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首页> 外文期刊>Journal of applied measurement >Exploring Aberrant Responses Using Person Fit and Person Response Functions
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Exploring Aberrant Responses Using Person Fit and Person Response Functions

机译:使用人员适应和人员反应功能探索异常反应

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摘要

Person fit statistics provide equivocal interpretations regarding aberrant responses. This study uses person response functions (PRF) to supplement the interpretation of person fit statistics. Sixty-three multiple-choice items were administered to a sample of persons (N=31) who used guessing strategies to answer them. After answering each item, participants indicated which guessing strategy they used. The data were analyzed with a Rasch (1960) model, where the item calibrations were anchored to values obtained when the items were appropriately administered. The participants showed poor model-data fit as expected. Further examination of person misfit using person response functions suggests that PRF can provide information about absolute person fit to a model, whereas fit statistics provide information about relative fit, given the other persons in the testing group. PRF can also provide information about where and how person responses misfit the model. This additional information can assist practitioners in using and interpreting individual scores appropriately.
机译:人体拟合统计数据提供了关于异常响应的模棱两可的解释。本研究使用人的反应函数(PRF)来补充对人的适应性统计的解释。对使用猜测策略回答问题的人员样本(N = 31)进行了63项多项选择题。回答完每个项目后,参与者指出他们使用了哪种猜测策略。使用Rasch(1960)模型分析数据,其中将项目校准锚定到适当管理项目时获得的值。参与者的模型数据拟合度较预期差。使用人员响应函数对人员不适合的进一步检查表明,PRF可以提供关于模型的绝对人员适合的信息,而给定测试组中的其他人员,适合统计可以提供有关相对适合的信息。 PRF还可以提供有关人员响应在何处以及如何与模型不匹配的信息。这些附加信息可以帮助从业人员适当地使用和解释各个分数。

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