Search for Studies
Search for Studies will search all study profiles and synthesis reports. Use Search the Site in the upper right to search for all site content such as the CLEAR review process. View Help using this Search.
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
Espinosa, L. (2011). Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence. Harvard Educational Review, 81(2), 209-240.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Riegle-Crumb, C., & King, B. (2011). Questioning a white male advantage in STEM: Examining disparities in college major by gender and race/ethnicity. Educational Researcher, 39(9), 656-664.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Hubelbank, J., Demetry, C., Nicholson, S., Blaisdell, S., Quinn, P., Rosenthal, E., & Sontgerath, S. (2007). Long-term effects of a middle school engineering outreach program for girls: A controlled study. In Proceedings, American Society for Engineering Education Annual Conference & Exhibition.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness: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:Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Mastracci, S.H. (2005). Persistent Problems Demand Consistent Solutions: Evaluating Policies to Mitigate Occupational Segregation by Gender. Review of Radical Political Economics, 37(1), 23-38.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Erkut, S., Marx, F., & Wellesley College Center for Research on Women. (2005). 4 schools for WIE. Evaluation report. Wellesley, MA: Wellesley Centers for Women.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Zajicek, A., Morimoto, S., Terdalkar, A., Hunt, V., Rencis, J., & Lisnic, R. (2011). Recruitment strategies for gender equity: Lessons from cohort 1 and cohort 2 advance institutions. Washington, DC: American Society for Engineering Education.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:
