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Luo, Xiao; Wang, Xinrui – International Journal of Testing, 2019
This study introduced dynamic multistage testing (dy-MST) as an improvement to existing adaptive testing methods. dy-MST combines the advantages of computerized adaptive testing (CAT) and computerized adaptive multistage testing (ca-MST) to create a highly efficient and regulated adaptive testing method. In the test construction phase, multistage…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Psychometrics
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Kettler, Ryan J. – Review of Research in Education, 2015
This chapter introduces theory that undergirds the role of testing adaptations in assessment, provides examples of item modifications and testing accommodations, reviews research relevant to each, and introduces a new paradigm that incorporates opportunity to learn (OTL), academic enablers, testing adaptations, and inferences that can be made from…
Descriptors: Meta Analysis, Literature Reviews, Testing, Testing Accommodations
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Jacobsen, Jared; Ackermann, Richard; Eguez, Jane; Ganguli, Debalina; Rickard, Patricia; Taylor, Linda – Journal of Applied Testing Technology, 2011
A computer adaptive test (CAT) is a delivery methodology that serves the larger goals of the assessment system in which it is embedded. A thorough analysis of the assessment system for which a CAT is being designed is critical to ensure that the delivery platform is appropriate and addresses all relevant complexities. As such, a CAT engine must be…
Descriptors: Delivery Systems, Testing Programs, Computer Assisted Testing, Foreign Countries
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2000
Item selection methods in computerized adaptive testing (CAT) can yield extremely skewed item exposure distribution in which items with high "a" values may be over-exposed while those with low "a" values may never be selected. H. Chang and Z. Ying (1999) proposed the a-stratified design (ASTR) that attempts to equalize item…
Descriptors: Adaptive Testing, Computer Assisted Testing, Selection, Test Construction
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Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Educational and Psychological Measurement, 2003
Studied three stratification designs for computerized adaptive testing in conjunction with three well-developed content balancing methods. Simulation study results show substantial differences in item overlap rate and pool utilization among different methods. Recommends an optimal combination of stratification design and content balancing method.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Simulation
Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – 2001
The multistage alpha-stratified computerized adaptive testing (CAT) design advocated a new philosophy of pool management and item selection using low discriminating items first. It has been demonstrated through simulation studies to be effective both in reducing item overlap rate and enhancing pool utilization with certain pool types. Based on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
Luecht, Richard M. – 2003
This paper presents a multistage adaptive testing test development paradigm that promises to handle content balancing and other test development needs, psychometric reliability concerns, and item exposure. The bundled multistage adaptive testing (BMAT) framework is a modification of the computer-adaptive sequential testing framework introduced by…
Descriptors: Adaptive Testing, Computer Assisted Testing, High Stakes Tests, Mastery Tests
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Eignor, Daniel R. – Journal of Educational Measurement, 1997
The authors of the "Guidelines," a task force of eight, intend to present an organized list of features to be considered in reporting or evaluating computerized-adaptive assessments. Apart from a few weaknesses, the book is a useful and complete document that will be very helpful to test developers. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Evaluation Methods, Guidelines
van der Linden, Wim J.; Reese, Lynda M. – 1997
A model for constrained computerized adaptive testing is proposed in which the information in the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation