Related Studies
Employment and Training Services > Employment and Reemployment > Youth programs
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Employment and Training Services > Employment and Reemployment > Youth programs
Topic Area: Registered Apprenticeship and Work-Based Learning
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-No impactsEarnings and wages
- Education and skills gains-Mod/high-No impactsEducation and skills gains
- Employment-Mod/high-Favorable impactsEmployment
Mitchell, M., Jenkins, D., Nguyen, D., Lerman, A., & DeBerry, M. (2003). Evaluation of the Youthbuild Program. Report submitted to U.S. Department of Housing and Urban Development, Office of Policy Research and Development Division. Chicago: The Counselors of Real Estate.
Topic Area: Opportunities for Youth
Study Type: Implementation Analysis
Abrazaldo, W., Adefuin, J., Henderson-Frakes, J., Lea, C., Leufgen, J., Lewis-Charp, H., … Wiegand, A. (2009). Evaluation of the YouthBuild Youth Offender Grants. Oakland, CA: SPR Associates.
Topic Area: Opportunities for Youth
Study Type: Implementation Analysis
Massi, L., Reilly, C., Johnson, D., & Castner, L. (2012). Expanding Your Horizons: The impact of a one-day STEM conference on middle school girls’ and parents’ attitude toward STEM careers. Proceedings of the 2012 American Society for Engineering Education Annual Conference & Exposition. Washington, DC: American Society for Engineering Education.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
- Attitudes-Low-No impactsAttitudes
Topic Area: Justice-Involved Youth
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Education and skills gains-Low-No impactsEducation and skills gains
- Employment-Mod/high-Favorable impactsEmployment
- Public benefits receipt-Mod/high-Favorable impactsPublic benefit receipt
- Training-Low-No impactsTraining
Riegle-Crumb, C., & Humphries, M. (2012). Exploring bias in math teachers’ perceptions of students’ ability by gender and race/ethnicity. Gender & Society, 26(2), 290-322.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Topic Area: Low-Income Adults
Study Type: Implementation Analysis
Topic Area: Low-Income Adults
Study Type: Causal Impact Analysis
- Earnings and wages-Mod/high-No impactsEarnings and wages
- Employment-Mod/high-No impactsEmployment
Amelink, C., & Creamer, E. (2010). Gender differences in elements of the undergraduate experience that influence satisfaction with the engineering major and the intent to pursue engineering as a career. Journal of Engineering Education, 99(1), 81-92.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Toglia, T. (2013). Gender equity issues in CTE and STEM education. TechDirections, 72, 14-18.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis