Abstract
In the polytomous Rasch model (PRM) rating scale parameterization—one set of thresholds is estimated for all items. In the PRM partial credit parameterisation—a different set of thresholds are estimated for each of the items. A category coefficient\( \kappa_{k} \) is the negative sum of the exceeded thresholds for response category k. The slope of the expected value curve is the rate of change of the expected value at the location value of the item—it is a function of the distance between the thresholds. Latent threshold curvescan be inferred for each polytomousitem. Disorderedthresholds show that an item’s response categories are not functioning in the intended order.
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Exercises
Exercises
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Exercise 2: Basic analysis of dichotomous andpolytomousresponses in Appendix C.
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Exercise 4: Advanced analysis ofpolytomousresponses in Appendix C.
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Andrich, D., Marais, I. (2019). The Polytomous Rasch Model II. In: A Course in Rasch Measurement Theory. Springer Texts in Education. Springer, Singapore. https://doi.org/10.1007/978-981-13-7496-8_21
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DOI: https://doi.org/10.1007/978-981-13-7496-8_21
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