The Number of Guttman Errors as a Simple and Powerful Person-Fit Statistic

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL Applied Psychological Measurement Pub Date : 1994-12-01 DOI:10.1177/014662169401800402
R. Meijer
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引用次数: 93

Abstract

A number of studies have examined the power of several statistics that can be used to detect examinees with unexpected (nonfitting) item score patterns, or to determine person fit. This study compared the power of the U3 statistic with the power of one of the sim plest person-fit statistics, the sum of the number of Guttman errors. In most cases studied, (a weighted version of) the latter statistic performed as well as the U3 statistic. Counting the number of Guttman errors seems to be a useful and simple alternative to more complex statistics for determining person fit. Index terms: aberrance detection, appropriateness measure ment, Guttman errors, nonparametric item response theory, person fit.
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Guttman误差数作为一种简单而有效的人-拟合统计量
许多研究已经检验了几种统计数据的力量,这些统计数据可用于检测具有意外(不拟合)项目得分模式的考生,或确定人的适合度。本研究比较了U3统计量的功率与最简单的人-拟合统计量之一的功率,即Guttman误差数量的总和。在研究的大多数情况下,后一种统计数据(加权版本)的表现与U3统计数据一样好。计算Guttman误差的数量似乎是一个有用的和简单的替代更复杂的统计来确定人的适合性。指标项:异常检测、适当性测量、Guttman误差、非参数项目反应理论、人的拟合。
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
期刊最新文献
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