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Related Studies

Displaying 101 - 110 of 150
2288
Schlegelmilch, A., Roskowski, M., Brinck, E. A., Anderson, C. A., Hartman, E., Chan, F., Tansey, T. N., & Decker-Maurer, H. (2021). Stages of change scale to measure work readiness of transition-age youth with disabilities: A promising approach. Rehabilitation Counseling Bulletin, 65(1), 61–69. https://doi.org/10.1177/0034355220970619
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Employment and Training Services Employment and Reemployment Youth programs

97

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

Causal Evidence Rating: High Causal Evidence

Basic skills Community college education and other classroom training Mentoring Other training and education Youth programs

634

Heaverlo, C. (2011). STEM development: A study of 6th-12th grade girls’ interest and confidence in mathematics and science (Doctoral dissertation, Iowa State University). Retrieved from http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1035&context=etd

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs

577

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

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs

689

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

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs Science, Technology, Engineering, and Math (STEM) programs Youth programs

2340
Fein, D., Dastrup, S., & Burnett, K. (2021). Still bridging the opportunity divide for low-income youth: Year Up’s longer-term impacts (Report No. 2021-56). Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.
  • Topic Area: Registered Apprenticeship and Work-Based Learning

  • Topic Area: Opportunities for Youth

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Employment and Training Services Employment and Reemployment Youth programs

336

Robinson, M. (2003). Student enrollment in high school AP sciences and calculus: how does it correlate with STEM careers? Bulletin of Science, Technology & Society, 23, 265–273.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs Youth programs

77

Garcia, Y. Study of Hispanics in Job Corps: 2004–2005. Washington, DC: HMA Associates, 2007.

  • Topic Area: Opportunities for Youth

Study Type: Descriptive Analysis

Outcome Effectiveness:

Job search assistance and supportive services Youth programs Other training and education Work based and other occupational training

429

Demetry, C., Hubelbank, J., Blaisdell, S., Sontgerath, S., Nicholson, M.E., Rosenthal, E., & Quinn, P. (2009). Supporting young women to enter engineering: Long-term effects of a middle school engineering outreach program for girls. Journal of Women and Minorities in Science and Engineering 15, 119-142.

  • Topic Area: Women in Science, Technology, Engineering, & Math (STEM)

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Science, Technology, Engineering, and Math (STEM) programs Youth programs

256

Roder, A., & Elliott, M. (2014). Sustained gains: Year Up’s continued impacts on young adults’ earnings. New York: Economic Mobility Corporation.

  • Topic Area: Opportunities for Youth

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Basic skills Other training and education Work based and other occupational training Youth programs