Women's career development: Can theoretically derived variables predict persistence in engineering majors?
Abstract
Factors related to persistence in engineering, particularly for women, were examined in 278 upper level undergraduate women and men who, as entering students, enrolled in the college of engineering at a large midwestern university. An overall model of persistence was created by integrating constructs derived from a number of theories relevant to women's career behavior, including self-efficacy theory, expectancy-valence theory, interest congruence theory, and influences on women's career development. Hierarchical logistic regression revealed that ability, self-efficacy, support-barriers, and interest congruence each added significantly to the model predicting persistence, which correctly identified 92.6% of persisters and 62.3% of nonpersisters. Gender and expectancy-valence variables were not significant predictors, nor were any of the 2-way interactions with gender. Implications for future research and interventions are discussed.
Cites (4)
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Cited by (13)
- Contextual supports and barriers to career choice: A social cognitive analysis.Lent, Robert W., Brown, Steven D., Hackett, Gail · 2000 · Journal of Counseling Psychology
- Social cognitive predictors of academic interests and goals in engineering: Utility for women and students at historically Black universitiesLent, Robert W., Brown, Steven D., Sheu, Hung-Bin, Schmidt, Janet, Brenner, Bradley R., Gloster, Clay S., Wilkins, Gregory, Schmidt, Linda C., Lyons, Heather, Treistman, Dana · 2005 · Journal of Counseling Psychology
- Social cognitive career theory and the prediction of interests and choice goals in the computing disciplinesLent, Robert W., Lopez, Antonio M., Lopez, Frederick G., Sheu, Hung-Bin · 2008 · Journal of Vocational Behavior
- Longitudinal relations of self-efficacy to outcome expectations, interests, and major choice goals in engineering studentsLent, Robert W., Sheu, Hung-Bin, Singley, Daniel, Schmidt, Janet A., Schmidt, Linda C., Gloster, Clay S. · 2008 · Journal of Vocational Behavior
- An Analysis of Motivation Constructs with First‐Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career PlansJones, Brett D., Paretti, Marie C., Hein, Serge F., Knott, Tamara W. · 2010 · Journal of Engineering Education
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Women's career development: Can theoretically derived variables predict persistence in engineering majors? https://app.cochat.ai/papers/10.1037//0022-0167.44.2.173
- The paper
- Schaefers, K. G., Epperson, D. L., & Nauta, M. M. (1997). Women's career development: Can theoretically derived variables predict persistence in engineering majors? Journal of Counseling Psychology. https://doi.org/10.1037//0022-0167.44.2.173
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.