Abstract
Person-fit methods based on classical test theory-and item response theory (IRT), and methods investigating particular types of response behavior on tests, are examined. Similarities and differences among person-fit methods and their advantages and disadvantages are discussed. Sound person-fit methods have been derived for the Rasch model. For other IRT models, the empirical and theoretical distributions differ for most person-fit statistics when used with short and moderate length tests. The detection rate of person-fit statistics depends on the type of misfitting item-score patterns, test length, and trait levels. The usefulness of person-fit statistics for improving measurement depends on the application.
Original language | English |
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Pages (from-to) | 107-135 |
Number of pages | 28 |
Journal | Applied psychological measurement |
Volume | 25 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2001 |