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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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Feinberg, Richard A. – Educational Measurement: Issues and Practice, 2021
Unforeseen complications during the administration of large-scale testing programs are inevitable and can prevent examinees from accessing all test material. For classification tests in which the primary purpose is to yield a decision, such as a pass/fail result, the current study investigated a model-based standard error approach, Bayesian…
Descriptors: High Stakes Tests, Classification, Decision Making, Bayesian Statistics
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Liu, Ren; Qian, Hong; Luo, Xiao; Woo, Ada – Educational and Psychological Measurement, 2018
Subscore reporting under item response theory models has always been a challenge partly because the test length of each subdomain is limited for precisely locating individuals on multiple continua. Diagnostic classification models (DCMs), providing a pass/fail decision and associated probability of pass on each subdomain, are promising…
Descriptors: Classification, Probability, Pass Fail Grading, Scores
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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
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
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Bramley, Tom – Educational Research, 2010
Background: A recent article published in "Educational Research" on the reliability of results in National Curriculum testing in England (Newton, "The reliability of results from national curriculum testing in England," "Educational Research" 51, no. 2: 181-212, 2009) suggested that: (1) classification accuracy can be…
Descriptors: National Curriculum, Educational Research, Testing, Measurement
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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