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Bashkov, Bozhidar M.; Clauser, Jerome C. – Practical Assessment, Research & Evaluation, 2019
Successful testing programs rely on high-quality test items to produce reliable scores and defensible exams. However, determining what statistical screening criteria are most appropriate to support these goals can be daunting. This study describes and demonstrates cost-benefit analysis as an empirical approach to determining appropriate screening…
Descriptors: Test Items, Test Reliability, Evaluation Criteria, Accuracy
van Rijn, P. W.; Beguin, A. A.; Verstralen, H. H. F. M. – Assessment in Education: Principles, Policy & Practice, 2012
While measurement precision is relatively easy to establish for single tests and assessments, it is much more difficult to determine for decision making with multiple tests on different subjects. This latter is the situation in the system of final examinations for secondary education in the Netherlands and is used as an example in this paper. This…
Descriptors: Secondary Education, Tests, Foreign Countries, Decision Making

Dwyer, Carol Anne – Psychological Assessment, 1996
The uses and abuses of cut scores are examined. The article demonstrates (1) that cut scores always entail judgment; (2) that cut scores inherently result in misclassification; (3) that cut scores impose an artificial dichotomy on an essentially continuous distribution of knowledge, skill, or ability; and (4) that no true cut scores exist. (SLD)
Descriptors: Classification, Cutting Scores, Educational Testing, Error of Measurement
Breyer, F. Jay; Lewis, Charles – 1994
A single-administration classification reliability index is described that estimates the probability of consistently classifying examinees to mastery or nonmastery states as if those examinees had been tested with two alternate forms. The procedure is applicable to any test used for classification purposes, subdividing that test into two…
Descriptors: Classification, Cutting Scores, Objective Tests, Pass Fail Grading
Avner, R. A. – 1970
This report compares maximum linear prediction, maximum total correct classifications for a group, and maximum probability of correct classification for an individual as objective criteria for univariate grading scales. Since the goals of valid prediction and valid classification lead to conflicting criteria, it is possible that a compromise…
Descriptors: Achievement Rating, Classification, Evaluation, Evaluation Criteria