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ERIC Number: EJ1092447
Record Type: Journal
Publication Date: 2016
Pages: 23
Abstractor: As Provided
ISSN: ISSN-0022-0655
Assessment of Person Fit Using Resampling-Based Approaches
Sinharay, Sandip
Journal of Educational Measurement, v53 n1 p63-85 Spr 2016
De la Torre and Deng suggested a resampling-based approach for person-fit assessment (PFA). The approach involves the use of the [math equation unavailable] statistic, a corrected expected a posteriori estimate of the examinee ability, and the Monte Carlo (MC) resampling method. The Type I error rate of the approach was closer to the nominal level than that of the traditional approach of using [math equation unavailable] along with the assumption of a standard normal null distribution. This article suggests a generalized resampling-based approach for PFA that allows one to employ [math equation unavailable] or another person-fit statistic (PFS) based on item response theory, the corrected expected a posteriori estimate or another ability estimate, and the MC method or another resampling method. The suggested approach includes the approach of de la Torre and Deng as a special case. Several approaches belonging to the generalized approach perform very similarly to the approach of de la Torre and Deng's in two simulation studies and in applications to three real data sets, irrespective of the PFS used. The generalized approach promises to be useful to those interested in resampling-based PFA.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A