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Displaying 1081 - 1090 of 1628 results
Hirsch, B., Hedges, L., Stawicki, J., & Mekinda, M. (2011). After-school programs for high school students: An evaluation of after-school matters. Evanston, IL: Northwestern University.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:Kim, H. (2011). Inquiry-based science and technology enrichment program: Green earth enhanced with inquiry and technology. Journal of Science Education & Technology, 20(6), 803-814.
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
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
Afterschool Alliance. (2011). STEM learning in afterschool: An analysis of impact and outcomes. Washington, DC.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
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
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
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: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:Bettinger, E., & Baker, R., (2011). The effects of student coaching in college: An evaluation of a randomized experiment in student mentoring. Stanford, CA: Stanford University School of Education.
Study Type: Causal Impact Analysis
Outcome Effectiveness:
