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Wise, Steven L.; Kingsbury, G. Gage; Webb, Norman L. – Educational Measurement: Issues and Practice, 2015
The alignment between a test and the content domain it measures represents key evidence for the validation of test score inferences. Although procedures have been developed for evaluating the content alignment of linear tests, these procedures are not readily applicable to computerized adaptive tests (CATs), which require large item pools and do…
Descriptors: Computer Assisted Testing, Adaptive Testing, Alignment (Education), Test Content
Peer reviewedKingsbury, G. Gage – Educational Measurement: Issues and Practice, 1990
Application of computer-assisted testing (CAT) to measurement in the Portland (Oregon) Public Schools is described. Focus is on MicroCAT's developmental subsystem, which allows creation of items and test design specifications. Changes in CAT procedures allowing MicroCAT to function in existing testing systems and uses/limitations of MicroCAT…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software Evaluation, Elementary Secondary Education
Peer reviewedKingsbury, G. Gage; Houser, Ronald L. – Educational Measurement: Issues and Practice, 1993
The utility of item response theory (IRT) models in computerized adaptive tests is considered. Measurement questions that have been answered using IRT, and those that might be overlooked because of IRT, are reviewed. Areas in which fuller use of IRT could improve adaptive testing practices are identified. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Educational Assessment, Elementary Secondary Education

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