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Displaying 1 - 10 of 98 results
Stout, J., Dasgupta, N., Hunsinger, M., & McManus, M. (2011). STEMing the tide: Using in-group experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255-270. [one of three studies described in a single report]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Low-Unfavorable impactsAttitudes
Ong, M., Wright, C., Espinosa, L., & Orfield, G. (2011). Inside the double bind: A synthesis of empirical research on undergraduate and graduate women of color in science, technology, engineering, and mathematics. Harvard Educational Review, 81(2), 172-208.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Stout, J., Dasgupta, N., Hunsinger, M., & McManus, M. (2011). STEMing the tide: Using in-group experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255-270. [one of three studies described in a single report]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Low-Favorable impactsAttitudes
Stout, J., Dasgupta, N., Hunsinger, M., & McManus, M. (2011). STEMing the tide: Using in-group experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255-270. [one of three studies described in a single report]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Mod/high-Favorable impactsAttitudes
Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Washington, D.C.: American Association of University Women.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Milgram, D. (2011). How to recruit women and girls to the science, technology, engineering, and math (STEM) classroom. Technology and Engineering Teacher, 71(3), 4-11.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Demetry, C., Hubelbank, J., Blaisdell, S., Sontgerath, S., Nicholson, M.E., Rosenthal, E., & Quinn, P. (2009). Supporting young women to enter engineering: Long-term effects of a middle school engineering outreach program for girls. Journal of Women and Minorities in Science and Engineering 15, 119-142.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Low-Favorable impactsEducation and skills gains
Costello, C. (2012). Increasing opportunities for low-income women and student parents in science, technology, engineering, and math at community colleges. Washington, DC: Institute for Women’s Policy Research.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Bakian, A.V., & Sullivan, K.A. (2010). The Effectiveness of Institutional Intervention on Minimizing Demographic Inertia and Improving the Representation of Women Faculty in Higher Education. International Journal of Gender, Science and Technology, 2(2), 207-234.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Employment-Low-Favorable impactsEmployment
Bilimoria, D., & Liang, X. (2011). Gender Equity in Science and Engineering: Advancing Change in Higher Education. New York: Routledge.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Employment-Low-Favorable impactsEmployment