%0 Journal Article %J Educational and Psychological Measurement %D 2009 %T Direct and inverse problems of item pool design for computerized adaptive testing %A Belov, D. I. %A Armstrong, R. D. %B Educational and Psychological Measurement %V 69 %P 533-547 %G eng %0 Journal Article %J European Journal of Operational Research %D 2009 %T A mixed integer programming model for multiple stage adaptive testing %A Edmonds, J. %A Armstrong, R. D. %K Education %K Integer programming %K Linear programming %X The last decade has seen paper-and-pencil (P&P) tests being replaced by computerized adaptive tests (CATs) within many testing programs. A CAT may yield several advantages relative to a conventional P&P test. A CAT can determine the questions or test items to administer, allowing each test form to be tailored to a test taker's skill level. Subsequent items can be chosen to match the capability of the test taker. By adapting to a test taker's ability, a CAT can acquire more information about a test taker while administering fewer items. A Multiple Stage Adaptive test (MST) provides a means to implement a CAT that allows review before the administration. The MST format is a hybrid between the conventional P&P and CAT formats. This paper presents mixed integer programming models for MST assembly problems. Computational results with commercial optimization software will be given and advantages of the models evaluated. %B European Journal of Operational Research %V 193 %P 342-350 %@ 0377-2217 %G eng %0 Journal Article %J Applied Psychological Measurement %D 2008 %T A monte carlo approach for adaptive testing with content constraints %A Belov, D. I. %A Armstrong, R. D. %A Weissman, A. %B Applied Psychological Measurement %V 32 %P 431-446 %R 10.1177/0146621607309081 %0 Journal Article %J Applied Psychological Measurement %D 2004 %T Computerized adaptive testing with multiple-form structures %A Armstrong, R. D. %A Jones, D. H. %A Koppel, N. B. %A Pashley, P. J. %K computerized adaptive testing %K Law School Admission Test %K multiple-form structure %K testlets %X A multiple-form structure (MFS) is an ordered collection or network of testlets (i.e., sets of items). An examinee's progression through the network of testlets is dictated by the correctness of an examinee's answers, thereby adapting the test to his or her trait level. The collection of paths through the network yields the set of all possible test forms, allowing test specialists the opportunity to review them before they are administered. Also, limiting the exposure of an individual MFS to a specific period of time can enhance test security. This article provides an overview of methods that have been developed to generate parallel MFSs. The approach is applied to the assembly of an experimental computerized Law School Admission Test (LSAT). (PsycINFO Database Record (c) 2007 APA, all rights reserved) %B Applied Psychological Measurement %I Sage Publications: US %V 28 %P 147-164 %@ 0146-6216 (Print) %G eng %M 2004-13800-001 %0 Conference Paper %B Paper presented at the annual meeting of the National Council on Measurement in Education %D 2004 %T A study of multiple stage adaptive test designs %A Armstrong, R. D. %A Edmonds, J. %B Paper presented at the annual meeting of the National Council on Measurement in Education %C San Diego CA %G eng %0 Conference Paper %B Paper presented at the annual meeting of the National Council on Measurement in Education %D 2003 %T The assembly of multiple form structures %A Armstrong, R. D. %A Little, J. %B Paper presented at the annual meeting of the National Council on Measurement in Education %C Chicago IL %G eng %0 Generic %D 2003 %T The assembly of multiple stage adaptive tests with discrete items %A Armstrong, R. D. %A Edmonds, J.J. %C Newtown, PA: Law School Admission Council Report %G eng %0 Generic %D 2003 %T A method to determine targets for multi-stage adaptive tests %A Armstrong, R. D. %A Roussos, L. %C Unpublished manuscript %G eng %0 Generic %D 1998 %T Computer adaptive testing – Approaches for item selection and measurement %A Armstrong, R. D. %A Jones, D. H. %C Rutgers Center for Operations Research, New Brunswick NJ %G eng %0 Conference Paper %B Paper presented at the annual meeting of the Psychometric Society %D 1998 %T Computerized adaptive testing with multiple form structures %A Armstrong, R. D. %A Jones, D. H. %A Berliner, N. %B Paper presented at the annual meeting of the Psychometric Society %C Urbana, IL %G eng