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Displaying 1 - 10 of 15 results
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
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., 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
Wao, H., Lee, R., & Borman, K. (2010). Climate for retention to graduation: A mixed methods investigation of student perceptions of engineering departments and programs. Journal of Women and Minorities in Science and Engineering, 16(4), 293-317.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Rice, K., Lopez, F., Richardson, C., & Stinson, J. (2013). Perfectionism moderates stereotype threat effects on STEM majors’ academic performance. Journal of Counseling Psychology, 60(2), 287-293.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Kniola, D., Chang, M., & Olsen, D. (2012). Transformative graduate education programs: An analysis of impact on STEM and non-STEM Ph.D. completion. Higher Education, 63(4), 473–495. doi:10.1007/s10734-011-9453-8
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Oh, S., & Lewis, G. (2011). Stemming inequality? Employment and pay of female and minority scientists and engineers in the federal and private sectors. Social Science Journal, 48(2), 397-403.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Harackiewicz, J., Rozek, C., Hulleman, C., & Hyde, J. (2012). Helping parents to motivate adolescents in mathematics and science: An experimental test of a utility-value intervention. Psychological Science, 23(8), 899-906.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Koch, M., & Gorges, T. (2012). Inspiring girls and their female after school educators to pursue computer science and other STEM careers. International Journal of Gender, Science and Technology, 4(3), 294-312.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Blake, R., Liou-Mark, J., & Chukuigwe, C. (2013). An effective model for enhancing underrepresented minority participation and success in geoscience undergraduate research. Journal of Geoscience Education, 61(4), 405-414.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
