The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Can Family Socioeconomic Resources Account for Racial and Ethnic Test Score Gaps?
Abstract
This article considers whether the disparate socioeconomic circumstances of families in which white, black, and Hispanic children grow up account for the racial and ethnic gaps in school readiness among American preschoolers. It first reviews why family socioeconomic resources might matter for children's school readiness. The authors concentrate on four key components of parent socioeconomic status that are particularly relevant for children's well-being—income, education, family structure, and neighborhood conditions. They survey a range of relevant policies and programs that might help to close socioeconomic gaps, for example, by increasing family incomes or maternal educational attainment, strengthening families, and improving poor neighborhoods. Their survey of links between socioeconomic resources and test score gaps indicates that resource differences account for about half of the standard deviation—about 8 points on a test with a standard deviation of 15—of the differences. Yet, the policy implications of this are far from clear. They note that although policies are designed to improve aspects of "socioeconomic status" (for example, income, education, family structure), no policy improves "socioeconomic status" directly. Second, they caution that good policy is based on an understanding of causal relationships between family background and children outcomes, as well as cost-effectiveness. They conclude that boosting the family incomes of preschool children may be a promising intervention to reduce racial and ethnic school readiness gaps. However, given the lack of successful large-scale interventions, the authors suggest giving only a modest role to programs that address parents' socioeconomic resources. They suggest that policies that directly target children may be the most efficient way to narrow school readiness gaps.
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Cites
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Cited by
Family income, parental education and brain structure in children and adolescents
Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3983 · Cited by 1,423
Measurement of socioeconomic status in health disparities research.
Shavers, V. L. (2007) · PubMed · doi:10.13016/avw3-9cvx · Cited by 956
Neural correlates of socioeconomic status in the developing human brain
Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01147.x · Cited by 542
Investing in Children: Changes in Parental Spending on Children, 1972–2007
Kornrich, S., & Furstenberg, F. (2013) · Demography · doi:10.1007/s13524-012-0146-4 · Cited by 540
Lugo-Gil, J., & Tamis-LeMonda, C. S. (2008) · Child Development · doi:10.1111/j.1467-8624.2008.01176.x · Cited by 352
Metadata
- Authors
- Duncan, G. J., & Magnuson, K. A.
- Venue
- The Future of Children
- Publisher
- Project MUSE
- Published
- 2005-03
- Volume
- 15
- Issue
- 1
- Pages
- 35-54
- ISSN
- 1054-8289 (ISSN-L)
- 1550-1558
- OpenAlex
- W2097355889
- Cited by
- 488
- References
- 68
- FWCI
- 73.14
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.