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County-Level Rates of Implicit Bias Predict Black-White Test Score Gaps in U.S. Schools

This study examines whether county-level estimates of implicit bias predict black-white test score gaps in county schools. Data from over 1 million respondents from across the United States who completed an online version of the Race Implicit Association Test (IAT) were combined with data from the Stanford Education Data Archive covering over 300 million test scores from U.S. schoolchildren in grades 3 through 8. In both bivariate and multivariate models, counties with higher levels of racial bias had larger black-white test score disparities. This relationship was primarily explained by sorting mechanisms: The black-white test score gap was larger in counties with higher levels of implicit bias because these counties’ schools were more racially segregated and were characterized by larger racial gaps in gifted and talented assignment as well as special education placement.

Keywords
implicit bias, achievement gap, educational inequality
Education level
Document Object Identifier (DOI)
10.26300/58zh-8v92

EdWorkingPaper suggested citation:

Pearman, II, Francis A.. (). County-Level Rates of Implicit Bias Predict Black-White Test Score Gaps in U.S. Schools. (EdWorkingPaper: -192). Retrieved from Annenberg Institute at Brown University: https://doi.org/10.26300/58zh-8v92

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