An Item Response Model for Characterizing Test Compromise

Daniel O. Segall

Journal of Educational and Behavioral Statistics, 2002, vol. 27, issue 2, 163-179

Abstract: This article presents an item response model for characterizing test-compromise that enables the estimation of item-preview and score-gain distributions observed in on-demand high-stakes testing programs. Model parameters and posterior distributions are estimated by Markov Chain Monte Carlo (MCMC) procedures. Results of a simulation study suggest that when at least some of the items taken by a small sample of test takers are known to be secure (uncompromised), the procedure can provide useful summaries of test-compromise and its impact on test scores. The article includes discussions of operational use of the proposed procedure, possible model violations and extensions, and application to computerized adaptive testing.

Keywords: Keywords: item response theory; Markov Chain Monte Carlo; test-compromise (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:27:y:2002:i:2:p:163-179

DOI: 10.3102/10769986027002163

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