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中文摘要：
对程莹提出的最大优先级指标方法中会出现违反约束条件及偏向选择相对约束条件少的项目的情况进行改进,并通过蒙特卡洛模拟考察改进的最大优先级指标方法与原最大优先级指标方法之间的优劣,研究结果表明：改进的最大优先级指标方法在约束条件控制和能力估计的准确性方面均好于原最大优先级指标方法.
英文摘要：
Maximum priority index method,advanced by Cheng Ying,sometimes violates constraints and tends to choose those items with less constraints.To overcome the above disadvantages,an improved maximum priority index method is proposed in this study.Monte Carlo simulation is employed to compare the superiority of two methods.Results indicate that the improved maximum priority index method not only controls constraints suc-cessfully but also makes estimates of examinees＇ abilities more precise.
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