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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
Khan, S. (2005). Teaching strategies designed to change the undergraduate experience for college women learning chemistry. Journal of Women and Minorities in Science and Engineering 11, 365-387.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness: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:Pohlhaus, J.R., Jiang, H., Wagner, R.M., Schaffer, W.T., & Pinn, V.W. (2011). Sex differences in application, success, and funding rates for NIH extramural programs. Academic Medicine, 86(6), 759-767.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Wang, M., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 1-37
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Szelényi, K., & Inkelas, K. (2011). The role of living–learning programs in women’s plans to attend graduate school in STEM fields. Research in Higher Education, 52(4), 349-369.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Starobin, S., & Bivens, G. (2014). The role of secondary school and community college collaborations to increase Latinas in engineering in a rural community. New Directions for Community Colleges, 2014(165), 17-23.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Cohoon, J.M. (2010). Change the gender composition of high school computing courses (case study 2): Attracting females and minority students through targeted recruiting. Boulder, CO: National Center for Women & Information Technology.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Inkelas, K. (2011). Living-learning programs for women in STEM. New Directions for Institutional Research 152, 27-37.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
