DSpace DSpace

University of Minnesota Digital Conservancy >
University of Minnesota - Twin Cities >
Applied Psychological Measurement >
Volume 16, 1992 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/116199

Title: Effect of sample size, number of biased items, and magnitude of bias on a two-stage item bias estimation method
Authors: Miller, M. David
Oshima, T. C.
Issue Date: 1992
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. Applied Psychological Measurement, 16, 381-388. doi:10.1177/014662169201600410
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.
URI: http://purl.umn.edu/116199
Appears in Collections:Volume 16, 1992

Files in This Item:

File Description SizeFormat
v16n4p381.pdf816.78 kBPDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.