Diagnosing item score patterns on a test using item response theory-based person-fit statistics

被引：56
|
作者：
Meijer, RR [1 ]
机构：
[1] Univ Twente, Dept Measurement & Data Anal, Fac Behav Sci, NL-7500 AE Enschede, Netherlands
来源：
PSYCHOLOGICAL METHODS | 2003年 / 8卷 / 01期
关键词：
D O I：
10.1037/1082-989X.8.1.72
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the choice of an IRT model to detect misfitting item score patterns and the usefulness of person-fit statistics for diagnosis of misfit are discussed. Results showed that different types of person-fit statistics can be used to detect different kinds of person misfit. Parametric person-fit statistics had more power than nonparametric person-fit statistics.
引用
收藏
页码：72 / 87
页数：16
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