Methods for detecting item parameter drift may be inadequate when every exposed item is at risk for drift. To address this scenario, a strategy for detecting item parameter drift is proposed that uses only unexposed items deployed in a stratified random method within an experimental design. The proposed method is illustrated by investigating unexpected score increases on a high-stakes licensure exam. Results for this example were suggestive of item parameter drift but not significant at the .05 level.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11760077PMC
http://dx.doi.org/10.1177/01466216251316282DOI Listing

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