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Kane, Michael T.; Tannenbaum, Richard J. – Measurement: Interdisciplinary Research and Perspectives, 2016
It is one thing to produce an innovative, construct-based assessment task; it's another to produce 10 a year that are comparable in difficulty, measure the same competencies, are free of differential item functioning, and can be scaled and equated. These challenges contributed to the failure of the performance (or authentic) assessment movement of…
Descriptors: Computer System Design, Computer Assisted Testing, Courseware, Science Education
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Wise, Steven L. – Measurement: Interdisciplinary Research and Perspectives, 2015
The growing presence of computer-based testing has brought with it the capability to routinely capture the time that test takers spend on individual test items. This, in turn, has led to an increased interest in potential applications of response time in measuring intellectual ability and achievement. Goldhammer (this issue) provides a very useful…
Descriptors: Reaction Time, Measurement, Computer Assisted Testing, Achievement Tests
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Brandt, Steffen – Measurement: Interdisciplinary Research and Perspectives, 2010
This article presents the author's commentary on "Updating the Duplex Design for Test-Based Accountability in the Twenty-First Century," in which Isaac I. Bejar and E. Aurora Graf propose the application of a test design--the duplex design (which was proposed in 1988 by Bock and Mislevy) for application in current accountability assessments.…
Descriptors: Accountability, Educational Testing, Test Construction, Computer Assisted Testing
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Frey, Andreas; Carstensen, Claus H. – Measurement: Interdisciplinary Research and Perspectives, 2009
On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…
Descriptors: Adaptive Testing, Test Items, Classification, Psychometrics