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Rasch Models for Item Bundles

Published online by Cambridge University Press:  01 January 2025

Mark Wilson  and
Raymond J. Adams
Mark Wilson*
Affiliation:
University of California, Berkeley
Raymond J. Adams
Affiliation:
Australian Council for Educational Research
*
Requests for reprints should be sent to Mark Wilson, Graduate School of Education, University of California, Berkeley, CA 94720.
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Abstract

This paper discusses the application of a class of Rasch models to situations where test items are grouped into subsets and the common attributes of items within these subsets brings into question the usual assumption of conditional independence. The models are all expressed as particular cases of the random coefficients multinomial logit model developed by Adams and Wilson. This formulation allows a very flexible approach to the specification of alternative models, and makes model testing particularly straightforward. The use of the models is illustrated using item bundles constructed in the framework of the SOLO taxonomy of Biggs and Collis.

Keywords

item bundlesRasch modelpartial credit modelconditional independence
Type
Original Paper
Information
Psychometrika , Volume 60 , Issue 2 , June 1995 , pp. 181 - 198
Copyright
Copyright © 1995 The Psychometric Society

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Footnotes

The work of both authors was supported by fellowships from the National Academy of Education Spencer Fellowship.

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