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Displaying 711 - 720 of 1280 results
Dorsett, R., Hendra, R., Robins, P. K., & Williams, S. (2013). Can post-employment services combined with financial incentives improve employment retention for welfare recipients? Evidence from the Texas Employment Retention and Advancement evaluation. (No. 1413-13). Madison, WI: Institute for Research on Poverty.
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Employment-Low-Favorable impactsEmployment
Andersson, F., Holzer, H. J., Lane, J. I., Rosenblum, D., & Smith, J. (2013). Does federally-funded job training work? Nonexperimental estimates of WIA training impacts using longitudinal data on workers and firms (Discussion paper no. 7621). Bonn, Germany: IZA. [Dislocated Workers ONLY]
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Mixed impactsEarnings and wages
- Employment-Mod/high-Mixed impactsEmployment
Andersson, F., Holzer, H. J., Lane, J. I., Rosenblum, D., & Smith, J. (2013). Does federally-funded job training work? Nonexperimental estimates of WIA training impacts using longitudinal data on workers and firms (Discussion paper no. 7621). Bonn, Germany: IZA. [Adults ONLY]
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Employment-Mod/high-Favorable impactsEmployment
Riccio, J., Dechausay, N., Miller, C., Nunez, S., Verma, N., & Yang E. (2013). Conditional cash transfers in New York City: The continuing story of the Opportunity NYC—Family Rewards demonstration. New York, NY: MDRC.
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Employer benefits receipt-Mod/high-Favorable impactsEmployer benefits receipt
- Public benefits receipt-Mod/high-Favorable impactsPublic benefit receipt
Edgecombe, N., Jaggers, S., Baker, E., & Bailey, T. (2013). Acceleration through a holistic support model: An implementation and outcomes analysis of FastStart@CCD. Community College Research Center Report. New York: Teachers College, Columbia University.
Topic Area: Community College
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
Smith, J., Lewis, K., Hawthorne, L., & Hodges, S. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality & Social Psychology Bulletin, 39(2), 131-143. [Study 3]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Low-Favorable impactsAttitudes
Martin, V. & Broadus, J. (2013). Enhancing GED instruction to prepare students for college and careers: Early success in LaGuardia Community College’s Bridge to Health and Business program. New York: MDRC.
Topic Area: Community College
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
Roder, A. & Elliott, M. (2013). Stimulating opportunity: An evaluation of ARRA-funded subsidized employment programs. New York: Economic Mobility Corporation. Retrieved from http://economicmobilitycorp.org/uploads/stimulating-opportunity-full-report.pdf.
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Low-Favorable impactsEarnings and wages
- Employment-Low-Favorable impactsEmployment
Heller, S., Pollack, H. A., Ander, R., & Ludwig, J. (2013). Preventing youth violence and dropout: A randomized field experiment (No. w19014). Cambridge, MA: National Bureau of Economic Research.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
Conley, A., McMillan, S., & Tovar, L. (2013). Hardhats, boots and goggles revisited: STEM career development for the 21st century. Career Planning & Adult Development Journal, 29(2), 81-92.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis