Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 4 |
Descriptor
| Family Income | 4 |
| Poverty | 4 |
| Ethnicity | 3 |
| Gender Differences | 3 |
| Peer Relationship | 3 |
| Racial Differences | 3 |
| Age Differences | 2 |
| Bullying | 2 |
| Census Figures | 2 |
| Comparative Analysis | 2 |
| Computer Mediated… | 2 |
| More ▼ | |
Author
| Lessne, Deborah | 2 |
| Dean, Kelley M. | 1 |
| Harmalkar, Sayali | 1 |
| Havik, Toril | 1 |
| Hysing, Mari | 1 |
| Iversen, Anette Christine | 1 |
| Jakobsen, Reidar | 1 |
| Stormark, Kjell Morten | 1 |
| Yanez, Christina | 1 |
Publication Type
| Reports - Research | 3 |
| Numerical/Quantitative Data | 2 |
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
Education Level
| Grade 6 | 4 |
| Grade 7 | 4 |
| Grade 8 | 3 |
| Grade 10 | 2 |
| Grade 11 | 2 |
| Grade 12 | 2 |
| Grade 9 | 2 |
| Middle Schools | 2 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 5 | 1 |
| More ▼ | |
Audience
Location
| North Carolina | 1 |
| Norway | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkDean, Kelley M. – ProQuest LLC, 2011
The central research question is the extent to which gifted programming effects student academic outcomes of gifted as compared to not-gifted students and how this differs by race/ethnicity and/or poverty status. Since the identification of elementary school students as gifted is not random, propensity score matching is used to remove this bias in…
Descriptors: Ethnicity, Poverty, Academically Gifted, Income
Peer reviewed
Download full textLessne, Deborah; Harmalkar, Sayali – National Center for Education Statistics, 2013
This document reports data from the 2011 School Crime Supplement (SCS) of the National Crime Victimization Survey (NCVS). The Web Tables show the extent to which students with different personal characteristics report bullying and cyber-bullying. Estimates include responses by student characteristics: student sex, race/ethnicity, grade, and…
Descriptors: Bullying, Computer Mediated Communication, Peer Relationship, Victims
Lessne, Deborah; Yanez, Christina – National Center for Education Statistics, 2016
This document reports data from the 2015 School Crime Supplement (SCS) to the National Crime Victimization Survey (NCVS). The Web Tables show the extent to which students with different personal characteristics report being bullied. Estimates include responses by student characteristics: student sex, race/ethnicity, grade, and household income.…
Descriptors: Bullying, Student Reaction, Crime, School Statistics
Iversen, Anette Christine; Jakobsen, Reidar; Havik, Toril; Hysing, Mari; Stormark, Kjell Morten – Child Care in Practice, 2007
The great majority of children receiving intervention from child welfare and protection services (CWS) in Norway live at home. The purpose of this study was to assess mental health problems among these children. Data stem from a population-based study, the Bergen child study, conducted in 2006. Of a sample consisting of 4,162 children in the fifth…
Descriptors: Antisocial Behavior, Health Services, Emotional Problems, Mental Health Programs
