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Green, Terrance L.; Germain, Emily; Castro, Andrene J.; Latham Sikes, Chloe; Sanchez, Joanna; Horne, Jeremy – Urban Education, 2022
An increasing number of central cities across the U.S. are experiencing a growth in white middle-class population, which is associated with gentrification in historically disinvested and racially segregated urban neighborhoods. These changing neighborhood dynamics are starting to shift the context of urban schooling in some districts across the…
Descriptors: Urban Renewal, Neighborhoods, Census Figures, National Surveys
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McDaniel, Justin T.; Shields, Margaret; Diehr, Aaron J.; Thomas, Kate H.; Middleton, Wendi – Journal of Outdoor Recreation, Education, and Leadership, 2018
Bicycling is a popular recreation activity and mode of transportation among the American workforce. While safety standards are key factors in reducing risk for a cycling fatality, contextual factors also play a role. State-level data for this study were retrieved from the U.S. Census Bureau, the League of American Bicyclists, and the National…
Descriptors: Socioeconomic Status, Physical Activities, Safety, Traffic Safety
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Mendez-Carbajo, Diego; Davis-Kahl, Stephanie – Scholarship and Practice of Undergraduate Research, 2019
An increased focus on high-impact pedagogical practices at a small, residential, higher education institution led to a grant-funded project to gather and analyze multidimensional data on 10,155 residential foreclosures in central Illinois from 2006 to 2013. Student researchers applied skills gained through academic coursework to investigate a…
Descriptors: Experiential Learning, Service Learning, Data Collection, Place of Residence
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Yingling, Marissa E.; Hock, Robert M.; Bell, Bethany A. – Journal of Autism and Developmental Disorders, 2018
Health coverage of early intensive behavioral intervention (EIBI) for children with autism spectrum disorder (ASD) is rapidly expanding across the United States. Yet we know little about the time-lag between diagnosis and treatment onset. We integrated administrative, Medicaid claims, and Census data for children in an EIBI Medicaid waiver (n =…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Intervention
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Chen, Cheng-Chia; Seo, Dong-Chul; Lin, Hsien-Chang – Health Education Journal, 2018
Objective: The purpose of this longitudinal study was to examine the effects of state-level socioeconomic status (SES), the density of fast food restaurants and walking to work on body mass index (BMI) among US adults aged 50 years and older. The study sought further to account for the interaction effects of three different hierarchical levels of…
Descriptors: Longitudinal Studies, Older Adults, Body Composition, Socioeconomic Status
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Gere, Bryan O.; Burnett, Royce D.; Flowers, Carl R.; Akaaboune, Ouadie – Rehabilitation Research, Policy, and Education, 2017
Background: State-federal (VR) program efficiency is the focus of empirical research because of increases in the magnitude and types of program requests, possibly funding cuts and class for models to more appropriately measure and evaluate performance. Objective: The purpose of this study was to examine the impact socioeconomic diversity has on…
Descriptors: Vocational Rehabilitation, Delivery Systems, Socioeconomic Influences, Employment Level
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Lash, Cristina L.; Sanchez, Monika – Education and Urban Society, 2019
Nationwide, place-based initiatives aiming to improve school and community outcomes are in the midst of neighborhood demographic change. We explore this issue through a case study of the Mission Promise Neighborhood (MPN). We discuss how the social and educational context of MPN poses several challenges to implementing Promise Neighborhood…
Descriptors: Socioeconomic Status, Working Class, Advantaged, Whites
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LaFleur, Jennifer C. – Education Policy Analysis Archives, 2016
This project contributes to the body of research examining the implications of the geographic location of charter schools for student access, especially in high-poverty communities. Using geographic information systems (GIS) software, this paper uses data from the U.S. Census American Community Survey to identify the socioeconomic characteristics…
Descriptors: Charter Schools, Geographic Location, Access to Education, Poverty Areas
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Dockery, Alfred M.; Seymour, Richard; Koshy, Paul – Studies in Higher Education, 2016
As with other countries, Australia has been grappling with the identification, measurement and impact of disadvantage in higher education. In particular, the measurement of socio-economic status (SES) has been of central concern. The immediate solution in Australia has been the introduction of an "area" measure in which students' SES is…
Descriptors: Higher Education, Comparative Analysis, Disadvantaged, Socioeconomic Status
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Claro, Susana; Paunesku, David – Society for Research on Educational Effectiveness, 2014
Students' academic motivation and their achievement is affected by the mindset that students hold about their own intelligence. The current study presents a unique nationally-representative dataset to study the relationship of Mindset and Achievement among different populations. With census data of Chilean 10th graders and their schools, the…
Descriptors: Foreign Countries, Socioeconomic Status, Census Figures, Grade 10
Cahalan, M.; Perna, L. W.; Yamashita, M.; Wright-Kim, J.; Jiang, N. – Pell Institute for the Study of Opportunity in Higher Education, 2019
In 2004 and 2005, the Pell Institute for the Study of Opportunity in Higher Education (Pell Institute), sponsored by the Council for Opportunity in Education (COE), published two editions of "Indicators of Opportunity in Higher Education." In 2015, the commitment to documenting trends in higher education equity was renewed by publishing…
Descriptors: Educational Indicators, Equal Education, Educational Trends, Trend Analysis
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Raley, R. Kelly; Sweeney, Megan M.; Wondra, Danielle – Future of Children, 2015
The United States shows striking racial and ethnic differences in marriage patterns. Compared to both white and Hispanic women, black women marry later in life, are less likely to marry at all, and have higher rates of marital instability. Kelly Raley, Megan Sweeney, and Danielle Wondra begin by reviewing common explanations for these differences,…
Descriptors: Marriage, Racial Differences, Ethnicity, African Americans
Imberman, Scott; Lovenheim, Michael F. – Education Policy Center at Michigan State University, 2015
Value-added data have become an increasingly common evaluation tool for schools and teachers. Many school districts have begun to adopt these methods and have released results publicly. In this paper, we use the unique public release of value-added data in Los Angeles to identify how this measure of school quality is capitalized into housing…
Descriptors: Value Added Models, Housing, Teacher Influence, Evaluation Methods
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Katz, Charles M.; Schnebly, Stephen M. – Crime & Delinquency, 2011
This study examines the relationship between neighborhood structure, violent crime, and concentrations of gang members at the neighborhood level. We rely on official police gang list data, police crime data, and two waves of decennial census data characterizing the socioeconomic and demographic conditions of 93 neighborhoods in Mesa, Arizona.…
Descriptors: Juvenile Gangs, Neighborhoods, Crime, Violence
Cahalan, M.; Perna, L. W.; Yamashita, M.; Wright, J.; Santillan, S. – Pell Institute for the Study of Opportunity in Higher Education, 2018
The purposes of this equity indicators project are to: (1) report the status of higher education equity in the United States and identify changes over time in measures of equity; (2) identify policies and practices that promote and hinder progress; and (3) illustrate the need for increased support of policies, programs, and practices that not only…
Descriptors: Educational Indicators, Higher Education, Equal Education, Educational Trends
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