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Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
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Brodersen, R. Marc; Gagnon, Douglas; Liu, Jing; Moss, Tony – Regional Educational Laboratory Central, 2021
This tool is intended to support state and local education agencies in developing a statistical model for estimating student postsecondary success at the school or district level. The tool guides education agency researchers, analysts, and decisionmakers through options to consider when developing their own model. The resulting model generates an…
Descriptors: Statistical Analysis, Models, Computation, Success
Rob Wilson; Derek Bosworth; Luke Bosworth; Jeisson Cardenas-Rubio; Rosie Day; Shyamoli Patel; Chris Thoung; Ha Bui – National Foundation for Educational Research, 2022
This document provides a technical description of the sources and methods used to generate the set of employment projections by industry and occupation presented in the reports from the Nuffield funded research programme -- "The Skills Imperative 2035: Essential Skills for Tomorrow's Workforce." This Technical report provides details on…
Descriptors: Foreign Countries, Futures (of Society), Macroeconomics, Employment Projections
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Cagle, Jack F. – Journal of Organizational and Educational Leadership, 2017
A decade of research on school discipline has made society keenly aware of the "elephant in the room." Overwhelmingly, Black students are "wounded" permanently when they are suspended over and over for offenses that are overlooked when their white counterparts commit the same infraction. Since Black students are suspended…
Descriptors: Public Education, Disproportionate Representation, Suspension, Minority Group Students
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Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides