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Gershon, Richard C.; Bergstrom, Betty – 1991
The relationship of several individual differences variables to Computer Adaptive Testing (CAT) as compared with traditional written tests are explored. Seven hundred sixty-five examinees took a Computer Adaptive Test and two fixed-length written tests. Each examinee also answered a computer literacy inventory, a satisfaction questionnaire, and a…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Literacy
De Ayala, R. J.; And Others – 1995
Expected a posteriori has a number of advantages over maximum likelihood estimation or maximum a posteriori (MAP) estimation methods. These include ability estimates (thetas) for all response patterns, less regression towards the mean than MAP ability estimates, and a lower average squared error. R. D. Bock and R. J. Mislevy (1982) state that the…
Descriptors: Adaptive Testing, Bayesian Statistics, Error of Measurement, Estimation (Mathematics)
Tang, K. Linda – 1996
The average Kullback-Keibler (K-L) information index (H. Chang and Z. Ying, in press) is a newly proposed statistic in Computerized Adaptive Testing (CAT) item selection based on the global information function. The objectives of this study were to improve understanding of the K-L index with various parameters and to compare the performance of the…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Stocking, Martha L. – 1988
The relationship between examinee ability and the accuracy of maximum likelihood item parameter estimation is explored in terms of the expected (Fisher) information. Information functions are used to find the optimum ability levels and maximum contributions to information for estimating item parameters in three commonly used logistic item response…
Descriptors: Ability, Adaptive Testing, Estimation (Mathematics), Item Response Theory
PDF pending restorationWheeler, Patricia H. – 1995
When individuals are given tests that are too hard or too easy, the resulting scores are likely to be poor estimates of their performance. To get valid and accurate test scores that provide meaningful results, one should use functional-level testing (FLT). FLT is the practice of administering to an individual a version of a test with a difficulty…
Descriptors: Adaptive Testing, Difficulty Level, Educational Assessment, Performance
Wingersky, Marilyn S. – 1989
In a variable-length adaptive test with a stopping rule that relied on the asymptotic standard error of measurement of the examinee's estimated true score, M. S. Stocking (1987) discovered that it was sufficient to know the examinee's true score and the number of items administered to predict with some accuracy whether an examinee's true score was…
Descriptors: Adaptive Testing, Bayesian Statistics, Error of Measurement, Estimation (Mathematics)
Berger, Martijn P. F.; Veerkamp, Wim J. J. – 1994
The designing of tests has been a source of concern for test developers over the past decade. Various kinds of test forms have been applied. Among these are the fixed-form test, the adaptive test, and the testlet. Each of these forms has its own design. In this paper, the construction of test forms is placed within the general framework of optimal…
Descriptors: Adaptive Testing, Foreign Countries, Research Design, Selection
Parshall, Cynthia G.; Davey, Tim; Nering, Mike L. – 1998
When items are selected during a computerized adaptive test (CAT) solely with regard to their measurement properties, it is commonly found that certain items are administered to nearly every examinee, and that a small number of the available items will account for a large proportion of the item administrations. This presents a clear security risk…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Efficiency
van der Linden, Wim J.; Glas, Cees A. W. – 1998
In adaptive testing, item selection is sequentially optimized during the test. Since the optimization takes place over a pool of items calibrated with estimation error, capitalization on these errors is likely to occur. How serious the consequences of this phenomenon are depends not only on the distribution of the estimation errors in the pool or…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Error of Measurement
Linacre, John Michael – 1988
Computer-adaptive testing (CAT) allows improved security, greater scoring accuracy, shorter testing periods, quicker availability of results, and reduced guessing and other undesirable test behavior. Simple approaches can be applied by the classroom teacher, or other content specialist, who possesses simple computer equipment and elementary…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Cutting Scores
Schafer, William D; Johnson, Charles E. – 1985
This paper presents examples of effective uses of microcomputers to support basic statistics instruction. All programs are written in Applesoft BASIC for Apple II Plus microcomputers and compatible equipment. They have been field tested in statistics courses at the University of Maryland. Microcomputers can be used with color monitors for…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Courseware
Thorndike, Robert L. – 1980
In an invitational address to the Victorian Institute of Educational Research, the author discussed Bayesian theory and its relationship to the design and construction of tailored or adaptive tests. Bayesian thinking involves recognizing the role of prior probabilities and using these probabilities in combination with new data to arrive at future…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Error of Measurement
Sympson, James B. – 1976
Latent trait test score theory is discussed primarily in terms of Birnbaum's three-parameter logistic model, and with some reference to the Rasch model. Equations and graphic illustrations are given for item characteristic curves and item information curves. An example is given for a hypothetical 20-item adaptive test, showing cumulative results…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Analysis, Latent Trait Theory
Peer reviewedSchmidt, Frank L.; And Others – Educational and Psychological Measurement, 1978
Computer assisted tailored testing was used in a study of 163 Civil Service examinees to assess examinee's affective response to the testing setting. Response was summarized as overwhelmingly positive. (Author/JKS)
Descriptors: Adaptive Testing, Adults, Attitudes, Computer Assisted Testing
Weissman, Alexander – 2003
This study investigated the efficiency of item selection in a computerized adaptive test (CAT), where efficiency was defined in terms of the accumulated test information at an examinee's true ability level. A simulation methodology compared the efficiency of 2 item selection procedures with 5 ability estimation procedures for CATs of 5, 10, 15,…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Maximum Likelihood Statistics


