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 11 - 20 of 35 results
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
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
Outcome Effectiveness:- Attitudes-Low-No impactsAttitudes
- Education and skills gains-Low-Favorable impactsEducation and skills gains
Campbell, B., Robb, S., Abbott, S., & Mutunga, S. (2014). Impact of a 5-week collegiate-level residential STEM summer program on secondary school students (Research to practice). Proceedings of the 2014 American Society for Engineering Education Annual Conference & Exposition. Washington, DC: American Society for Engineering Education.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Attitudes-Low-Favorable impactsAttitudes
Ampaw, F., & Jaeger, A. (2011). Understanding the factors affecting degree completion of doctoral women in the science and engineering fields. New Directions for Institutional Research, 152, 59-73.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
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
- Anderson, D. M., Broton, K. M., Goldrick‐Rab, S., & Kelchen, R. (2020). Experimental evidence on the impacts of need‐based financial aid: Longitudinal assessment of the Wisconsin Scholars Grant. Journal of Policy Analysis and Management, 39(3), 720-739. https://doi.org/10.1002/pam.22190 [Four-Year University Students Sample]
Study Type: Causal Impact Analysis
Outcome Effectiveness:- Education and skills gains-Mod/high-Mixed impactsEducation and skills gains
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
Hirsch, L., Berliner-Heyman, S., Cano, R., Kimmel, H., & Carpinelli, J. (2011). Middle school girls’ perceptions of engineers before and after a female only summer enrichment program. Paper presented at the 2011 IEEE Frontiers in Education Conference.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Khan, S. (2005). Teaching strategies designed to change the undergraduate experience for college women learning chemistry. Journal of Women and Minorities in Science and Engineering 11, 365-387.
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
Heaverlo, C. (2011). STEM development: A study of 6th-12th grade girls’ interest and confidence in mathematics and science (Doctoral dissertation, Iowa State University). Retrieved from http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1035&context=etd
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis