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Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
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Finkelman, Matthew D.; Weiss, David J.; Kim-Kang, Gyenam – Applied Psychological Measurement, 2010
Assessing individual change is an important topic in both psychological and educational measurement. An adaptive measurement of change (AMC) method had previously been shown to exhibit greater efficiency in detecting change than conventional nonadaptive methods. However, little work had been done to compare different procedures within the AMC…
Descriptors: Computer Assisted Testing, Hypothesis Testing, Measurement, Item Analysis
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Weiss, David J. – Measurement and Evaluation in Counseling and Development, 2004
Computerized adaptive testing (CAT) is described and compared with conventional tests, and its advantages summarized. Some item response theory concepts used in CAT are summarized and illustrated. The author describes the potential usefulness of CAT in counseling and education and reviews some current issues in the implementation of CAT.
Descriptors: Item Response Theory, Computer Assisted Testing, Counselor Training, Testing
Kingsbury, G. Gage; Weiss, David J. – 1981
Conventional mastery tests designed to make optimal mastery classifications were compared with fixed-length and variable-length adaptive mastery tests. Comparisons between the testing procedures were made across five content areas in an introductory biology course from tests administered to volunteers. The criterion was the student's standing in…
Descriptors: Achievement Tests, Adaptive Testing, Biology, Comparative Analysis
Brown, Joel M.; Weiss, David J. – 1977
An adaptive testing strategy is described for achievement tests covering multiple content areas. The strategy combines adaptive item selection both within and between the subtests in the multiple-subtest battery. A real-data simulation was conducted to compare the results from adaptive testing and from conventional testing, in terms of test…
Descriptors: Achievement Tests, Adaptive Testing, Branching, Comparative Analysis