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Lin, Yin; Brown, Anna; Williams, Paul – Educational and Psychological Measurement, 2023
Several forced-choice (FC) computerized adaptive tests (CATs) have emerged in the field of organizational psychology, all of them employing ideal-point items. However, despite most items developed historically follow dominance response models, research on FC CAT using dominance items is limited. Existing research is heavily dominated by…
Descriptors: Measurement Techniques, Computer Assisted Testing, Adaptive Testing, Industrial Psychology
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Zhang, Jinming – Psychometrika, 2013
In some popular test designs (including computerized adaptive testing and multistage testing), many item pairs are not administered to any test takers, which may result in some complications during dimensionality analyses. In this paper, a modified DETECT index is proposed in order to perform dimensionality analyses for response data from such…
Descriptors: Adaptive Testing, Simulation, Computer Assisted Testing, Test Reliability
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Jacobsen, Jared; Ackermann, Richard; Eguez, Jane; Ganguli, Debalina; Rickard, Patricia; Taylor, Linda – Journal of Applied Testing Technology, 2011
A computer adaptive test (CAT) is a delivery methodology that serves the larger goals of the assessment system in which it is embedded. A thorough analysis of the assessment system for which a CAT is being designed is critical to ensure that the delivery platform is appropriate and addresses all relevant complexities. As such, a CAT engine must be…
Descriptors: Delivery Systems, Testing Programs, Computer Assisted Testing, Foreign Countries
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Frey, Andreas; Carstensen, Claus H. – Measurement: Interdisciplinary Research and Perspectives, 2009
On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…
Descriptors: Adaptive Testing, Test Items, Classification, Psychometrics
Kingsbury, G. Gage; Hauser, Carl – Northwest Evaluation Association, 2004
Among the changes in education called for under the No Child Left Behind act is the need for states to test students in a number of grades and subject areas. Scores from these tests are to be used for a variety of purposes, from identifying whether individual students are proficient, to helping determine whether schools are causing adequate growth…
Descriptors: Federal Legislation, Computer Assisted Testing, Adaptive Testing, Educational Assessment
Betz, Nancy E.; Weiss, David J. – 1973
A two-stage adaptive test and a conventional peaked test were constructed and administered on a time-shared computer system to students in undergraduate psychology courses. (The two-stage adaptive test consisted of a routing test followed by one of a series of measurement tests.) Comparison of the score distributions showed that the two-stage test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Individual Testing, Individualized Programs
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Brennan, Robert L. – Applied Measurement in Education, 1992
A conceptual framework and heuristic model for considering the existence, magnitude, and consequences of context effects are presented through an extension of some generalizability theory concepts. Context effects are often misunderstood, and current measurement models have serious limitations for examining them. Their importance needs to be…
Descriptors: Adaptive Testing, Context Effect, Equated Scores, Equations (Mathematics)
Reckase, Mark D. – 1979
This paper describes two procedures for making binary classification decisions using tailored testing: the sequential probability ratio test (SPRT) and a Bayesian decision procedure. The first procedure described, the SPRT, was developed by Wald for quality control work. It has not been widely applied for testing applications because the…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Criterion Referenced Tests
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
Weiss, David J. – 1983
During 1975-1979 this research into the potential of computerized adaptive testing to reduce errors in the measurement of human capabilities used Marine recruits for a live-testing validity comparison of computerized adaptive and conventional tests. The program purposes were to: (1) identify the most useful computer-based adaptive testing…
Descriptors: Ability, Adaptive Testing, Adults, Bayesian Statistics
Hambleton, Ronald K.; And Others – 1975
The success of objectives-based programs depends to a considerable extent on how effectively students and teachers assess mastery of objectives and make decisions for future instruction. While educators disagree on the usefulness of criterion-referenced tests the position taken in this monograph is that criterion-referenced tests are useful, and…
Descriptors: Adaptive Testing, Course Objectives, Criterion Referenced Tests, Individualized Instruction
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
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Marsh, Herbert W.; And Others – Journal of Educational Psychology, 1991
A new adaptive procedure for assessing multiple dimensions of self-concept for children younger than 8 years was studied with a sample of 501 children from kindergarten through grade 2. Use of the Self-Description Questionnaire with young children was supported by factor analysis. Practical and theoretical implications are discussed. (SLD)
Descriptors: Adaptive Testing, Age Differences, Elementary School Students, Evaluation Methods