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Laura M. Samulski-Peters – ProQuest LLC, 2024
One of the most significant issues in education, as defined by the U.S. Department of Education Office of Accountability (2018), is disproportionality in exclusionary discipline. Disproportionality is defined as the over- and under-representation of racial/ethnic minorities in relation to their overall enrollment (Ahram et al., 2011). Currently,…
Descriptors: Disproportionate Representation, Discipline, Data Use, Minority Group Students
Díaz, Victoria E.; McKeown, Stephanie; Peña, Camilo – British Columbia Council on Admissions and Transfer, 2023
This project reviews data collection practices regarding race, ethnicity and ancestry (REA) in post-secondary institutions (PSIs) in Canada, as well as in other relevant sectors (e.g., health, K-12 education, government agencies). The goal of the project was to identify promising practices and to develop recommendations to guide REA data…
Descriptors: Data Collection, Data Use, Student Characteristics, Race
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
Hsiu-Wen Yang; Christine Harradine; Chih-Ing Lim; Douglas H. Clements; Megan Vinh; Julie Sarama – Early Childhood Education Journal, 2025
Given the increased diversity of the population in the United States and the importance of early science, technology, engineering, and mathematics (STEM) learning, it is crucial to identify ways to reduce racial, ethnic, and gender disparities in STEM education. This is particularly important for children with disabilities with intersecting…
Descriptors: Demography, Early Intervention, STEM Education, Equal Education
Ramon Flores; Daniel J. Losen – Civil Rights Project - Proyecto Derechos Civiles, 2024
Many educators in California are unaware of just how harmful out of school suspensions can be. When suspended students are barred from attending school, more often than not, the rule broken was some form of minor misconduct. This update of "Lost Instruction Time in California Schools" demonstrates that despite the important efforts by…
Descriptors: School Administration, Discipline, Homeless People, Youth
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
Vietze, Jana; Schwarzenthal, Miriam; Moffitt, Ursula; Civitillo, Sauro – European Journal of Psychology of Education, 2023
Across continental Europe, educational research samples are often divided by 'migrant background', a binary variable criticized for masking participant heterogeneity and reinforcing exclusionary norms of belonging. This study endorses more meaningful, representative, and precise research by offering four guiding questions for selecting relevant,…
Descriptors: Foreign Countries, Educational Research, Social Justice, Social Influences
Falkenstern, Colleen; Rochat, Angie – Western Interstate Commission for Higher Education, 2021
The effective use of data plays a critical role throughout the policy process -- from accurately capturing populations being served to monitoring and measuring implementation and allocation of resources. In order for data to be used in a manner that supports evidence-based decision-making there is a need for education leaders and policymakers to…
Descriptors: American Indian Students, Alaska Natives, Minority Group Students, Data Collection
Dana Garbarski; Jennifer Dykema; Cameron P. Jones; Tiffany S. Neman; Nora Cate Schaeffer; Dorothy Farrar Edwards – Field Methods, 2024
Ethnoracial identity refers to the racial and ethnic categories that people use to classify themselves and others. How it is measured in surveys has implications for understanding inequalities. Yet how people self-identify may not conform to the categories standardized survey questions use to measure ethnicity and race, leading to potential…
Descriptors: Ethnicity, Racial Identification, Classification, Error of Measurement
Office for Civil Rights, US Department of Education, 2023
The Civil Rights Data Collection (CRDC) is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. Since the 2009-10 CRDC, schools and school districts have reported the number of students who were referred to law enforcement and arrested at the nation's public schools.…
Descriptors: Referral, Law Enforcement, Crime, Public Schools
Enid Zambrana, Ruth; Amaro, Gabriel; Butler, Courtney; DuPont-Reyes, Melissa; Parra-Medina, Deborah – Health Education & Behavior, 2021
Introduction: Prior to 1980, U.S. national demographic and health data collection did not identify individuals of Hispanic/Latina/o heritage as a population group. Post-1990, robust immigration from Latin America (e.g., South America, Central America, Mexico) and subsequent growth in U.S. births, dynamically reconstructed the ethnoracial lines…
Descriptors: Data Analysis, Data Collection, Demography, Hispanic Americans
Chenoweth, Karin – Learning Professional, 2021
Schools and districts that break the correlation between race and poverty on the one hand and academic achievement on the other hold enormous lessons for any educators willing to seek them out and ask: "Your kids are doing better than mine. What are you doing?" It is important to understand that educators who ask that question--whether…
Descriptors: Racial Bias, Ethnicity, Poverty, Academic Achievement
Ben Bryant; Simon Day – UK Department for Education, 2023
This research was commissioned as part of Inclusive Britain, the government response to the Commission on Race and Ethnic Disparities (CRED). The research sought to answer three main questions: (1) Where schools and trusts have closed attainment gaps between pupils from different ethnic groups, has this been the result of a deliberate strategy…
Descriptors: School Role, Achievement Gap, Racial Differences, Ethnicity
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers

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