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ERIC Number: ED467368
Record Type: Non-Journal
Publication Date: 2001
Pages: 44
Abstractor: N/A
Reference Count: N/A
Diagnosing Item Score Patterns Using IRT Based Person-Fit Statistics. Research Report.
Meijer, Rob R.
Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. This study investigated how these statistics can be used to detect different types of misfit. Intelligence test data for 992 people at or beyond college level were analyzed using person-fit statistics in the context of the Rasch model and Mokkens IRT models (R. Mokken, 1997). The sensitivity for different types of misfit was illustrated. The effect of the choice of an IRT model to detect person misfit and the usefulness of person-fit statistics as a diagnostic instrument are discussed. (Contains 1 figure, 7 tables, and 52 references.) (Author/SLD)
Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.