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Embretson, Susan E. – Multivariate Behavioral Research, 2000
Discusses computerized dynamic testing with cues and items presented according to objective algorithms, elaborating on appropriate designs and psychometric models. Presents two studies involving 311 military recruits and 584 recruits that support the psychometric properties of a test measuring the susceptibility of reasoning to stressors. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Military Personnel, Psychometrics

Zwick, Rebecca; And Others – Journal of Educational Measurement, 1995
In a simulation study of ability and estimation of differential item functioning (DIF) in computerized adaptive tests, Rasch-based DIF statistics were highly correlated with generating DIF, but DIF statistics tended to be slightly smaller than in the three-parameter logistic model analyses. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation

van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob – Applied Psychological Measurement, 1999
Theoretical null distributions of several fit statistic have been derived for paper-and-pencil tests. Examined whether these distributions also hold for computerized adaptive tests through simulation. Rates for two statistics studied were found to be similar in most cases. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Item Response Theory

van der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – Applied Psychological Measurement, 1999
Proposes an item-selection algorithm for neutralizing the differential effects of time limits on computerized adaptive test scores. Uses a statistical model for distributions of examinees' response times on items in a bank that is updated each time an item is administered. Demonstrates the method using an item bank from the Armed Services…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Banks

Nering, Michael L. – Applied Psychological Measurement, 1997
Evaluated the distribution of person fit within the computerized-adaptive testing (CAT) environment through simulation. Found that, within the CAT environment, these indexes tend not to follow a standard normal distribution. Person fit indexes had means and standard deviations that were quite different from the expected. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Error of Measurement, Item Response Theory

Stocking, Martha L. – Applied Psychological Measurement, 1997
Investigated three models that permit restricted examinee control over revising previous answers in the context of adaptive testing, using simulation. Two models permitting item revisions worked well in preserving test fairness and accuracy, and one model may preserve some cognitive processing styles developed by examinees for a linear testing…
Descriptors: Adaptive Testing, Cognitive Processes, Comparative Analysis, Computer Assisted Testing
Sangwin, Christopher J.; Naismith, Laura – International Journal for Technology in Mathematics Education, 2008
We present principles for the design of an online system to support computer algebra enabled questions for use within the teaching and learning of mathematics in higher education. The introduction of a computer algebra system (CAS) into a computer aided assessment (CAA) system affords sophisticated response processing of student provided answers.…
Descriptors: Feedback (Response), Mathematics Education, Algebra, College Instruction
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

Wheeler, 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