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Cited by 314

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Running in Place: Low-Income Students and the Dynamics of Higher Education Stratification

Bastedo, Michael N., Jaquette, Ozan·2011·Educational Evaluation and Policy Analysis

Abstract

The increasing concentration of wealthy students at highly selective colleges is widely perceived, but few analyses examine the underlying dynamics of higher education stratification over time. To examine these dynamics, the authors build an analysis data set of four cohorts from 1972 to 2004. They find that low-income students have made substantial gains in their academic course achievements since the 1970s. Nonetheless, wealthier students have made even stronger gains in achievement over the same period, in both courses and test scores, ensuring a competitive advantage in the market for selective college admissions. Thus, even if low-income students were “perfectly matched” to institutions consistent with their academic achievements, the stratification order would remain largely unchanged. The authors consider organizational and policy interventions that may reverse these trends.

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Metadata

Authors
Bastedo, M. N., & Jaquette, O.
Venue
Educational Evaluation and Policy Analysis
Published
2011-09
Volume
33
Issue
3
Pages
318-339
ISSN
  • 0162-3737 (ISSN-L)
  • 1935-1062
OpenAlex
W2151796354
Cited by
314
References
4
FWCI
71.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Running in Place: Low-Income Students and the Dynamics of Higher Education Stratification. https://app.cochat.ai/papers/10.3102/0162373711406718
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Bastedo, M. N., & Jaquette, O. (2011). Running in Place: Low-Income Students and the Dynamics of Higher Education Stratification. Educational Evaluation and Policy Analysis. https://doi.org/10.3102/0162373711406718

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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.