摘要
沿用引入曝光控制因子的CAT选题策略中所提出的曝光控制因子,同时将定长测验的测验长度以及不定长测验中被试累积信息量加入到新选题策略中,提出了在不分层的条件下自动控制区分度作用的选题策略.蒙特卡洛模拟结果表明:新方法在项目调用均匀性、测验效率等评价指标上效果均较为理想.
Combining the exposure control factor proposed by Cheng Xiao-yang with the ratio of the test length administered for fixed tests or the ratio of the test information administered for variable length tests to construct a new item selection strategy, and the new strategy can control the role of discrimination index automatically without stratification of the item pool during the course of computerized adaptive testing. The results of Monte Carlo simulations show that the new approach is more ideal in the performance of item exposure control and test efficiency and other indexes.
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2013年第1期101-105,共5页
Journal of Jiangxi Normal University(Natural Science Edition)
基金
国家自然科学基金(30860084
31160203
31100756)资助项目
关键词
项目曝光控制
选题策略
计算机化自适应测验
item exposure-control factor
item selection strategy
computerized adaptive testing
