Anti-Blackness and Racial Disproportionality in Gifted Education

被引:8
|
作者
Pearman, Francis A., II [1 ]
McGee, Ebony O. [2 ]
机构
[1] Stanford Univ, Grad Sch Educ, CERAS 524,485 Lasuen Mall, Stanford, CA 94305 USA
[2] Vanderbilt Univ, Peabody Coll, Nashville, TN 37203 USA
关键词
IMPLICIT ASSOCIATION TEST; MINORITY-STUDENTS; IDENTIFICATION; UNDERREPRESENTATION; REPRESENTATION; METAANALYSIS; MATHEMATICS; RECRUITMENT; VARIABLES; POLICY;
D O I
10.1177/00144029211073523
中图分类号
G76 [特殊教育];
学科分类号
040109 ;
摘要
Black-White disparities in gifted enrollment persist across U.S. school systems. In this study, we examined whether these disparities depend on county-level rates of anti-Black bias. We drew data from the Civil Rights Data Collection, the Education Opportunity Project, and the Race Implicit Association Database. Based on a series of heteroskedastic fractional probit regression models, we found that county-level rates of anti-Black bias predict Black-White disparities in gifted and talented enrollment, with gaps being largest in counties with elevated rates of anti-Black bias and virtually non-existent in counties with low levels of anti-Black bias. These findings persist after accounting for achievement and other observable differences across counties, unobserved variation in state-level gifted and talented policies and are consistent for county-level estimates of both explicit and implicit measures of anti-Black bias.
引用
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页码:359 / 380
页数:22
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