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Maryland State Department of Education, 2020
In Maryland, one way children's wellbeing is measured is by looking at the data from the Kindergarten Readiness Assessment (KRA). While the data can illustrate how children perform on various indicators across literacy, math, social-emotional development and physical well-being, it's really a reflection of the "readiness" of Maryland…
Descriptors: School Readiness, Child Development, Access to Education, Early Intervention
Cahalan, Margaret W.; Addison, Marisha; Brunt, Nicole; Patel, Pooja R.; Vaughan, Terry, III; Genao, Alysia; Perna, Laura W. – Pell Institute for the Study of Opportunity in Higher Education, 2022
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, Higher Education, Equal Education, Educational Trends
Marcotte, Dave E.; Dalane, Kari – Educational Researcher, 2019
We examine the effect of the expansion of charter schools on socioeconomic segregation in American public education. Using a district-level panel data set from 1998 to 2015, we describe and model changes in within-district segregation of low-income students, proxied by free-lunch eligibility (FLE). We show that the segregation of FLE students from…
Descriptors: Socioeconomic Status, Socioeconomic Influences, Educational Discrimination, Social Bias
Nebraska's Coordinating Commission for Postsecondary Education, 2019
Nebraska is committed to measuring its progress toward achieving the major statewide goals through national comparisons and institutional peer comparisons. It is the aim of the "Comprehensive Plan" that, when rank order is appropriate, Nebraska will rank among the ten best states in national comparisons, and individual public…
Descriptors: Postsecondary Education, State Universities, State Colleges, Agricultural Colleges
Henrie, Kimberly; Curtain, Joseph A.; Ma, David – Utah System of Higher Education, 2019
Relying on the data from Utah System of Higher Education (USHE), Utah State Board of Education (USBE), and National Student Clearinghouse (NSC), this report examines college participation rates of Utah high school graduates (cohorts 2008-2017), with a focus on the gap in college participation between Caucasians and minorities. The report also…
Descriptors: Student Participation, College Attendance, High School Graduates, Educational Attainment
Hoyt, Lindsay Till; Sabol, Terri J.; Chaku, Natasha; Kessler, Courtenay L. – Grantee Submission, 2019
This study took a life course approach to examine associations among family income from birth to age 15, and adolescent health and well-being. Utilizing latent growth mixture modeling, we identified four distinct family income trajectories based on changes in low-income status (family income [less than or equal to] 200% of the federal poverty…
Descriptors: Family Income, Adolescents, Child Health, Well Being
Nebraska's Coordinating Commission for Postsecondary Education, 2019
Nebraska is committed to measuring its progress toward achieving the major statewide goals through national comparisons and institutional peer comparisons. It is the aim of the "Comprehensive Plan" that, when rank order is appropriate, Nebraska will rank among the ten best states in national comparisons, and individual public…
Descriptors: Postsecondary Education, State Universities, State Colleges, Agricultural Colleges
Hanushek, Eric A.; Peterson, Paul E.; Talpey, Laura M.; Woessmann, Ludger – Program on Education Policy and Governance, 2019
Concerns about the breadth of the U.S. income distribution and limited intergenerational mobility have led to a focus on educational achievement gaps by socio-economic status (SES). Using intertemporally linked assessments from NAEP [National Assessment of Educational Progress], TIMSS [Trends in International Mathematics and Science Survey], and…
Descriptors: Socioeconomic Status, Achievement Gap, Foreign Countries, Science Achievement
Abdu-Raheem, B. O. – Journal of Education and Practice, 2015
This paper investigated parents' socio-economic status on secondary school students' academic performance in Ekiti State. Descriptive research design of the survey type was adopted. The population for the study comprised all Junior Secondary School students in Ekiti State. The sample consisted of 960 students from 20 secondary schools randomly…
Descriptors: Foreign Countries, Secondary School Students, Academic Achievement, Parents
Murray, Christopher; Doren, Bonnie; Gau, Jeff M.; Zvoch, Keith; Seeley, John R. – Exceptional Children, 2015
The purpose of the current study was to develop a multi-indicator construct of economic hardship among adolescents with disabilities (N = 9,230) participating in the National Longitudinal Transition Study-2, the largest, most comprehensive investigation of adolescents with disabilities ever conducted. Five theoretically relevant indicators (i.e.,…
Descriptors: Adolescents, Disabilities, Economically Disadvantaged, Longitudinal Studies
Jiang, Yang; Ekono, Mercedes; Skinner, Curtis – National Center for Children in Poverty, 2015
Children under 18 years represent 23 percent of the population, but they comprise 33 percent of all people in poverty. Among all children, 44 percent live in low-income families and approximately one in every five (22 percent) live in poor families. Similarly, among children in middle childhood (age 6 through 11 years), 45 percent live in…
Descriptors: Low Income Groups, Poverty, Family Income, Incidence
Jiang, Yang; Ekono, Mercedes; Skinner, Curtis – National Center for Children in Poverty, 2015
Children under 18 years represent 23 percent of the population, but they comprise 33 percent of all people in poverty. Among all children, 44 percent live in low-income families and approximately one in every five (22 percent) live in poor families. Among our oldest children--adolescents age 12 through 17 years--41 percent live in low-income…
Descriptors: Low Income Groups, Poverty, Family Income, Incidence
Wells, Laura; Nermo, Magnus; Östberg, Viveca – Health Education & Behavior, 2017
As physical inactivity may track from adolescence to adulthood, it is important to identify social determinants of physical inactivity in early life. However, most studies have measured socioeconomic position as one dimension. We examine whether multiple dimensions of socioeconomic position, in addition to other dimensions of inequality (i.e.,…
Descriptors: Life Style, Physical Activity Level, Longitudinal Studies, Social Influences
Dukhi, Natisha; Sartorius, Benn; Taylor, Myra – Early Child Development and Care, 2017
Background: Stunting continues to affect young children as a global nutritional disorder. The aim of our study was to assess the prevalence, associated risk factors and spatial clustering for stunting in a disadvantaged South African District. Methods: A community-based cross-sectional weighted survey of households was conducted in the iLembe…
Descriptors: Foreign Countries, Young Children, Disadvantaged Youth, Incidence
Huang, Ching-Yu; Shen, April Chiung-Tao; Hsieh, Yi-Ping; Feng, Jui-Ying; Wei, Hsi-Sheng; Hwa, Hsiao-Lin; Feng, Joyce Yen – International Journal of Emotional Education, 2017
The current study aims to clarify the associations as well as the pathways through which parenting and children's emotional intelligence (EI) may influence children's mental health with a cross-sectional sample of 675 school pupils (fourth grade, mean age = 10.4 years, 310 boy, 356 girls and 9 unidentified) in Taiwan. Hierarchical regression and…
Descriptors: Foreign Countries, Emotional Intelligence, Mental Health, Elementary School Students