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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
Siegel, Arthur I.; And Others – 1973
Research explored methods of providing a coherent framework for the Instructional Systems Development (ISD) model which would promote better system evaluation, internal communications and student testing. Lists of critical tasks for two Air Force specialties were compiled and multidimensional scaling and hierarchical cluster analysis employed to…
Descriptors: Cluster Analysis, Educational Research, Evaluation Methods, Instructional Design