/Last Update: 1900-01-01