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Displaying 81 - 90 of 98 results
Griffith, A. (2010). Persistence of women and minorities in STEM field majors: Is it the school that matters? Economics of Education Review, 29, 911-922.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Inkelas, K. (2011). Living-learning programs for women in STEM. New Directions for Institutional Research 152, 27-37.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Descriptive Analysis
Szelényi, K., & Inkelas, K. (2011). The role of living–learning programs in women’s plans to attend graduate school in STEM fields. Research in Higher Education, 52(4), 349-369.
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness: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: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:Rivera, M., Davis, M., Feldman, A., & Rachkowski, C. (2013). An outcome evaluation of an adult education and postsecondary alignment program: The Accelerate New Mexico experience. Problems and Perspectives in Management, 11(4), 105-120.
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: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:Wang, M., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 1-37
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 2]
Topic Area: Women in Science, Technology, Engineering, & Math (STEM)
Study Type: Causal Impact Analysis
Outcome Effectiveness:
