Abstract
Bounds are established for log odds ratios (log cross-product ratios) involving pairs of items for item response models. First, expressions for bounds on log odds ratios are provided for one-dimensional item response models in general. Then, explicit bounds are obtained for the Rasch model and the two-parameter logistic (2PL) model. Results are also illustrated through an example from a study of model-checking procedures. The bounds obtained can provide an elementary basis for assessment of goodness of fit of these models.
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Any opinions expressed in this publication are those of the authors and not necessarily those of the Educational Testing Service.
The authors thank Dan Eignor, Matthias von Davier, Lydia Gladkova, Brian Junker, and the three anonymous reviewers for their invaluable advice. The authors gratefully acknowledge the help of Kim Fryer with proofreading.
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Haberman, S.J., Holland, P.W. & Sinharay, S. Limits on Log Odds Ratios for Unidimensional Item Response Theory Models. Psychometrika 72, 551–561 (2007). https://doi.org/10.1007/s11336-007-9009-0
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DOI: https://doi.org/10.1007/s11336-007-9009-0