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Displaying 861 - 870 of 1294 results
Courtney, M., Zinn, A., Johnson, H., and Malm, K. (2011). Evaluation of the Massachusetts Adolescent Outreach Program for Youths in Intensive Foster Care: Final Report. OPRE Report #2011-14. Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-No impactsEarnings and wages
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Employment-Mod/high-No impactsEmployment
- Public benefits receipt-Mod/high-No impactsPublic benefit receipt
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
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:- Attitudes-Low-Favorable impactsAttitudes
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
Millenky, M., Bloom, D., Muller-Ravett, S., & Broadus, J. (2011). Staying on course: Three-year results of the National Guard Youth ChalleNGe Evaluation. New York: MDRC.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Employment-Mod/high-Favorable impactsEmployment
- Training-Mod/high-Favorable impactsTraining
Rodríguez-Planas, N. (2012). Longer-term impacts of mentoring, educational services, and learning incentives: Evidence from a randomized trial in the United States. American Economic Journal: Applied Economics, 4(4):121–139.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Training-Mod/high-No impactsTraining
Bellotti, J., Rosenberg, L., Sattar, S., Esposito, A., & Ziegler, J. (2010). Reinvesting in America’s youth: Lessons from the 2009 Recovery Act Summer Youth Employment Initiative. Princeton, NJ: Mathematica Policy Research.
Topic Area: Opportunities for Youth
Study Type: Implementation Analysis
Pengcharoen, C., & Shultz, K. S. (2010). The influences on bridge employment decisions. International Journal of Manpower, 31(3), 322-336. doi:10.1108/01437721011050602
Topic Area: Older Workers
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Employment-Low-Unfavorable impactsEmployment
Kaushal, N. (2010). Elderly immigrants’ labor supply response to supplemental security income. Journal of Policy Analysis and Management, 29(1), 137-162.
Topic Area: Older Workers
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Low-Favorable impactsEarnings and wages
- Employment-Low-Favorable impactsEmployment