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首页> 外文期刊>Applied Psychological Measurement >Detection Rates of the M-2 Test for Nonzero Lower Asymptotes Under Normal and Nonnormal Ability Distributions in the Applications of IRT
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Detection Rates of the M-2 Test for Nonzero Lower Asymptotes Under Normal and Nonnormal Ability Distributions in the Applications of IRT

机译:在IRT应用中正常和非正式能力分布下非零渐近渐近的M-2测试的检测速率

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摘要

When considering the two-parameter or the three-parameter logistic model for item responses from a multiple-choice test, one may want to assess the need for the lower asymptote parameters in the item response function and make sure the use of the three-parameter item response model. This study reports the degree of sensitivity of an overall model test M-2 to detecting the presence of nonzero asymptotes in the item response function under normal and nonnormal ability distribution conditions.
机译:在考虑来自多项选择测试的项目响应的两个参数或三个参数逻辑模型时,可能希望评估项目响应函数中较低的渐近参数的需求,并确保使用三个参数 项目响应模型。 本研究报告了整体模型测试M-2的灵敏度程度,以检测在正常和非正式能力分布条件下物品响应功能中的非零渐近存在的存在。

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