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Shun-Fu Hu; Amery D. Wu; Jake Stone – Journal of Educational Measurement, 2025
Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…
Descriptors: Tests, Testing, Scores, Test Construction
Rogers, W. Todd – Canadian Journal of Education, 2014
Principals and teachers do not use large-scale assessment results because the lack of distinct and reliable subtests prevents identifying strengths and weaknesses of students and instruction, the results arrive too late to be used, and principals and teachers need assistance to use the results to improve instruction so as to improve student…
Descriptors: Foreign Countries, Group Testing, Multidimensional Scaling, Evaluation Utilization
Ronning, Royce R., Ed.; And Others – 1987
The 1985 Buros-Nebraska Symposium was devoted to the broad issue of the influence of cognitive psychology on testing and measurement. The (1) "Introduction: The Implications of Cognitive Psychology for Testing" (Royce R. Ronning et. al.) lists four major issues addressed by the symposium--cognitive psychology as a basis for questioning some…
Descriptors: Ability Identification, Academic Ability, Achievement Tests, Cognitive Processes

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