The number of Guttman errors as a simple and powerful person-fit statistic
作者： Rob R. Meijer
DOI: 10.1177/014662169401800402
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摘要: A number of studies have examined the power several statistics that can be used to detect examinees with unexpected (nonfitting) item score patterns, or determine person fit. This study compared U3 statistic one simplest person-fit statistics, sum Guttman errors. In most cases studied, (a weighted version of) latter performed as well statistic. Counting errors seems a useful and simple alternative more complex for determining Index terms: aberrance detection, appropriateness measurement, errors, nonparametric response theory,
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