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Bartanen, Brendan; Grissom, Jason A.; Joshi, Ela; Meredith, Marc – AERA Open, 2018
Elected representatives' place of residence can reveal information about their socioeconomic status, their likely social networks, and potential biases in the constituencies they represent. Using data on home addresses we collected from local elections offices, we investigate the geographic distribution of school board candidates', including…
Descriptors: Boards of Education, School Districts, Geographic Distribution, Geographic Information Systems
Geyer, L. S.; Hall, H.; le Roux, M. P.; Crafford, G. – Perspectives in Education, 2017
International studies reveal that students have more freedom, as well as unstructured and unsupervised time, which makes them susceptible to problematic internet use (PIU). Although students are a risk group for PIU, no evidence of local research on internet use among students could be identified. This article reports on a study on the nature and…
Descriptors: College Students, Mass Media Use, Mass Media Effects, Internet
Stroub, Kori J.; Richards, Meredith P. – Teachers College Record, 2017
Background: While postwar suburban migration established suburbs as relatively affluent, homogeneous white enclaves distinct from the urban core, recent waves of suburbanization and exurbanization have been spurred largely by rapid growth in the nonwhite population. While these increases in suburban racial/ethnic diversity represent a significant…
Descriptors: Suburban Schools, Public Schools, School Segregation, Educational Change
Saultz, Andrew; Yaluma, Christopher B. – Journal of School Choice, 2017
We analyze the geographical distribution of, and access to, charter schools in the state of Ohio. Using poverty and race data from the U.S. Census, as well as publicly available student achievement scores, we analyze the locational preferences of charter schools. We use Geographic Information System (GIS) to visual display charter school locations…
Descriptors: Demography, Access to Education, Equal Education, Geographic Distribution
Jiang, Yang; Granja, Maribel R.; Koball, Heather – National Center for Children in Poverty, 2017
Among all children under 18 years in the U.S., 43 percent live in low-income families and 21 percent--approximately one in five--lives in a poor family. This means that children are overrepresented among our nation's poor; they represent 23 percent of the population but comprise 33 percent of all people in poverty. Many more children live in…
Descriptors: Low Income Students, Elementary Secondary Education, Poverty, Demography
Jiang, Yang; Granja, Maribel R.; Koball, Heather – National Center for Children in Poverty, 2017
Among all children under 18 years in the U.S., 43 percent live in low-income families and 21 percent--approximately one in five--lives in a poor family. This means that children are overrepresented among our nation's poor; they represent 23 percent of the population but comprise 33 percent of all people in poverty. Many more children live in…
Descriptors: Low Income Students, Family Income, Poverty, Demography
Jiang, Yang; Granja, Maribel R.; Koball, Heather – National Center for Children in Poverty, 2017
Among all children under 18 years in the U.S., 43 percent live in low-income families and 21 percent--approximately one in five--lives in a poor family. This means that children are overrepresented among our nation's poor; they represent 23 percent of the population but comprise 33 percent of all people in poverty. Many more children live in…
Descriptors: Low Income Students, Family Income, Poverty, Demography
Smith, Patricia J.; Scott, Richard I. – Journal of the National Collegiate Honors Council, 2016
Recent research describing the landscape of honors education has demonstrated that honors programs and colleges have become an important and expanding component of American higher education. Since its inception nearly a century ago, collegiate honors education offering campus-wide curricula has spread to more than 1,500 non-profit colleges and…
Descriptors: Demography, Honors Curriculum, Group Membership, Comparative Analysis
Jiang, Yang; Granja, Maribel R.; Koball, Heather – National Center for Children in Poverty, 2017
Among all children under 18 years in the U.S., 43 percent live in low-income families and 21 percent--approximately one in five--lives in a poor family. This means that children are overrepresented among our nation's poor; they represent 23 percent of the population but comprise 33 percent of all people in poverty. Many more children live in…
Descriptors: Low Income Students, Poverty, Geographic Distribution, Socioeconomic Background
Khoshlessan, Rezvan; Das, Kumer Pial – Journal of International Students, 2017
The purpose of this study is to explore international students' study anxiety in a mid-sized public four-year university in Southeast Texas by comparing their existing study anxiety along lines of nationality, gender, age, major, degree, and stage of education. The subjects were selected using a convenience sample during the Spring of 2013. The…
Descriptors: Foreign Students, Higher Education, Anxiety, Statistical Significance
Williams-Damond, Twyla A. – ProQuest LLC, 2014
The focus of this research mainly centers on a quantitative descriptive overview of corporal punishment practices in the state of Mississippi, but this study also includes a legal document analysis component. This study forms the Mississippi portion of a comprehensive analysis of the demographics of corporal punishment in the public schools of the…
Descriptors: Punishment, Statistical Analysis, Content Analysis, Demography
Gulosino, Charisse; Miron, Gary – Journal of School Choice, 2017
This study uses logistic and multinomial logistic regression models to analyze neighborhood factors affecting EMO (Education Management Organization)-operated schools' locational attributes (using census tracts) in 41 states for the 2014-2015 school year. Our research combines market-based school reform, institutional theory, and resource…
Descriptors: Regression (Statistics), Neighborhood Schools, Census Figures, School Location
Moon, Jodi S.; Krull, Lauren – Center for Evaluation and Education Policy, Indiana University, 2017
Demographics in the U.S. have changed dramatically over the last three decades. Indiana's demographics are changing, too--albeit less dramatically. To explore how demographic shifts are changing the composition of Indiana's schools, the Center for Evaluation and Education Policy (CEEP) uses Common Core of Data (CCD) school enrollment data from the…
Descriptors: School Segregation, Enrollment Trends, School Statistics, Demography
Ahn, June – Thomas B. Fordham Institute, 2016
This Fordham study, conducted by learning technology researcher June Ahn from NYU, dives into one of the most promising-and contentious-issues in education today: virtual schools. What type of students choose them? Which online courses do students take? Do virtual schools lead to improved outcomes for kids? With over thirty-five thousand students…
Descriptors: Charter Schools, Virtual Classrooms, Enrollment Rate, Academic Achievement
Geverdt, Douglas E. – National Center for Education Statistics, 2015
The National Center for Education Statistics (NCES) Education Demographic and Geographic Estimates (EDGE) program develops geographic data to help policymakers, program administrators, and the public understand relationships between educational institutions and the communities they serve. One of the commonly used geographic data items is the NCES…
Descriptors: Demography, Geographic Distribution, Classification, Geographic Location