Abstract
The partial credit model, developed by Masters (1982), is a unidimensional latent trait model for responses scored in two or more ordered categories. In the present paper some extensions of the model are presented. First, a marginal maximum likelihood estimation procedure is developed which allows for incomplete data and linear restrictions on both the item and the population parameters. Secondly, two statistical tests for evaluating model fit are presented: the former test has power against violation of the assumption about the ability distribution, the latter test offers the possibility of identifying specific items that do not fit the model.
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The authors are indepted to professor Wim van der Linden and Huub Verstralen for their helpful comments.
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Glas, C.A.W., Verhelst, N.D. Extensions of the partial credit model. Psychometrika 54, 635–659 (1989). https://doi.org/10.1007/BF02296401
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DOI: https://doi.org/10.1007/BF02296401