This article examines the consequences of employing
IRT item bias detection procedures with multidimensional
IRT item data. Parameter linking methods
used in previous studies of item bias were investigated
in a simulation that minimized the need for such linking.
The results illustrate shortcomings of two linking
methods that have been employed in IRT item bias detection
studies. The effectiveness of these methods depended
on several factors, including the number of
biased items in a fixed-length test, whether bias was
against only one group or more than one group, and
the correlation between the two latent abilities. The
findings indicated that some current IRT-based statistical
procedures for detecting item bias were not generally
effective at differentiating biased from unbiased
items. Index terms: item bias, item response theory,
multidimensional IRT data, parameter linking, reverse
bias, statistical artifacts.
Lautenschlager, Gary J & Park, Dong-gun. (1988). IRT item bias detection procedures: Issues of model misspecification, robustness, and parameter linking. Applied Psychological Measurement, 12, 365-376. doi:10.1177/014662168801200404
Lautenschlager, Gary J.; Park, Dong-gun.
IRT item bias detection procedures: Issues of model misspecification, robustness, and parameter linking.
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