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Related Studies

Displaying 151 - 160 of 217
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

700

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 Youth programs

690

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: Low Causal Evidence

Outcome Effectiveness:

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

225

Maxwell, N. (2001). Step to College: Moving from the High School Career Academy through the 4 Year University. Evaluation Review, 25(6), 619–654.

  • Topic Area: Career Academies

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Youth programs Community college education and other classroom training Work based and other occupational training

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

674

Drane, D., Micari, M., & Light, G. (2014). Students as teachers: Effectiveness of a peer-led STEM learning programme over 10 years. Educational Research & Evaluation, 20(3), 210-230.

  • 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