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Displaying 1 - 10 of 27 results
- Mukherjee Das, A. (2019). Three essays on immigration policy and labor market outcomes in the U.S. (Ph.D., Middle Tennessee State University). ProQuest Dissertations and Theses. (2292188664).
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Low-No impactsEarnings and wages
- Employment-Low-Unfavorable impactsEmployment
Hendra, R., Greenberg, D. H., Hamilton, G., Oppenheim, A. Pennington, A. Schaberg, K., and Tessler, B. L. (2016). Encouraging evidence on a sector-focused advancement strategy. New York: MDRC. [Per Scholas]
Topic Area: Apprenticeship and Work-Based Training
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
- Education and skills gains-Mod/high-Favorable impactsEducation and skills gains
- Employment-Mod/high-Favorable impactsEmployment
Gillen, A., & Tanenbaum, C. (2014, September). Exploring gender imbalance among STEM doctoral degree recipients (Issue brief). Washington, DC: American Institutes for Research.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Craig, C. A., Allen, M. W., Reid, M. F., Riemenschneider, C. K., & Armstrong, D. J. (2013). The impact of career mentoring and psychosocial mentoring on affective organizational commitment, job involvement, and turnover intention. Administration & Society, 45(8), 949–973. doi:10.1177/0095399712451885
Topic Area: Apprenticeship and Work-Based Training
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Employment-Low-Mixed impactsEmployment
Wang, M., Eccles, J., & Kenny, S. (2013). Not lack of ability but more choice: Individual and gender differences in choice of careers in science, technology, engineering, and mathematics. Psychological Science, 24(5), 770-775.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Schimpf, C., Santiago, M., Hoegh, J., Banerjee, D., & Pawley, A. (2013). STEM faculty and parental leave: Understanding an institution’s policy within a national policy context through structuration theory. International Journal of Gender, Science and Technology, 5(2), 103-125.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Institute for Women’s Policy Research. (2013). Accelerating change for women faculty of color in STEM: Policy, action, and collaboration. Washington, DC: Institute for Women’s Policy Research.
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
Long, Z., Buzzanell, P., Kokini, K., Wilson, R., Batra, J., & Anderson, L. (2013). Exploring women engineering faculty’s mentoring networks. Proceedings of the 2013 American Society for Engineering Education Annual Conference & Exposition, Washington, DC.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Rice, K., Lopez, F., Richardson, C., & Stinson, J. (2013). Perfectionism moderates stereotype threat effects on STEM majors’ academic performance. Journal of Counseling Psychology, 60(2), 287-293.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Low-No impactsEducation and skills gains