Abstract
In the 3P model, a guessing parameter is estimated for each item, in addition to parameters for the item’s location and discrimination. The Rasch model makes no provision for guessing behaviour. Therefore, guessing affects item and person estimates. A person is most likely to show guessing if an item is very difficult for the person. Guessing can be diagnosed with the Rasch model, by removing the responses that have a high chance of being guessed because they are too difficult. The analysis of the modified matrix is referred to as a tailored analysis.
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Further Reading
Andrich, D., & Marais, I. (2014). Person proficiency estimates in the dichotomous Rasch model when random guessing is removed from difficulty estimates of multiple choice items. Applied Psychological Measurement,38(6), 432–449.
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Andrich, D., Marais, I. (2019). Fit of Responses to the Model IV—Guessing. In: A Course in Rasch Measurement Theory. Springer Texts in Education. Springer, Singapore. https://doi.org/10.1007/978-981-13-7496-8_17
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DOI: https://doi.org/10.1007/978-981-13-7496-8_17
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