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Patience, Wayne – Journal of Educational Measurement, 1990
The four main subsystems of the MicroCAT Testing System for developing, administering, scoring, and analyzing computerized tests using conventional or item response theory methods are described. Judgments of three users of the system are included in the evaluation of this software. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software, Computer Software Reviews
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Johnson, Phillip L.; And Others – Mid-Western Educational Researcher, 1991
Among 148 college students taking a self-adapted computerized test of basic algebra skills, higher self-confidence and lower test anxiety were related to choosing more difficult first items but were not related to later choices. Overall, examinees chose items of moderate difficulty relative to their ability level. (SV)
Descriptors: Academic Ability, Adaptive Testing, College Students, Computer Assisted Testing
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De Ayala, R. J. – Applied Psychological Measurement, 1992
A computerized adaptive test (CAT) based on the nominal response model (NR CAT) was implemented, and the performance of the NR CAT and a CAT based on the three-parameter logistic model was compared. The NR CAT produced trait estimates comparable to those of the three-parameter test. (SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Equations (Mathematics)
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Jones, Douglas H.; Jin, Zhiying – Psychometrika, 1994
Replenishing item pools for on-line ability testing requires innovative and efficient data collection. A method is proposed to collect test item calibration data in an on-line testing environment sequentially using locally D-optimum designs, thereby achieving high Fisher information for the item parameters. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Data Collection
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Styles, Irene; Andrich, David – Educational and Psychological Measurement, 1993
This paper describes the use of the Rasch model to help implement computerized administration of the standard and advanced forms of Raven's Progressive Matrices (RPM), to compare relative item difficulties, and to convert scores between the standard and advanced forms. The sample consisted of 95 girls and 95 boys in Australia. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Elementary Education
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Straetmans, Gerard J. J. M.; Eggen, Theo J. H. M. – Educational Research and Evaluation (An International Journal on Theory and Practice), 1998
Three test administration procedures for making placement decisions in adult education were compared (paper-based, computer-based, and computerized-adaptive tests) with 90 adult-education students. Test performance was not differentially affected by the mode of administration, but the computerized adaptive test always yielded more precise ability…
Descriptors: Ability, Adaptive Testing, Adult Education, Adult Students
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Jacobs, Ellen L. – Communication Disorders Quarterly, 2001
Evaluation of the computerized preschool language screening test (KIDTALK) with 41 low socioeconomic status preschoolers resulted in recommendations for further enhancement of this tool by incorporating dynamic assessment components and for continued investigation of its validity with culturally and linguistically diverse preschoolers. (Contains…
Descriptors: Adaptive Testing, Computer Assisted Testing, Cultural Differences, Language Acquisition
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Hol, A. Michiel; Vorst, Harrie C. M.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 2005
A total of 520 high school students were randomly assigned to a paper-and-pencil test (PPT), a computerized standard test (CST), or a computerized adaptive test (CAT) version of the Dutch School Attitude Questionnaire (SAQ), consisting of ordinal polytomous items. The CST administered items in the same order as the PPT. The CAT administered all…
Descriptors: School Attitudes, Item Response Theory, Computer Assisted Testing, Attitude Measures
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Johnson, Joseph G.; Busemeyer, Jerome R. – Psychological Review, 2005
Preference orderings among a set of options may depend on the elicitation method (e.g., choice or pricing); these preference reversals challenge traditional decision theories. Previous attempts to explain these reversals have relied on allowing utility of the options to change across elicitation methods by changing the decision weights, the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Decision Making, Stimulation
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
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van der Linden, Wim J.; Ariel, Adelaide; Veldkamp, Bernard P. – Journal of Educational and Behavioral Statistics, 2006
Test-item writing efforts typically results in item pools with an undesirable correlational structure between the content attributes of the items and their statistical information. If such pools are used in computerized adaptive testing (CAT), the algorithm may be forced to select items with less than optimal information, that violate the content…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Banks
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Weissman, Alexander – Applied Psychological Measurement, 2006
A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels, nonoptimal item selection is a likely result. Nevertheless, examinee response behavior consistent with…
Descriptors: Item Response Theory, Feedback, Adaptive Testing, Computer Assisted Testing
Sykes, Robert C.; Ito, Kyoko – 1995
Whether the presence of bidimensionality has any effect on the adaptive recalibration of test items was studied through live-data simulation of computer adaptive testing (CAT) forms. The source data were examinee responses to the 298 scored multiple choice items of a licensure examination in a health care profession. Three 75-item part-forms,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Estimation (Mathematics)
Laurier, Michel D.; Chung How, Mee Lian – 1995
This paper presents the validation of an adaptive test developed for placement purposes in French at the post-secondary level, the French CAPT. Results from a second experiment are presented in which verbal protocols were obtained from nine college students of various levels with the thinking-aloud technique used during completion of the exam. The…
Descriptors: Adaptive Testing, Advanced Placement, Computer Assisted Testing, Foreign Countries
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
Items with the highest discrimination parameter values in a logistic item response theory (IRT) model do not necessarily give maximum information. This paper shows which discrimination parameter values (as a function of the guessing parameter and the distance between person ability and item difficulty) give maximum information for the…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
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