, Volume 66, Issue 1, pp 109–132

Testing for local dependency in dichotomous and polytomous item response models


DOI: 10.1007/BF02295736

Cite this article as:
Ip, E.H. Psychometrika (2001) 66: 109. doi:10.1007/BF02295736


Researchers studying item response models are often interested in examining the effects of local dependency on the validity of the resulting conclusion from statistical inference. This paper focuses on the detection of local dependency. We provide a framework for viewing local dependency within dichotomous and polytomous items that are clustered by design, and present a testing procedure that allows researchers to specifically identify individual item pairs that exhibit local dependency, while controlling for false positive rate. Simulation results from the study indicate that the proposed method is effective. In addition, a discussion of its relation to other existing methods is provided.

Key words

item response theory item cluster Mantel-Haenzsel test multiple inference NAEP DIMTEST Yen'sQ3 

Copyright information

© The Psychometric Society 2001

Authors and Affiliations

  1. 1.Marshall School of Business, Information and Operations Management DepartmentUniversity of Southern CaliforniaLos Angeles

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