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Grabovsky, Irina; Wainer, Howard – Journal of Educational and Behavioral Statistics, 2017
In this article, we extend the methodology of the Cut-Score Operating Function that we introduced previously and apply it to a testing scenario with multiple independent components and different testing policies. We derive analytically the overall classification error rate for a test battery under the policy when several retakes are allowed for…
Descriptors: Cutting Scores, Weighted Scores, Classification, Testing
Peer reviewedHolland, Paul W.; Wainer, Howard – Applied Measurement in Education, 1990
Two attempts to adjust state mean Scholastic Aptitude Test (SAT) scores for differential participation rates are examined. Both attempts are rejected, and five rules for performing adjustments are outlined to foster follow-up checks on untested assumptions. National Assessment of Educational Progress state data are determined to be more accurate.…
Descriptors: College Applicants, College Entrance Examinations, Estimation (Mathematics), Item Bias
Peer reviewedWainer, Howard – Journal of College Admissions, 1983
Discusses changes in testing as a result of the availability of extensive inexpensive computing and some recent developments in statistical test theory. Describes the role of the Computerized Adaptive Test (CAT) and modern Item Response Theory (IRT) in ability testing tailored to each student's knowledge and ability. (JAC)
Descriptors: Cognitive Ability, College Entrance Examinations, Computer Assisted Testing, Higher Education
Wainer, Howard – 1982
This paper is the transcript of a talk given to those who use test information but who have little technical background in test theory. The concepts of modern test theory are compared with traditional test theory, as well as a probable future test theory. The explanations given are couched within an extended metaphor that allows a full description…
Descriptors: Difficulty Level, Latent Trait Theory, Metaphors, Test Items

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