Anti-Blackness and Racial Disproportionality in Gifted Education

• Francis A. Pearman ^[1] ; Ebony McGee ^[2]
  1. [1] Stanford University

     Stanford University

     Estados Unidos

     
  2. [2] Vanderbilt University

     Vanderbilt University

     Estados Unidos

     
• Localización: Exceptional children, ISSN-e 2163-5560, ISSN 0014-4029, Vol. 88, Nº. 4, 2022, págs. 359-380
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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.