Cited by 360Higher Education Research StudiesCareer Development and DiversityHigher Education Practises and Engagement

Sense of Belonging and Persistence in White and African American First-Year Students

Hausmann, Leslie R. M., Ye, Feifei, Schofield, Janet Ward, Woods, Rochelle L.·2009·Research in Higher Education

Integrity signals

Registry

Crossref · 10.1007/s11162-009-9137-8

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Cites

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Authors
Hausmann, L. R. M., Ye, F., Schofield, J. W., & Woods, R. L.
Affiliations
  • VA Pittsburgh Healthcare System (US)
  • University of Pittsburgh (US)
  • University of Michigan (US)
Corresponding author
Hausmann, Leslie R. M.
Venue
Research in Higher Education
Published
2009-04-17
Volume
50
Issue
7
Pages
649-669
ISSN
  • 0361-0365 (ISSN-L)
  • 1573-188X
OpenAlex
W2059335579
Cited by
360
References
2
Citations by year
2026: 18 · 2025: 33 · 2024: 43 · 2023: 31 · 2022: 27 · 2021: 33 · 2020: 40 · 2019: 30 · 2018: 15 · 2017: 16 · 2016: 15 · 2015: 17 · 2014: 12 · 2013: 14 · 2012: 8
FWCI
21.25
Type
journal article
Language
en
Open access
closed
Locations
Research in Higher Education (publishedVersion)
Funders
  • Spencer Foundation
  • Society for the Psychological Study of Social Issues
  • Health Services Research and Development
Topics
  • Social Sciences › Education › Higher Education Research Studies
  • Social Sciences › Safety Research › Career Development and Diversity
  • Social Sciences › Education › Higher Education Practises and Engagement
Keywords
sense of belonging, student persistence, first-year students, African American students, white students, institutional commitment, persistence intentions, belonging interventions, racial differences, student retention

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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.

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