Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 7 |
Descriptor
Age Differences | 10 |
Data Analysis | 10 |
Statistical Data | 10 |
Gender Differences | 7 |
Foreign Countries | 4 |
Racial Differences | 4 |
Demography | 3 |
Performance Factors | 3 |
Socioeconomic Status | 3 |
Case Records | 2 |
Children | 2 |
More ▼ |
Source
Author
Brimacombe, Michael | 1 |
Carpenter, William L. | 1 |
Chen, Peijie | 1 |
Fan, Xiang | 1 |
Fawcett, Caroline | 1 |
Halperin, William | 1 |
Hartwell, Ash | 1 |
Huang, Liang | 1 |
Israel, Ron | 1 |
Jani, Nisha | 1 |
Kim, Soyeon | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Numerical/Quantitative Data | 5 |
Reports - Evaluative | 4 |
Reports - Research | 3 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 3 |
Elementary Education | 2 |
Higher Education | 2 |
Secondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
Thomas, Pauline; Zahorodny, Walter; Peng, Bo; Kim, Soyeon; Jani, Nisha; Halperin, William; Brimacombe, Michael – Autism: The International Journal of Research and Practice, 2012
Background: In 2007 the Centers for Disease Control and Prevention (CDC) reported a higher prevalence of autism spectrum disorder (ASD) in New Jersey, one of the wealthiest states in the United States, than in other surveillance regions. Objective: To examine the association of socioeconomic status (SES) with ASD prevalence. Methods: Information…
Descriptors: Socioeconomic Status, Autism, Educational Diagnosis, Disability Identification
Smith, Thomas J.; Wallace, Steve – International Journal of Special Education, 2011
This study examined data from the Special Education Elementary Longitudinal Study (SEELS, 2003) to compare the social skills of children in the U.S. with comorbid learning disabilities and attention-deficit/hyperactivity disorder (LD+AD/HD) to their peers with LD-only and AD/HD-only, and to assess how specific demographic factors moderate the…
Descriptors: Attention Deficit Hyperactivity Disorder, Learning Disabilities, Family Involvement, Interpersonal Competence
Mocetti, Sauro – Education Economics, 2012
The aim of this paper is to analyze the selection process at work before and after compulsory schooling by assessing the determinants of school failures, dropouts, and upper secondary school decisions of young Italians. The data-set is built combining individual data by the Labor Force Survey and aggregate data on local labor markets and school…
Descriptors: School Choice, Dropouts, Family Characteristics, Public Education
US Department of Health and Human Services, 2011
The National Survey of Children's Health (NSCH) provides a unique resource with which to analyze the health status, health care use, activities, and family and community environments experienced by children in rural and urban areas. The NSCH was designed to measure the health and well-being of children from birth through age 17 in the United…
Descriptors: Human Services, Health Needs, Ethnicity, Poverty
Fawcett, Caroline; Hartwell, Ash; Israel, Ron – EQUIP3, 2010
This report offers the first systematic analysis of out-of-school youth populations. In so doing, it estimates the youth bulge worldwide and measures key characteristics of out-of-school youth for sub-Saharan African (SSA) countries. In addition, as examples of how existing data can be used for analysis at the national and subnational levels, the…
Descriptors: Statistical Data, Foreign Countries, Profiles, Out of School Youth

Kirchner, Corrine; Peterson, Richard – Journal of Visual Impairment and Blindness, 1979
The article gives data on the age, sex, income, geographic region, and ethnic composition of the visually disabled population of the United States (taken from the National Center for Health Statistics records for 1977). (PHR)
Descriptors: Age Differences, Data Analysis, Economic Factors, Geography
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Carpenter, William L. – 1971
This study was designed to measure adult performance as related to age. Using methodology derived from information theory, information processing ability was measured with the individuals performing as a communication system. Fifty-five school teachers, ranging in age from 20 to 66, served as subjects. In four groups, the subjects judged the sizes…
Descriptors: Age Differences, Cognitive Processes, Data Analysis, Group Dynamics
Connecticut Department of Higher Education (NJ1), 2004
Total enrollment at Connecticut's 46 colleges and universities reached an all-time record of 170,624 in fall 2003. A November report titled, "Fall 2003 College and University Headcounts in Connecticut," analyzed headcount enrollment by status, level, institution and sector. This broader report discusses general trends in headcount…
Descriptors: Enrollment, Annual Reports, Enrollment Trends, College Freshmen