Effects of School Racial Composition on K–12 Mathematics Outcomes: A Metaregression Analysis
Abstract
Recently published social science research suggests that students attending schools with concentrations of disadvantaged racial minority populations achieve less academic progress than their otherwise comparable counterparts in more racially balanced or integrated schools, but to date no meta-analysis has estimated the effect size of school racial composition on mathematics outcomes. This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K–12 schools students attend. The authors employed a two-level hierarchical linear model to analyze the 25 primary studies with 98 regression effects. Results indicate that school racial isolation has a small statistically significant negative effect on overall building-level mathematics outcomes. This relationship is moderated by the size of the sample in the study and by the way the independent variable was operationalized. Although it is small, the effect size is substantively meaningful. The effects are stronger in secondary compared to elementary grades, and racial gaps widen as students age. The emergence and widening of the race gaps as students move through the grades suggest that the association of racial segregation with mathematics performance compounds over time. Implications for educational policy and future research are discussed.
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Racial composition may capture distinct contextual dynamics, such as peer norms, that shape preparation and achievement.
“Similarly, racial composition, which has not previously been examined in the OVB framework, may capture distinct contextual dynamics, such as peer norms, that shape preparation and achievement (e.g., increased Black student isolation predicting larger achievement gaps) (Mickelson et al., 2013).”
From An Omitted Variables Approach to Disentangling Differential Prediction in College Admissions (2026) · cites this paper as Mickelson et al., 2013
Cites
Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews
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“The overall average effect size was also estimated by weighting the effect sizes according to the method for random effects models (Rosenberg, 2005).”
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An Omitted Variables Approach to Disentangling Differential Prediction in College Admissions
Demeke, S., Sackett, P. R., Kuncel, N. R., & Lee, S. D. (2026) · Educational Measurement: Issues and Practice · doi:10.1111/emip.70048
- Authors
- Mickelson, R. A., Bottia, M. C., & Lambert, R.
- Affiliations
- University of North Carolina at Charlotte (US)
- University of North Carolina at Charlotte
- Venue
- Review of Educational Research
- Published
- 2013-03
- Volume
- 83
- Issue
- 1
- Pages
- 121-158
- ISSN
- 0034-6543 (ISSN-L)
- 1935-1046
- OpenAlex
- W2161484981
- Cited by
- 140
- References
- 2
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 6 · 2023: 7 · 2022: 17 · 2021: 18 · 2020: 13 · 2019: 14 · 2018: 8 · 2017: 5 · 2016: 14 · 2015: 6 · 2014: 11 · 2013: 3
- FWCI
- 54.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Review of Educational Research (publishedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Sociology and Political Science › Critical Race Theory in Education
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Keywords
- school racial composition, racial segregation, mathematics achievement, K-12 education, racial minority students, achievement gap, school integration, effect size, grade level differences, education policy
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