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Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/119467

Title: A multidimensionality-based DIF analysis paradigm
Authors: Roussos, Louis
Stout, William
Issue Date: 1996
Citation: Roussos, Louis & Stout, William. (1996). A multidimensionality-based DIF analysis paradigm. Applied Psychological Measurement, 20, 355-371. doi:10.1177/014662169602000404
Abstract: A multidimensionality-based differential item functioning (DIF) analysis paradigm is presented that unifies the substantive and statistical DIF analysis approaches by linking both to a theoretically sound and mathematically rigorous multidimensional conceptualization of DIF. This paradigm has the potential (1) to improve understanding of the causes of DIF by formulating and testing substantive dimensionality-based DIF hypotheses; (2) to reduce Type 1 error through a better understanding of the possible multidimensionality of an appropriate matching criterion; and (3) to increase power through the testing of bundles of items measuring similar dimensions. Using this approach, DIF analysis is shown to have the potential for greater integration in the overall test development process. Index terms: bias, bundle DIF, cluster analysis, DIF estimation, DIF hypothesis testing, differential item functioning, dimensionality, DIMTEST, item response theory, multidimensionality, sensitivity review, SIBTEST.
URI: http://purl.umn.edu/119467
Appears in Collections:Volume 20, 1996

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