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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
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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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
Roos, Linda L.; And Others – 1992
Computerized adaptive (CA) testing uses an algorithm to match examinee ability to item difficulty, while self-adapted (SA) testing allows the examinee to choose the difficulty of his or her items. Research comparing SA and CA testing has shown that examinees experience lower anxiety and improved performance with SA testing. All previous research…
Descriptors: Ability Identification, Adaptive Testing, Algebra, Algorithms
De Ayala, R. J.; And Others – 1988
To date, the majority of computerized adaptive testing (CAT) systems for achievement and aptitude testing have been based on the dichotomous item response models. However, current research with polychotomous model-based CATs is yielding promising results. This study extends previous work on nominal response model-based CAT (NR CAT) and compares…
Descriptors: Ability Identification, Achievement Tests, Adaptive Testing, Aptitude Tests
Lunz, Mary E.; And Others – 1990
This study explores the test-retest consistency of computer adaptive tests of varying lengths. The testing model used was designed as a mastery model to determine whether an examinee's estimated ability level is above or below a pre-established criterion expressed in the metric (logits) of the calibrated item pool scale. The Rasch model was used…
Descriptors: Ability Identification, Adaptive Testing, College Students, Comparative Testing
Rizavi, Saba; Hariharan, Swaminathan – Online Submission, 2001
The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…
Descriptors: Guessing (Tests), Test Construction, Test Length, Computer Assisted Testing
Xiao, Beiling – 1990
Dichotomous search strategies (DSSs) for computerized adaptive testing are similar to golden section search strategies (GSSSs). Each middle point of successive search regions is a testing point. After each item is administered, the subject's obtained score is compared with the expected score at successive testing points. If the subject's obtained…
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)
McBride, James R. – 1986
An overview of the development of a computerized version of the Differential Aptitude Tests (DAT) is presented. It describes the previously existing printed version of the DAT, design of the computerized adaptive edition, calibration of the test items for use in the computerized version, and two field studies that compared the Adaptive and…
Descriptors: Ability Identification, Adaptive Testing, Aptitude Tests, Comparative Testing
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission