Skip to main content

Related Studies

Displaying 671 - 680 of 716
857

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [Minnesota Tier 2]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Other employment and reemployment Substance abuse recovery

856

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the Hard-to-Employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08). Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC PRIDE]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Other employment and reemployment Unemployment Insurance

855

Butler, D., Alson, J., Bloom, D., Deitch, V., Hill, A., Hsueh, J., Jacobs, E., Kim, S., McRoberts, R., & Redcross, C. (2012). What strategies work for the hard-to-employ? Final results of the hard-to-employ demonstration and evaluation project and selected sites from the Employment Retention and Advancement project. (OPRE Report 2012-08.) Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. [NYC SACM]

  • Topic Area: Low-Income Adults

Study Type: Causal Impact Analysis

Causal Evidence Rating: Low Causal Evidence

Outcome Effectiveness:

Other employment and reemployment Substance abuse recovery

1136

Bailey, J. (2014). Who pays the high health costs of older workers? Evidence from prostate cancer screening mandates. Applied Economics, 46(32), 3931-3941. doi:10.1080/00036846.2014.948673

  • Topic Area: Older Workers

Study Type: Causal Impact Analysis

Causal Evidence Rating: Moderate Causal Evidence

Health insurance Older workers' programs

576

Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458-476.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs Other disparities or discrimination in employment and earnings

629

Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Washington, D.C.: American Association of University Women.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Science, Technology, Engineering, and Math (STEM) programs Other disparities or discrimination in employment and earnings

406

Wisconsin Department of Industry, Labor, and Human Relations (1984). Wisconsin Job Service: ERP Pilot Project final report. Madison, WI: DILHR.

  • Topic Area: Reemployment

Study Type: Causal Impact Analysis

Causal Evidence Rating: High Causal Evidence

Outcome Effectiveness:

Job search assistance and supportive services

531

St. Rose, A., & Hill, C. (2013). Women in community colleges: Access to success. Washington, DC: American Association of University Women.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

Youth programs Community college education and other classroom training Science, Technology, Engineering, and Math (STEM) programs

525

Brawner, C., & Camacho, M. (2012). Women in industrial engineering: Stereotypes, persistence, and perspectives. Journal of Engineering Education, 101(2), 288-318.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

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

633

Gorman, S., Durmowicz, M., Roskes, E., & Slattery, S. (2010). Women in the academy: Female leadership in STEM education and the evolution of a mentoring web. Forum on Public Policy Online, 2010(2), 1-21.

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

Study Type: Descriptive Analysis

Outcome Effectiveness:

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