Search for Studies
Search for Studies will search all study profiles and synthesis reports. Use Search the Site in the upper right to search for all site content such as the CLEAR review process. View Help using this Search.
Displaying 1 - 6 of 6 results
Heinrich, C., Mueser, P., Troske, K., & Benus, J. (2008). Workforce Investment Act non-experimental net impact evaluation final report. Columbia, MD: IMPAQ International, LLC.
Topic Area: Opportunities for Youth
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Earnings and wages-Mod/high-Favorable impactsEarnings and wages
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
Blake, R., Liou-Mark, J., & Chukuigwe, C. (2013). An effective model for enhancing underrepresented minority participation and success in geoscience undergraduate research. Journal of Geoscience Education, 61(4), 405-414.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
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
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
Crumpton-Young, L., Elde, A., & Ambrose, K. (2014, June). Mentoring practices proven to broaden participation in STEM disciplines. Paper presented at 2014 American Society for Engineering Education Annual Conference, Indianapolis, IN.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis