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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
Jessica B. Koslouski; Sandra M. Chafouleas; Amy Briesch; Jacqueline M. Caemmerer; Brittany Melo – School Mental Health, 2024
We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a…
Descriptors: Screening Tests, Psychometrics, Validity, Child Development
Jessica B. Koslouski; Sandra M. Chafouleas; Amy Briesch; Jacqueline M. Caemmerer; Brittany Melo – Grantee Submission, 2024
We are developing the Equitable Screening to Support Youth (ESSY) Whole Child Screener to address concerns prevalent in existing school-based screenings that impede goals to advance educational equity using universal screeners. Traditional assessment development does not include end users in the early development phases, instead relying on a…
Descriptors: Screening Tests, Usability, Decision Making, Validity