Summer Setback: Race, Poverty, School Composition, and Mathematics Achievement in the First Two Years of School
Abstract
Doris R. Entwisle, Karl L. Alexander, Summer Setback: Race, Poverty, School Composition, and Mathematics Achievement in the First Two Years of School, American Sociological Review, Vol. 57, No. 1 (Feb., 1992), pp. 72-84
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Blacks lose ground during the school year in both subjects in both years, in direct conflict with Entwisle and Alexander (1992).
“We do observe Blacks losing ground during the school year in both subjects in both years, in direct conflict with Entwisle and”
From Understanding the Black-White Test Score Gap in the First Two Years of School (2004) · cites this paper as Entwisle and Alexander (1992)
Cited by
Sorted by citations
The Effects of Summer Vacation on Achievement Test Scores: A Narrative and Meta-Analytic Review
Cooper, H., Nye, B., Charlton, K., Lindsay, J., & Greathouse, S. (1996) · Review of Educational Research · doi:10.3102/00346543066003227 · Cited by 991 · see citing works
Understanding the Black-White Test Score Gap in the First Two Years of School
Fryer, R. G., & Levitt, S. D. (2004) · Review of Economics and Statistics · doi:10.1162/003465304323031049 · Cited by 936 · see citing works
Are Schools the Great Equalizer? Cognitive Inequality during the Summer Months and the School Year
Downey, D. B., von Hippel, P. T., & Broh, B. A. (2004) · American Sociological Review · doi:10.1177/000312240406900501 · Cited by 853 · see citing works
Schools, Achievement, and Inequality: A Seasonal Perspective
Alexander, K. L., Entwisle, D. R., & Olson, L. S. (2001) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737023002171 · Cited by 575 · see citing works
Self-citationFranckle, R., Adler, R., & Davison, K. (2014) · Preventing Chronic Disease · doi:10.5888/pcd11.130355 · Cited by 230 · see citing works
von Hippel, P., & Hamrock, C. (2019) · Sociological Science · doi:10.15195/v6.a3 · Cited by 149 · see citing works
Verachtert, P., Van Damme, J., Onghena, P., & Ghesquière, P. (2009) · School Effectiveness and School Improvement · doi:10.1080/09243450902883896 · Cited by 58 · see citing works
A Statewide Evaluation of Academic Achievement in Year-Round Schools
McMillen, B. J. (2001) · The Journal of Educational Research · doi:10.1080/00220670109596574 · Cited by 42 · see citing works
Meyer, F., Meissel, K., & McNaughton, S. (2017) · Journal of Research in Reading · doi:10.1111/1467-9817.12061 · Cited by 30 · see citing works
- Authors
- Entwisle, D. R., & Alexander, K. L.
- Affiliations
- Johns Hopkins University (US)
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1992-02
- Volume
- 57
- Issue
- 1
- Pages
- 72
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W2021638707
- Cited by
- 440
- References
- 0
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 10 · 2023: 9 · 2022: 12 · 2021: 15 · 2020: 8 · 2019: 15 · 2018: 10 · 2017: 19 · 2016: 26 · 2015: 14 · 2014: 19 · 2013: 21 · 2012: 19
- FWCI
- 28.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Sociological Review (publishedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Sociology and Political Science › Critical Race Theory in Education
- Social Sciences › Education › Early Childhood Education and Development
- Keywords
- summer learning loss, mathematics achievement, early childhood education, school composition, racial disparities, poverty, first grade, second grade
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review