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The Maximum Information Stratification Method with Content Balancing in Computerized Adaptive Testing

ZHAN Pei-da,WANG Li-jun*,YANG Wei-min(Department of Psychology,Zhejiang Normal University,Jinhua Zhejiang 321004,China)  
In 0-1 scored CAT,a new item selection strategy is proposed to improve the MIS-B method by introducing the Modified Multinomial Model.The results of Monte Carlo simulations show that compared with MIS-B,the approach proposed in this paper can reducing item overexposure rate,balancing item usage within the item bank,and maintaining measurement precision.
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