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Trentin, Guglielmo – Journal of Educational Multimedia and Hypermedia, 1997
Computers can offer valuable assistance in the development and administration of personalized tests. This article provides an overview of different types of conventional and personalized tests and explores computerized adaptive testing. Also proposes a specific methodology for managing diagnostic adaptive tests and a hypertext system (HyperDelfi)…
Descriptors: Adaptive Testing, Computer Assisted Testing, Diagnostic Tests, Formative Evaluation
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Roos, Linda L.; And Others – Educational and Psychological Measurement, 1997
The importance of item feedback in self-adapted testing was studied by comparing feedback and no feedback conditions for computerized adaptive tests and self-adapted tests taken by 363 college students. Results indicate that item feedback is not necessary to realize score differences between self-adapted and computerized adaptive testing. (SLD)
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Feedback
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Pastor, Dena A.; Dodd, Barbara G.; Chang, Hua-Hua – Applied Psychological Measurement, 2002
Studied the impact of using five different exposure control algorithms in two sizes of item pool calibrated using the generalized partial credit model. Simulation results show that the a-stratified design, in comparison to a no-exposure control condition, could be used to reduce item exposure and overlap and increase pool use, while degrading…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Item Banks
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van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – Applied Psychological Measurement, 2002
Compared the nominal and empirical null distributions of the standardized log-likelihood statistic for polytomous items for paper-and-pencil (P&P) and computerized adaptive tests (CATs). Results show that the empirical distribution of the statistic differed from the assumed standard normal distribution for both P&P tests and CATs. Also…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Statistical Distributions
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Chang, Hua-Hua; Zhang, Jinming – Psychometrika, 2002
Demonstrates mathematically that if every item in an item pool has an equal possibility to be selected from the pool in a fixed-length computerized adaptive test, the number of overlapping items among an alpha randomly sampled examinees follows the hypergeometric distribution family for alpha greater than or equal to 1. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
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Koch, William R.; Dodd, Barbara G. – Applied Measurement in Education, 1989
Various aspects of the computerized adaptive testing (CAT) procedure for partial credit scoring were manipulated, focusing on the effects of the manipulations on operational characteristics of the CAT. The effects of item-pool size, item-pool information, and stepsizes used along the trait continuum were assessed. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Maximum Likelihood Statistics
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Dodd, Barbara G.; And Others – Applied Psychological Measurement, 1995
Polytomous item response theory models and the research that has been conducted to investigate a variety of possible operational procedures for polytomous model-based computerized adaptive testing (CAT) are reviewed, along with studies comparing polytomous CAT systems with competing item response theory models. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Test Items
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Samejima, Fumiko – Applied Psychological Measurement, 1994
The reliability coefficient is predicted from the test information function (TIF) or two modified TIF formulas and a specific trait distribution. Examples illustrate the variability of the reliability coefficient across different trait distributions, and results are compared with empirical reliability coefficients. (SLD)
Descriptors: Adaptive Testing, Error of Measurement, Estimation (Mathematics), Reliability
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van der Linden, Wim J.; Reese, Lynda M. – Applied Psychological Measurement, 1998
Proposes a model for constrained computerized adaptive testing in which the information in the test at the trait level (theta) estimate is maximized subject to the number of possible constraints on the content of the test. Test assembly relies on a linear-programming approach. Illustrates the approach through simulation with items from the Law…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
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Wightman, Linda F. – Applied Psychological Measurement, 1998
Focuses on the potential contributions of optimal test-design models to practical test-assembly issues that result from limitations in the models or the technology required for their implementation and limitations inherent in the test-assembly process. Outlines research needed to make implementation of these techniques routine in test assembly.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Research Needs, Test Construction
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Luecht, Richard M.; Nungester, Ronald J. – Journal of Educational Measurement, 1998
Describes an integrated approach to test development and administration called computer-adaptive sequential testing (CAST). CAST incorporates adaptive testing methods with automated test assembly. Describes the CAST framework and demonstrates several applications using a medical-licensure example. (SLD)
Descriptors: Adaptive Testing, Automation, Computer Assisted Testing, Licensing Examinations (Professions)
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Revuelta, Javier; Ponsoda, Vicente – Journal of Educational Measurement, 1998
Proposes two new methods for item-exposure control, the Progressive method and the Restricted Maximum Information method. Compares both methods with six other item-selection methods. Discusses advantages of the two new methods and the usefulness of combining them. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Selection
Parshall, Cynthia G. – Journal of Instruction Delivery Systems, 1995
Summarizes the benefits of computerized assessment and provides a review of some practical issues concerning measurement, item and examinee characteristics, hardware, and software. Adequate measures of reliability and validity have been established for many computer-based tests, and the benefits of computer testing have been realized in applied…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computers, Test Items
Peer reviewed Peer reviewed
Chen, Shu-Ying; Ankenmann, Robert D.; Chang, Hua-Hua – Applied Psychological Measurement, 2000
Compared five item selection rules with respect to the efficiency and precision of trait (theta) estimation at the early stages of computerized adaptive testing (CAT). The Fisher interval information, Fisher information with a posterior distribution, Kullback-Leibler information, and Kullback-Leibler information with a posterior distribution…
Descriptors: Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics), Selection
Peer reviewed Peer reviewed
Wang, LihShing; Li, Chun-Shan – Journal of Applied Measurement, 2001
Used Monte Carlo simulation to compare the relative measurement efficiency of polytomous modeling and dichotomous modeling under different scoring schemes and termination criteria. Results suggest that polytomous computerized adaptive testing (CAT) yields marginal gains over dichotomous CAT when termination criteria are more stringent. Discusses…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Monte Carlo Methods
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