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Logan, Jessica A. R.; Hart, Sara A.; Schatschneider, Christopher – AERA Open, 2021
Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers generally have not been made aware of these requirements and of the benefits of data sharing.…
Descriptors: Data, Shared Resources and Services, Educational Research, Information Processing
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Kelchen, Robert; Rosinger, Kelly Ochs; Ortagus, Justin C. – AERA Open, 2019
As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy…
Descriptors: Educational Policy, Policy Analysis, Educational Finance, Data Analysis
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Doroudi, Shayan – AERA Open, 2020
In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…
Descriptors: Data Analysis, Learning Theories, Teaching Methods, Educational Research
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Cope, Bill; Kalantzis, Mary – AERA Open, 2016
The prospect of "big data" at once evokes optimistic views of an information-rich future and concerns about surveillance that adversely impacts our personal and private lives. This overview article explores the implications of big data in education, focusing by way of example on data generated by student writing. We have chosen writing…
Descriptors: Educational Research, Formative Evaluation, Summative Evaluation, Data Analysis
Muller, Chandra L. – AERA Open, 2015
This article describes issues in measuring school contexts with an eye toward understanding students' experiences and outcomes. I begin with an overview of the conceptual underpinnings related to measuring contexts, briefly describe the initiatives at the National Center for Education Statistics to measure school contexts, and identify possible…
Descriptors: Educational Environment, Measurement, Educational Research, Student Development
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Schneider, Barbara; Saw, Guan; Broda, Michael – AERA Open, 2016
Forty years ago, the National Center for Education Statistics initiated the national longitudinal studies program in response to congressional concern for policy-relevant information on school-to-work transitions. This program has grown substantially, and not unexpectedly, questions have arisen about its usefulness and present operation. This…
Descriptors: Longitudinal Studies, Educational Research, Program Descriptions, Educational Policy
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Espelage, Dorothy – AERA Open, 2015
School violence and bullying are two public health concerns with consequences for youth in and out of school, for families, students, and community members. In this article, a social-ecological framework is briefly described as a way to understand bullying and school violence; then the National Center for Educational Statistics (NCES) longitudinal…
Descriptors: Violence, Bullying, Educational Research, Statistical Data