A Comparison of Techniques for Detecting Cross-Cultural Inequivalence at the Item Level

A Comparison of Techniques for Detecting Cross-Cultural Inequivalence at the Item Level This paper uses a Monte Carlo study to compare some DIFdetection techniques with respect to their ability to detect uniform aswell as nonuniform item bias.The techniques that are used in the comparison are the loglinearmodel, the logistic regression model, the signed and the unsignedarea between the item characteristic curves, the SOS1 and theSOS3 measure. A first Monte Carlo study was set up to assess theempirical distributions of the unsigned area (in the 2-PLM), theSOS1 and the SOS3 measures. A second simulation study compares all these techniques with respect to their ability to detect DIF. It was alsoinvestigated whether using a two-stage approachyields better results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

A Comparison of Techniques for Detecting Cross-Cultural Inequivalence at the Item Level

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2002 by Kluwer Academic Publishers
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1023/A:1016094700288
Publisher site
See Article on Publisher Site

Abstract

This paper uses a Monte Carlo study to compare some DIFdetection techniques with respect to their ability to detect uniform aswell as nonuniform item bias.The techniques that are used in the comparison are the loglinearmodel, the logistic regression model, the signed and the unsignedarea between the item characteristic curves, the SOS1 and theSOS3 measure. A first Monte Carlo study was set up to assess theempirical distributions of the unsigned area (in the 2-PLM), theSOS1 and the SOS3 measures. A second simulation study compares all these techniques with respect to their ability to detect DIF. It was alsoinvestigated whether using a two-stage approachyields better results.

Journal

Quality & QuantitySpringer Journals

Published: Oct 13, 2004

References

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