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Kingsbury, G. Gage; Wise, Steven L. – Journal of Applied Testing Technology, 2011
Development of adaptive tests used in K-12 settings requires the creation of stable measurement scales to measure the growth of individual students from one grade to the next, and to measure change in groups from one year to the next. Accountability systems like No Child Left Behind require stable measurement scales so that accountability has…
Descriptors: Elementary Secondary Education, Adaptive Testing, Academic Achievement, Measures (Individuals)

Lord, Frederic M. – Educational and Psychological Measurement, 1971
Descriptors: Ability, Adaptive Testing, Computer Oriented Programs, Difficulty Level
Reckase, Mark D. – 1974
An application of the two-paramenter logistic (Rasch) model to tailored testing is presented. The model is discussed along with the maximum likelihood estimation of the ability parameters given the response pattern and easiness parameter estimates for the items. The technique has been programmed for use with an interactive computer terminal. Use…
Descriptors: Ability, Adaptive Testing, Computer Assisted Instruction, Difficulty Level
Betz, Nancy E.; Weiss, David J. – 1974
Monte Carlo simulation procedures were used to study the psychometric characteristics of two two-stage adaptive tests and a conventional "peaked" ability test. Results showed that scores yielded by both two-stage tests better reflected the normal distribution of underlying ability. Ability estimates yielded by one of the two stage tests…
Descriptors: Ability, Academic Ability, Adaptive Testing, Computers
Thomas, Gregory P. – 1986
This paper argues that no single measurement strategy serves all purposes and that applying methods and techniques which allow a variety of data elements to be retrieved and juxtaposed may be an investment in the future. Item response theory, Rasch model, and latent trait theory are all approaches to a single conceptual topic. An abbreviated look…
Descriptors: Achievement Tests, Adaptive Testing, Criterion Referenced Tests, Data Collection
Wainer, Howard; Kiely, Gerard L. – 1986
Recent experience with the Computerized Adaptive Test (CAT) has raised a number of concerns about its practical applications. The concerns are principally involved with the concept of having the computer construct the test from a precalibrated item pool, and substituting statistical characteristics for the test developer's skills. Problems with…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Construct Validity
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level