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Related Studies

Displaying 461 - 470 of 716
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

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: Apprenticeship and Work-Based Training

  • 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

446

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

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other employment and reemployment

914

Miller, C., Tessler, B., & Van Dok, M. (2009). Strategies to help low-wage workers advance: Implementation and early impacts of the Work Advancement and Support Center (WASC) demonstration. New York City: MDRC. [Dayton]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Other employment and reemployment Other training and education

915

Miller, C., Tessler, B., & Van Dok, M. (2009). Strategies to help low-wage workers advance: Implementation and early impacts of the Work Advancement and Support Center (WASC) demonstration. New York City: MDRC. [San Diego]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other employment and reemployment Other training and education

926

Miller, C., Tessler B. L., & Van Dok, M. (2012). Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. New York: MDRC. [Academy for Career Advancement—Bridgeport]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other employment and reemployment Other training and education Unemployment Insurance

924

Miller, C., Tessler, B. L., & Van Dok, M. (2012). Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. New York: MDRC. [Dayton—Move Up]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other employment and reemployment Other training and education

925

Miller, C., Tessler, B. L., & Van Dok, M. (2012). Strategies to help low-wage workers advance: Implementation and final impacts of the Work Advancement and Support Center (WASC) demonstration. New York: MDRC. [San Diego—EARN!]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Other employment and reemployment Other training and education

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