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Showing 61 to 75 of 132 results Save | Export
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Zwick, Rebecca; Thayer, Dorothy T. – Applied Psychological Measurement, 2002
Used a simulation to investigate the applicability to computerized adaptive test data of a differential item functioning (DIF) analysis method. Results show the performance of this empirical Bayes enhancement of the Mantel Haenszel DIF analysis method to be quite promising. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Item Bias
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Divgi, D. R. – Applied Psychological Measurement, 1989
Two methods for estimating the reliability of a computerized adaptive test (CAT) without using item response theory are presented. The data consist of CAT and paper-and-pencil scores from identical or equivalent samples, and scores for all examinees on one or more covariates, using the Armed Services Vocational Aptitude Battery. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics), Predictive Validity
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Chang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1999
Proposes a new multistage adaptive-testing procedure that factors the discrimination parameter (alpha) into the item-selection process. Simulation studies indicate that the new strategy results in tests that are well-balanced, with respect to item exposure, and efficient. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
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Chen, Shu-Ying; Lei, Pui-Wa – Applied Psychological Measurement, 2005
This article proposes an item exposure control method, which is the extension of the Sympson and Hetter procedure and can provide item exposure control at both the item and test levels. Item exposure rate and test overlap rate are two indices commonly used to track item exposure in computerized adaptive tests. By considering both indices, item…
Descriptors: Computer Assisted Testing, Test Items, Computer Simulation, Evaluation Criteria
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Armstrong, Ronald D.; Jones, Douglas H.; Koppel, Nicole B.; Pashley, Peter J. – Applied Psychological Measurement, 2004
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…
Descriptors: Law Schools, Adaptive Testing, Computer Assisted Testing, Test Format
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Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Applied Psychological Measurement, 2002
Item exposure control, test-overlap minimization, and the efficient use of item pool are some of the important issues in computerized adaptive testing (CAT) designs. The overexposure of some items and high test-overlap rate may cause both item and test security problems. Previously these problems associated with the maximum information (Max-I)…
Descriptors: Test Length, Adaptive Testing, Item Analysis, Item Banks
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Van Rijn, P. W.; Eggen, T. J. H. M.; Hemker, B. T.; Sanders, P. F. – Applied Psychological Measurement, 2002
In the present study, a procedure that has been used to select dichotomous items in computerized adaptive testing was applied to polytomous items. This procedure was designed to select the item with maximum weighted information. In a simulation study, the item information function was integrated over a fixed interval of ability values and the item…
Descriptors: Intervals, Simulation, Adaptive Testing, Computer Assisted Testing
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McLeod, Lori; Lewis, Charles; Thissen, David – Applied Psychological Measurement, 2003
Explored procedures to detect test takers using item preknowledge in computerized adaptive testing and suggested a Bayesian posterior log odds ratio index for this purpose. Simulation results support the use of the odds ratio index. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Knowledge Level
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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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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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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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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
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McLeod, Lori Davis; Lewis, Charles – Applied Psychological Measurement, 1999
Evaluated procedures applying person-fit indices to identify individuals who had previously memorized test items in computerized adaptive-testing situations. All of the indices studied showed little power to detect the use of memorization. Discusses possibilities for altering a test when the model becomes inappropriate for an examinee. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Identification, Item Response Theory
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