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Effect of sample size, number of biased items, and magnitude of bias on a two-stage item bias estimation method
Miller, M. David; Oshima, T. C. (1992)
 

Title 
Effect of sample size, number of biased items, and magnitude of bias on a two-stage item bias estimation method

Issue Date
1992

Type
Article

Abstract
A two-stage procedure for estimating item bias was examined with six indexes of item bias and with the Mantel-Haenszel (MH) statistic; the sample size, the number of biased items, and the magnitude of the bias were varied. The second stage of the procedure did not identify substantial numbers of false positives (unbiased items identified as biased). However, the identification of true positives in the second stage was useful only when the magnitude of the bias was not small and the number of biased items was large (20% or 40% of the test). The weighted indexes tended to identify more true and false positives than their unweighted item response theory counterparts. Finally, the MH statistic identified fewer false positives, but did not identify small bias as well as the item response theory indexes. Index terms: differential item functioning, item bias, Mantel-Haenszel statistic, two-stage bias estimation.

Appears in Collection(s)

Other Identifier(s)
other: doi:10.1177/014662169201600410

Suggested Citation
Miller, M. David; Oshima, T. C.. (1992). Effect of sample size, number of biased items, and magnitude of bias on a two-stage item bias estimation method. Retrieved from the University of Minnesota Digital Conservancy, http://purl.umn.edu/116199.


Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.