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Direct linkCarly Oddleifson; Stephen Kilgus; David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Ishan N. Vengurlekar – Grantee Submission, 2025
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…
Descriptors: Bayesian Statistics, Accuracy, Social Emotional Learning, Diagnostic Tests
Download full textFazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Connors-Tadros, L. – Center on Enhancing Early Learning Outcomes, 2014
The Center on Enhancing Early Learning Outcomes (CEELO) was asked to provide information on how other states are approaching the development and implementation of Kindergarten Entry Assessment (KEA) as part of a comprehensive assessment system. Specifically, the request asked for information about KEA measures used by other states, the processes…
Descriptors: Kindergarten, State Policy, Information Sources, Educational Resources
