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Rasch models for item bundles
 Mark Wilson,
 Raymond J. Adams
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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.
The work of both authors was supported by fellowships from the National Academy of Education Spencer Fellowship.
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 Title
 Rasch models for item bundles
 Journal

Psychometrika
Volume 60, Issue 2 , pp 181198
 Cover Date
 19950601
 DOI
 10.1007/BF02301412
 Print ISSN
 00333123
 Online ISSN
 18600980
 Publisher
 SpringerVerlag
 Additional Links
 Topics
 Keywords

 item bundles
 Rasch model
 partial credit model
 conditional independence
 Industry Sectors
 Authors

 Mark Wilson ^{(1)}
 Raymond J. Adams ^{(2)}
 Author Affiliations

 1. Graduate School of Education, University of California, 94720, Berkeley, CA
 2. Australian Council for Educational Research, Australia