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Displaying 31 - 40 of 98 results
Frehill, L. (2012). Gender and career outcomes of U.S. engineers. International Journal of Gender, Science and Technology, 4(2), 149-166.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Ampaw, F., & Jaeger, A. (2011). Understanding the factors affecting degree completion of doctoral women in the science and engineering fields. New Directions for Institutional Research, 152, 59-73.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
- Shea, C.M., Malone, M.F.F.T., Young, J.R., & Graham, K.J. (2019). Interactive theater: An effective tool to reduce gender bias in faculty searches. Equality, Diversity and Inclusion: An International Journal, (38)2, 178-187. http://dx.doi.org/10.1108/EDI-09-2017-0187
Topic Area: Employer Compliance
Study Type: Causal Impact Analysis
Schimpf, C., Santiago, M., Hoegh, J., Banerjee, D., & Pawley, A. (2013). STEM faculty and parental leave: Understanding an institution’s policy within a national policy context through structuration theory. International Journal of Gender, Science and Technology, 5(2), 103-125.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Weisgram, E., & Bigler, R. (2007). Effects of learning about gender discrimination on adolescent girls’ attitudes toward and interest in science. Psychology of Women Quarterly, 31, 262-269.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Mod/high-Favorable impactsAttitudes
Gillen, A., & Tanenbaum, C. (2014, September). Exploring gender imbalance among STEM doctoral degree recipients (Issue brief). Washington, DC: American Institutes for Research.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Brawner, C., & Camacho, M. (2012). Women in industrial engineering: Stereotypes, persistence, and perspectives. Journal of Engineering Education, 101(2), 288-318.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Wang, M., Eccles, J., & Kenny, S. (2013). Not lack of ability but more choice: Individual and gender differences in choice of careers in science, technology, engineering, and mathematics. Psychological Science, 24(5), 770-775.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Nemiro, J., Hacker, B., Ferrel, M., & Guthrie, R. (2009). Using appreciative inquiry as a tool to instigate transformational change in recruiting and developing women faculty in STEM disciplines. International Journal of Gender, Science and Technology, 1(1), 5-35.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Hughes, R. (2011). Are the predictors of women’s persistence in STEM painting the full picture? A series of comparative case studies. International Journal of Gender, Science and Technology, 3(3), 548-570.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis