首页 | 本学科首页   官方微博 | 高级检索  
     检索      

计算机自适应测验中Rasch模型稳健性的模拟研究
引用本文:邓远平,蔡艳,罗照盛.计算机自适应测验中Rasch模型稳健性的模拟研究[J].考试研究,2006(3).
作者姓名:邓远平  蔡艳  罗照盛
作者单位:江西师范大学教育学院,江西师范大学数信学院,江西师范大学教育学院
摘    要:本研究采用模拟数据的方法,在计算机自适应测验(Computer Adaptive Test,简称CAT)中分别采用Rasch及Birnbaum两种模型估计能力,通过比较两者的误差均方根(Root Mean Square Error,简称RMSE)、平均差异(Average Deviation,简称AD)及能力相关,对Rasch模型在CAT中的稳健性进行了研究。结果发现Rasch模型在区分度不等的条件下仍然能较准确地估计被试的能力水平,具有很强的稳健性。

关 键 词:CAT  Rasch模型  Bimbaum模型  稳健性

A Simulation Study of Rasch Model's Robustness in Computerized Adaptive Test
Deng Yuanping Cai Yan Luo Zhaosheng Jiangxi Normal University,Jiangxi,Nangchang.A Simulation Study of Rasch Model's Robustness in Computerized Adaptive Test[J].Examinations Research,2006(3).
Authors:Deng Yuanping Cai Yan Luo Zhaosheng Jiangxi Normal University  Jiangxi  Nangchang
Institution:Deng Yuanping Cai Yan Luo Zhaosheng Jiangxi Normal University,Jiangxi,Nangchang,330027
Abstract:Computerized adaptive test (CAT) is based on Item response theory, select item according to some rule of Item-selecting and examinees responses to items to estimate the value of ability accurately The paper usesthe method of simulating data, estimate the value of ability with Rasch model and Birnbaum model respectively in the CAT, study the Rasch model s robustness through comparing Root Mean Square Error(RMSE) and Average Deviation (AD) and correlations of ability between Rasch model and Birnbaum model, the outcome finds the Rasch model in CAT is robust even if Rasch Model' s assumption (equal item discrimination parameters) can t be satisfied.
Keywords:CAT Rasch Model Birnbaum Model Robustness
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号