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Cited by 342

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Developing Models of Graduate Student Degree Progress

Girves, Jean E., Wemmerus, Virginia·1988·The Journal of Higher Education

Abstract

Few studies have focused on graduate student retention or degree progress; rather, the emphasis in the literature has been on attracting the best and/or the underrepresented students to graduate school [13]. What happens to these students once they enroll? The dropout rate differs for women and minorities compared to men and non-minorities at each step along the educational pipeline, including graduate school [5]. However, little information is available on the factors associated with graduate student retention or degree progress or on the reasons why some students stay and others leave before earning a degree. The purpose of this article is to present a model that links department and student characteristics, financial support, and student perceptions of the faculty with student grades, involvement in the program, satisfaction with the department, and alienation in order to predict progress toward the master's and doctoral degrees.

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Metadata

Authors
Girves, J. E., & Wemmerus, V.
Venue
The Journal of Higher Education
Published
1988-03
Volume
59
Issue
2
Pages
163-189
ISSN
  • 0022-1546 (ISSN-L)
  • 1538-4640
OpenAlex
W2080373270
Cited by
342
References
18
FWCI
10.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developing Models of Graduate Student Degree Progress. https://app.cochat.ai/papers/10.1080/00221546.1988.11778320
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Girves, J. E., & Wemmerus, V. (1988). Developing Models of Graduate Student Degree Progress. The Journal of Higher Education. https://doi.org/10.1080/00221546.1988.11778320

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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.