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Cited by 607

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Application of a Method of Estimating DIF for Polytomous Test Items

Camilli, Gregory, Congdon, Peter·1999·Journal of Educational and Behavioral Statistics

Abstract

In this paper, a method for studying DIF is demonstrated that can used with either dichotomous or polytomous items. The method is shown to be valid for data that follow a partial credit IRT model. It is also shown that logistic regression gives results equivalent to those of the proposed method. In a simulation study, positively biased type 1 error rates of the method are shown to be in accord with results from previous studies; however, the size of the bias in the log odds is moderate. Finally, it is demonstrated how these statistics can be used to study DIF variability with the method of Longford, Holland, & Thayer (1993) .

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Metadata

Authors
Camilli, G., & Congdon, P.
Venue
Journal of Educational and Behavioral Statistics
Published
1999
Volume
24
Issue
4
Pages
323
ISSN
1076-9986 (ISSN-L)
OpenAlex
W2088379584
Cited by
607
References
3
FWCI
11.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Application of a Method of Estimating DIF for Polytomous Test Items. https://app.cochat.ai/papers/10.2307/1165366
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Camilli, G., & Congdon, P. (1999). Application of a Method of Estimating DIF for Polytomous Test Items. Journal of Educational and Behavioral Statistics. https://doi.org/10.2307/1165366

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.