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Amanda A. Wolkowitz; Russell Smith – Practical Assessment, Research & Evaluation, 2024
A decision consistency (DC) index is an estimate of the consistency of a classification decision on an exam. More specifically, DC estimates the percentage of examinees that would have the same classification decision on an exam if they were to retake the same or a parallel form of the exam again without memory of taking the exam the first time.…
Descriptors: Testing, Test Reliability, Replication (Evaluation), Decision Making
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Downs, C. T. – South African Journal of Higher Education, 2009
First year students' academic performance in three Life Science courses (Botany, Zoology and Bioscience) was compared. Pass rates, as well as the means and distributions of final marks were analysed. Of the three components (coursework, practical and theory examinations) contributing to the final mark of each course, students performed best in the…
Descriptors: Student Evaluation, Academic Achievement, Botany, Biological Sciences
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Gruijter, Dato N. M. – Journal of Educational Measurement, 1985
To improve on cutoff scores based on absolute standards which may produce an unacceptable number of failures, a compromise is suggested. The compromise draws on the information in the observed score distribution to adjust the standard. Three compromise models developed by Hofstee, Beuk, and De Gruijter are compared. (Author/GDC)
Descriptors: Academic Standards, Comparative Testing, Cutting Scores, Mastery Tests
Sykes, Robert C.; And Others – 1992
A part-form methodology was used to study the effect of varying degrees of multidimensionality on the consistency of pass/fail classification decisions obtained from simulated unidimensional item response theory (IRT) based licensure examinations. A control on the degree of form multidimensionality permitted an assessment throughout the range of…
Descriptors: Classification, Comparative Testing, Computer Simulation, Decision Making
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Bergstrom, Betty A.; Lunz, Mary E. – Evaluation and the Health Professions, 1992
The level of confidence in pass/fail decisions obtained with computerized adaptive tests and paper-and-pencil tests was greater for 645 medical technology students when the computer adaptive test implemented a 90 percent confidence stopping rule than for paper-and-pencil tests of comparable length. (SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Confidence Testing
Lunz, Mary E.; And Others – 1991
This paper explores the effect of reviewing items and altering responses on the efficiency of computer adaptive tests (CATs) and the resultant ability measures of examinees. Subjects included 712 medical students: 220 subjects were randomly assigned to the review condition; 492 were randomly assigned to a review control condition (the usual CAT…
Descriptors: Academic Ability, Adaptive Testing, Certification, Comparative Testing
Bergstrom, Betty A.; Lunz, Mary E. – 1991
The level of confidence in pass/fail decisions obtained with computer adaptive tests (CATs) was compared to decisions based on paper-and-pencil tests. Subjects included 645 medical technology students from 238 educational programs across the country. The tests used in this study constituted part of the subjects' review for the certification…
Descriptors: Adaptive Testing, Certification, Comparative Testing, Computer Assisted Testing