基于抽样原理的计算机化自适应测验选题策略
The New Item Selection Strategy for Computerized Adaptive Testing Based on Sampling Principle

沿用曝光控制因子的同时,基于抽样原理,引入区分度分布因子,按区分度的分布情况来选取测验中的项目.以lna～N(0,1)为例,Monte Carlo模拟结果表明:该方法在估计精度、效率和安全性等指标上表现得比较优异.
The exposure-control factors has been followed,at the same time,a discrimination-distribution factor has been introduced.According to the distribution of discrimination,the new item selectisn srategy to balance item usage exposure rate has been proposed.Suppose that ln1)and according to Monte Carlo simulation,the results show that the new approach has more preferably performance comparing with other approaches on several assessment indexes