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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Markon, Kristian E. – Psychological Methods, 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the…
Descriptors: Measures (Individuals), Psychometrics, Statistical Analysis, Bayesian Statistics
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Thomas, Michael L. – Assessment, 2011
Item response theory (IRT) and related latent variable models represent modern psychometric theory, the successor to classical test theory in psychological assessment. Although IRT has become prevalent in the measurement of ability and achievement, its contributions to clinical domains have been less extensive. Applications of IRT to clinical…
Descriptors: Item Response Theory, Psychological Evaluation, Reliability, Error of Measurement
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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
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Ramon Barrada, Juan; Veldkamp, Bernard P.; Olea, Julio – Applied Psychological Measurement, 2009
Computerized adaptive testing is subject to security problems, as the item bank content remains operative over long periods and administration time is flexible for examinees. Spreading the content of a part of the item bank could lead to an overestimation of the examinees' trait level. The most common way of reducing this risk is to impose a…
Descriptors: Item Banks, Adaptive Testing, Item Analysis, Psychometrics
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Chen, Shu-Ying; Ankenman, Robert D. – Journal of Educational Measurement, 2004
The purpose of this study was to compare the effects of four item selection rules--(1) Fisher information (F), (2) Fisher information with a posterior distribution (FP), (3) Kullback-Leibler information with a posterior distribution (KP), and (4) completely randomized item selection (RN)--with respect to the precision of trait estimation and the…
Descriptors: Test Length, Adaptive Testing, Computer Assisted Testing, Test Selection
Wise, Steven L.; And Others – 1993
This study assessed whether providing examinees with a choice between computerized adaptive testing (CAT) and self-adaptive testing (SAT) affects test performance in comparison with being assigned a CAT or SAT, and evaluated variables influencing examinee choice of either test form. The relative influences of test type and test choice on examinee…
Descriptors: Ability, Adaptive Testing, Algebra, College Students
Hansen, Duncan N. – 1975
To what degree testing can become adaptive is considered in three ways: from a formal methodological perspective; from a human process, stability, perspective; and from a sub-system or component view within an adaptive instructional system (AIS). With the advent of large computer-based training systems, the opportunity to broadly implement…
Descriptors: Academic Ability, Adaptive Testing, Computer Assisted Testing, Computer Oriented Programs