TY - JOUR T1 - An item response model for characterizing test compromise JF - Journal of Educational and Behavioral Statistics Y1 - 2002 A1 - Segall, D. O. KW - computerized adaptive testing AB - 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. VL - 27 N1 - References .American Educational Research Assn, US ER -