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1434

LePage, J. P., Bluitt, M., House-Hatfield, T., McAdams, H., Burdick, M., Dudley, D., …& Gaston, C. (2005). Improving success in a veterans homeless domiciliary vocational program: Model development and evaluation. Rehabilitation Psychology, 50(3), 297-304. doi: 10.1037/0090-5550.50.3.297

  • Topic Area: Veterans

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Veterans' reemployment

1716

Li, X. (2018). Improving the labor market outcomes of U.S. veterans: The long-run effect of the Transition Assistance Program. New York: Syracuse University.

  • Topic Area: Veterans

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Job search assistance and supportive services Veterans' reemployment Other training and education

1134

Choi, S. (2012). Income tax and older American workers’ job transition into self-employment. Korea and the World Economy, 13(2), 189-214.

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other employment and reemployment

1452

LePage, J. P., Lewis, A. A., Crawford, A. M., Parish, J. A., Ottomanelli, L., Washington, E. L., & Cipher, D. J. (2016). Incorporating individualized placement and support principles into vocational rehabilitation for formerly incarcerated veterans. Psychiatric Services, 67(7), 735-742.

  • Topic Area: Reentry

  • Topic Area: Veterans

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Job search assistance and supportive services Supported employment or other employment supports Veterans' reemployment

2278
Salkever, D. S., Gibbons, B., Drake, R. E., Frey, W. D., Hale, T. W., & Karakus, M. (2014). Increasing earnings of Social Security Disability income beneficiaries with serious mental disorder. The Journal of Mental Health Policy and Economics, 17(2), 75-90. https://psycnet.apa.org/record/2014-25727-005
  • Topic Area: Disability Employment Policy

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Employment and Training Services Employment and Reemployment Supported employment or other employment supports

581

Sullivan, K., & Davis, R. (2007). Increasing retention of women engineering students. American Society for Engineering Education. Proceedings of the 2007 American Society for Engineering Education Annual Conference and Meeting. Washington, DC: American Society for Engineering Education.

  • 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

300

Stapleton, D., Mamun, A., & Page, J. (2013). Initial impacts of the Ticket to Work program for young new Social Security disability awardees: Estimates based on randomly assigned mail months. Princeton, NJ: Mathematica Policy Research, Center for Studying Disability Policy.

  • Topic Area: Disability Employment Policy

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Outcome Effectiveness:

Disability insurance Supplemental security income (SSI) Supported employment or other employment supports

566

Kim, H. (2011). Inquiry-based science and technology enrichment program: Green earth enhanced with inquiry and technology. Journal of Science Education & Technology, 20(6), 803-814.

  • 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

578

Ong, M., Wright, C., Espinosa, L., & Orfield, G. (2011). Inside the double bind: A synthesis of empirical research on undergraduate and graduate women of color in science, technology, engineering, and mathematics. Harvard Educational Review, 81(2), 172-208.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

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

671

Koch, M., & Gorges, T. (2012). Inspiring girls and their female after school educators to pursue computer science and other STEM careers. International Journal of Gender, Science and Technology, 4(3), 294-312.

  • 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