Cited by 527Doctoral Education Challenges and SolutionsHigher Education Research StudiesMentoring and Academic Development

Fitting the Mold of Graduate School: A Qualitative Study of Socialization in Doctoral Education

Gardner, Susan K.·2008·Innovative Higher Education

Integrity signals

Registry

Crossref · 10.1007/s10755-008-9068-x

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  • Student demographics and negative socialization experiences whereby students experience feelings of 'differentness' from their peers can affect overall satisfaction and integration into degree programs.

    “Conversely, student demographics and negative socialization experiences whereby students experience feelings of 'differentness' from their peers (e.g., older adults, students with children, women, students of colour, part-time students) can affect overall satisfaction and integration into degree programs (Gardner, 2008; Greene, 2013; Offerman, 2011).”

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Authors
Gardner, S. K.
Affiliations
University of Maine (US)
Corresponding author
Gardner, Susan K.
Venue
Innovative Higher Education
Published
2008-03-11
Volume
33
Issue
2
Pages
125-138
ISSN
  • 0742-5627 (ISSN-L)
  • 1573-1758
OpenAlex
W2027662868
Cited by
527
References
0
Citations by year
2026: 38 · 2025: 23 · 2024: 30 · 2023: 25 · 2022: 38 · 2021: 33 · 2020: 35 · 2019: 44 · 2018: 49 · 2017: 28 · 2016: 25 · 2015: 34 · 2014: 33 · 2013: 22 · 2012: 32
FWCI
22.53
Type
journal article
Language
en
Open access
closed
Locations
Innovative Higher Education (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Doctoral Education Challenges and Solutions
  • Social Sciences › Education › Higher Education Research Studies
  • Social Sciences › Psychology › Social Psychology › Mentoring and Academic Development
Keywords
doctoral education, socialization, doctoral student attrition, student retention, underrepresented students, women in STEM, students of color, part-time students, older students, graduate school

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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.

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