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The Study of Item Selection Strategy-Automatic Control for the Role of Discrimination Index

LI Ping,GAN Deng-wen*,DING Shu-liang(Institute of Computer Information and Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China)  
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.
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