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Cited by 384

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

A Longitudinal Study of Engineering Student Performance and Retention. III. Gender Differences in Student Performance and Attitudes

Felder, Richard M., Felder, Gary N., Mauney, Meredith, Hamrin, Charles E., Dietz, E. Jacquelin·1995·Journal of Engineering Education

Abstract

In a continuing study under way at North Carolina State University, a cohort of students took five chemical engineering courses taught by the same instructor in five consecutive semesters. This report examines gender differences in the students' academic performance, persistence in chemical engineering, and attitudes toward their education and themselves. The women in the study on average entered chemical engineering with credentials equal to or better than those of the men, but exhibited an erosion relative to the men in both academic performance and confidence as they progressed through the curriculum. Possible causes of the observed disparities are suggested and remedial measures are proposed.

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Crossref · 10.1002/j.2168-9830.1995.tb00162.x

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Metadata

Authors
Felder, R. M., Felder, G. N., Mauney, M., Hamrin, C. E., & Dietz, E. J.
Venue
Journal of Engineering Education
Publisher
Wiley
Published
1995-04
Volume
84
Issue
2
Pages
151-163
ISSN
  • 1069-4730 (ISSN-L)
  • 2168-9830
OpenAlex
W2170864676
Cited by
384
References
25
FWCI
24.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Longitudinal Study of Engineering Student Performance and Retention. III. Gender Differences in Student Performance and Attitudes. https://app.cochat.ai/papers/10.1002/j.2168-9830.1995.tb00162.x
The paper
Felder, R. M., Felder, G. N., Mauney, M., Hamrin, C. E., & Dietz, E. J. (1995). A Longitudinal Study of Engineering Student Performance and Retention. III. Gender Differences in Student Performance and Attitudes. Journal of Engineering Education. https://doi.org/10.1002/j.2168-9830.1995.tb00162.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.