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Showing 1 to 15 of 23 results Save | Export
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Qian, Hong; Staniewska, Dorota; Reckase, Mark; Woo, Ada – Educational Measurement: Issues and Practice, 2016
This article addresses the issue of how to detect item preknowledge using item response time data in two computer-based large-scale licensure examinations. Item preknowledge is indicated by an unexpected short response time and a correct response. Two samples were used for detecting item preknowledge for each examination. The first sample was from…
Descriptors: Reaction Time, Licensing Examinations (Professions), Computer Assisted Testing, Prior Learning
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Lunz, Mary E.; Bergstrom, Betty – Journal of Educational Computing Research, 1995
Describes a study that was conducted to track the effect of candidate response patterns on a computerized adaptive test. The effect of altering responses on estimated candidate ability, test tailoring, and test precision across segments of adaptive tests and groups of candidates is examined. (Author/LRW)
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Response Style (Tests)
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Folk, Valerie Greaud; Green, Bert F. – Applied Psychological Measurement, 1989
Some effects of using unidimensional item response theory (IRT) were examined when the assumption of unidimensionality was violated. Adaptive and nonadaptive tests were used. It appears that use of a unidimensional model can bias parameter estimation, adaptive item selection, and ability estimation for the two types of testing. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Computer Simulation
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Halkitis, Perry N. – Journal of Outcome Measurement, 1998
The precision of a computerized adaptive test (CAT) with a limited item pool was measured using test results from 4,494 nursing students. Regardless of the item pool size, CAT provides greater precision in measurement with a smaller number of items administered even when the choice of items is limited, but CAT fails to achieve equiprecision along…
Descriptors: Ability Identification, Adaptive Testing, College Students, Computer Assisted Testing
Zhang, Yanwei; Nandakumar, Ratna – Online Submission, 2006
Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications…
Descriptors: Item Banks, Item Response Theory, Adaptive Testing, Computer Assisted Testing
Samejima, Fumiko – 1990
A method is proposed that increases the accuracies of estimation of the operating characteristics of discrete item responses, especially when the true operating characteristic is represented by a steep curve, and also at the lower and upper ends of the ability distribution where the estimation tends to be inaccurate because of the smaller number…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)
Sympson, James B.; And Others – 1982
Conventional Armed Services Vocational Aptitude Battery-7 (ASVAB) Arithmetic Reasoning and Word Knowledge tests, were compared with computer-administered adaptive tests as predictors of performance in an Air Force Jet Engine Mechanic training course (n=495). Results supported earlier research in showing somewhat longer examinee response times for…
Descriptors: Ability Identification, Adaptive Testing, Aptitude Tests, Computer Assisted Testing
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Henly, Susan J.; And Others – Applied Psychological Measurement, 1989
A group of covariance structure models was examined to ascertain the similarity between conventionally administered and computerized adaptive versions of the Differential Aptitude Test (DAT). Results for 332 students indicate that the computerized version of the DAT is an adequate representation of the conventional test battery. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Comparative Testing, Computer Assisted Testing
De Ayala, R. J.; And Others – 1990
Computerized adaptive testing procedures (CATPs) based on the graded response method (GRM) of F. Samejima (1969) and the partial credit model (PCM) of G. Masters (1982) were developed and compared. Both programs used maximum likelihood estimation of ability, and item selection was conducted on the basis of information. Two simulated data sets, one…
Descriptors: Ability Identification, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
De Ayala, R. J. – 1990
The effect of dimensionality on an adaptive test's ability estimation was examined. Two-dimensional data sets, which differed from one another in the interdimensional ability association, the correlation among the difficulty parameters, and whether the item discriminations were or were not confounded with item difficulty, were generated for 1,600…
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
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De Ayala, R. J.; And Others – Journal of Educational Measurement, 1990
F. M. Lord's flexilevel, computerized adaptive testing (CAT) procedure was compared to an item-response theory-based CAT procedure that uses Bayesian ability estimation with various standard errors of estimates used for terminating the test. Ability estimates of flexilevel CATs were as accurate as were those of Bayesian CATs. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Comparative Analysis
Grist, Susan; And Others – 1989
Computerized adaptive tests (CATs) make it possible to estimate the ability of each student during the testing process. The computer presents items to students at the appropriate level, and students take different versions of the same test. Computerized testing increases the flexibility of test management in that: (1) tests are given on demand and…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Computer Uses in Education
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van der Linden, Wim J.; Zwarts, Michel A. – 1986
The use of item response theory (IRT) is a prerequisite to successful use of computerized test systems. In item response models, as opposed to classical test theory, the abilities of the examinees and the properties of the items are parameterized separately. Therefore, when measuring the abilities of examinees, the model implicitly corrects for…
Descriptors: Ability Identification, Adaptive Testing, Aptitude Tests, Computer Assisted Testing
Wise, Steven L.; And Others – 1991
According to item response theory (IRT), examinee ability estimation is independent of the particular set of test items administered from a calibrated pool. Although the most popular application of this feature of IRT is computerized adaptive (CA) testing, a recently proposed alternative is self-adapted (SA) testing, in which examinees choose the…
Descriptors: Ability Identification, Adaptive Testing, College Students, Comparative Testing
Samejima, Fumiko – 1990
Two modification formulas are presented for the test information function in order to provide better measures of local accuracies of the estimation of "theta" when maximum likelihood estimation is used to provide the estimate of ability "theta." A minimum bound of any estimator, biased or unbiased, is considered; and Formula 1…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education
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