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Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
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Miller, Timothy R.; Spray, Judith A. – Journal of Educational Measurement, 1993
Presents logistic discriminant analysis as a means of detecting differential item functioning (DIF) in items that are polytomously scored. Provides examples of DIF detection using a 27-item mathematics test with 1,977 examinees. The proposed method is simpler and more practical than polytomous extensions of the logistic regression DIF procedure.…
Descriptors: Discriminant Analysis, Item Bias, Mathematical Models, Mathematics Tests
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Reckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis