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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
Peer reviewedBrown, C. R.; Njabili, A. F. – Research in Science and Technological Education, 1989
Explores the concept of construct validity in the context of a public examination. Multitrait-multimethod analysis and factor analysis were used. Discusses the analyses in terms of theory versus practical components and experimental versus observational investigation in practical components. Sample items for the practical examinations are…
Descriptors: Biology, Construct Validity, Factor Analysis, Foreign Countries
Van Velsor, Ellen; Leslie, Jean Brittain; Fleenor, John W. – 1997
This book presents a nontechnical, step-by-step process that shows how to evaluate any 360-degree-feedback instrument intended for management or leadership development. The 360-degree-feedback instruments collect information from different sources about a target manager's performance, and they offer multiple perspectives. The 16 steps in…
Descriptors: Administrator Characteristics, Evaluation Methods, Feedback, Interrater Reliability

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