Related Studies
Employment and Training Services
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Employment and Training Services
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
- Earnings and wages-Low-No impactsEarnings and wages
- Employment-Low-No impactsEmployment
- Public benefits receipt-Low-No impactsPublic benefit receipt
Smith, J., Lewis, K., Hawthorne, L., & Hodges, S. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality & Social Psychology Bulletin, 39(2), 131-143. [Study 2]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
- Attitudes-Low-Unfavorable impactsAttitudes
Smith, J., Lewis, K., Hawthorne, L., & Hodges, S. (2013). When trying hard isn’t natural: Women’s belonging with and motivation for male-dominated STEM fields as a function of effort expenditure concerns. Personality & Social Psychology Bulletin, 39(2), 131-143. [Study 3]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
- Attitudes-Low-Favorable impactsAttitudes
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
- Earnings and wages-Mod/high-Unfavorable impactsEarnings and wages
- Employment-Mod/high-Unfavorable impactsEmployment
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
Kmec, J. (2013a). Why academic STEM mothers feel they have to work harder than others on the job. International Journal of Gender, Science, & Technology, 5(2), 80-101.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
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
Crumpton, J. A. (2019). WIOA impacts on community college student success (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses database. (UMI No. 13861007).
Topic Area: Community College
Study Type: Causal Impact Analysis
- Education and skills gains-Low-Favorable impactsEducation and skills gains
Crumpton, J. A. (2019). WIOA impacts on community college student success (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses database. (UMI No. 13861007).
Topic Area: Community College
Study Type: Causal Impact Analysis
- Education and skills gains-Low-Favorable impactsEducation and skills gains
Wisconsin Department of Industry, Labor, and Human Relations (1984). Wisconsin Job Service: ERP Pilot Project final report. Madison, WI: DILHR.
Topic Area: Job Search Assistance
Topic Area: Reemployment
Study Type: Causal Impact Analysis
- Public benefits receipt-Mod/high-No impactsPublic benefit receipt