Abstract
Since Rasch’s introduction of his item response models (Rasch, 1960), there has been a proliferation of extensions and alternatives, each of which has a different name and different matching software package. As Adams, Wilson, & Wang (1997) pointed out, the proliferation of models has, in some ways, been a hindrance to practitioners. This paper presents a generalized item response model that provides a unifying framework for a large class of Rasch-type models. The advantages of a single framework include mathematical elegance, generality in a single software package, and a facilitation of the development, testing, and comparison of new models.
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© 2007 Springer Science + Business Media, LLC
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Adams, R.J., Wu, M.L. (2007). The Mixed-Coefficients Multinomial Logit Model: A Generalized Form of the Rasch Model. In: Multivariate and Mixture Distribution Rasch Models. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49839-3_4
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DOI: https://doi.org/10.1007/978-0-387-49839-3_4
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-32916-1
Online ISBN: 978-0-387-49839-3
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