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Displaying 11 - 20 of 21 results
- Geckeler, C., Betesh, H., Diaz, H., Folsom, L., Kim, H., & Paprocki, A. (2017). Helping dropout youth find education and employment: Final impact report for the evaluation of the Los Angeles Reconnections Career Academy (LARCA) program. Oakland, CA: Social Policy Research Associates.
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Unfavorable impactsEarnings and wages
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Employment-Mod/high-Unfavorable impactsEmployment
- Public benefits receipt-Mod/high-Unfavorable impactsPublic benefit receipt
Lane, J., Turner, S., Fain, T., & Sehgal, A. (2005). Evaluating an experimental intensive juvenile probation program: Supervision and official outcomes. Crime & Delinquency, 51(1), 26-52.
Topic Area: Justice-Involved Youth, Opportunities for Youth
Study Type: Causal Impact Analysis
Lane, J., Turner, S., Fain, T., & Sehgal, A. (2007). The effects of an experimental intensive juvenile probation program on self-reported delinquency and drug use. Journal of Experimental Criminology, 3(3), 201-219.
Topic Area: Justice-Involved Youth, Opportunities for Youth
Study Type: Causal Impact Analysis
- Gardiner, K., & Juras, R. (2019). PACE Cross-Program Implementation and Impact Study Findings (Report No. 2019-32). Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [Year Up]
Topic Area: Low-Income Adults, 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
Henggeler, S., Halliday-Boykins, C., Cunningham, P., Randall, J., Shapiro, S., & Chapman, J. (2006). Juvenile drug court: Enhancing outcomes by integrating evidence-based treatments. Journal of Consulting and Clinical Psychology, 74(1), 42-54.
Topic Area: Justice-Involved Youth, Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Health and safety-Mod/high-Favorable impactsHealth and safety
Jastrzab, J., Blomquist, J., Masker, J., & Orr, L. (1997). Youth Corps: Promising strategies for young people and their communities. Cambridge, MA: Abt Associates Inc.
Topic Area: Opportunities for Youth
Study Type: Descriptive Analysis
Britner, P., Buch, R., Colon, R., Milan, S., Singer, M., & Snow, S. (2009). Youth work and learn at Our Piece of the Pie (OPP): Findings of the formative evaluation of Connecticut's youth development model. Storrs, CT: Center for Health, Intervention and Prevention, University of Connecticut.
Topic Area: Opportunities for Youth
Study Type: Descriptive Analysis
- Miller, C., Millenky, M., Schwartz, L., Goble, L., & Stein, J. (2016). Building a future: Interim impact findings from the YouthBuild evaluation. New York, NY: MDRC.
Topic Area: Low-Income Adults, 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
- Miller, C., Cummings, D., Millenky, M., Wiegand, A., & Long, D. (2018). Laying a Foundation: Four-Year Results from the National YouthBuild Evaluation. New York, NY: MDRC.
Topic Area: Low-Income Adults, Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Mixed impactsEarnings and wages
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Employment-Mod/high-Favorable impactsEmployment
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