Journal
GIFTED CHILD QUARTERLY
Volume 62, Issue 1, Pages 6-24Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/0016986217738053
Keywords
hierarchical linear modeling; quantitative methodologies; identification; elementary; age; developmental stage; low income; special populations; underserved gifted
Categories
Funding
- Institute of Education Sciences, U.S. Department of Education PR/Award [R305C140018]
Ask authors/readers for more resources
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression models. Students of poverty are generally less likely to be identified for gifted services, even after controlling for prior math and reading achievement. Furthermore, school poverty predicts the percentage of gifted students identified in a school. Within districts, even after controlling for reading and math scores, the poorer schools in a district have lower identification rates. Whereas students of poverty are generally less likely to be identified for gifted services, poor students in poor schools are even less likely to be identified as gifted.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available