Abstract
The partial credit model (PCM) by Masters (1982, this volume) is a unidimensional item response model for analyzing responses scored in two or more ordered categories. The model has some very desirable properties: it is an exponential family, so minimal sufficient statistics for both the item and person parameters exist, and it allows conditional-maximum likelihood (CML) estimation. However, it will be shown that the relation between the response categories and the item parameters is rather complicated. As a consequence, the PCM may not always be the most appropriate model for analyzing data.
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Verhelst, N.D., Glas, C.A.W., de Vries, H.H. (1997). A Steps Model to Analyze Partial Credit. In: van der Linden, W.J., Hambleton, R.K. (eds) Handbook of Modern Item Response Theory. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2691-6_7
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DOI: https://doi.org/10.1007/978-1-4757-2691-6_7
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