摘要
计算机化自适应测验(computerized adaptive testing,CAT)是基于测量理论和计算机技术的一种测验模式。它根据考生的作答反应自适应地选择测验项目。选题策略是CAT的重要组成部分之一,关系到测量效率、测验安全和测验信、效度等重要问题。根据CAT是否具有非统计约束对传统CAT和认知诊断CAT的选题策略进行了分类介绍,未来研究应进一步提高选题策略的综合表现、深入探讨多级评分项目和认知诊断CAT的选题策略。
Computerized adaptive testing(CAT) is a kind of test model,which is based on the measurement theory and computer techniques.It selects items according to each examinee's answers of the previous items.Item selection method is an important component of a computerized adaptive testing and has significant effects on the measurement efficiency,test security,test reliability and validity.According to whether there are some non-statistical constraints,item selection methods are classified into different categories.Then the item selection methods developed for traditional CAT and cognitive diagnostic CAT are introduced and evaluated separately.At last,future studies should improve the synthesis performances of item selection methods and pay more attention to examine item selection methods for polytomous scoring items and cognitive diagnostic CAT.
出处
《心理科学进展》
CSSCI
CSCD
北大核心
2011年第10期1552-1562,共11页
Advances in Psychological Science
基金
教育部新世纪优秀人才支持计划(NCET-07-0097)基金资助
关键词
计算机化自适应测验
选题策略
测量准确性
非统计约束
computerized adaptive testing
item selection method
measurement accuracy
non-statistical constraint