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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
Yanowitz, K. (2004). Do scientists help people? Beliefs about scientists and the influence of pro-social context on girls’ attitudes toward physics. Journal of Women and Minorities in Science and Engineering, 10(4), 393-399.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness: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
Drane, D., Micari, M., & Light, G. (2014). Students as teachers: Effectiveness of a peer-led STEM learning programme over 10 years. Educational Research & Evaluation, 20(3), 210-230.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness: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
Outcome Effectiveness:Denner, J. (2011). What predicts middle school girls’ interest in computing? International Journal of Gender, Science and Technology, 3(1), 54-69.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
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
Outcome Effectiveness:Yelamarthi, K., & Mawasha, R. (2010). A Scholarship Model for Student Recruitment and Retention in STEM Disciplines. Journal of STEM Education, 11(5 & 6), 25–32.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Melchior, A., Cohen, F., Cutter, T., & Leavitt, T. (2005). More than robots: An evaluation of the FIRST robotics competition participant and institutional impacts. Waltham, MA: Brandeis University Center for Youth and Communities Heller School for Social Policy and Management.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:Peterfreund, A., Rath, K., Xenos, S., & Bayliss, F. (2007). The impact of supplemental instruction on students in STEM courses: Results from San Francisco State University. Journal of College Student Retention: Research, Theory & Practice, 9(4), 487-503.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:
