[1]
|
Ames, C., & Archer, J. (1988). Achievement goals in the classroom: Student’s learning strategies and motivation processes. Journal of Educational Psychology, 80, 260-267.
http://dx.doi.org/10.1037/0022-0663.80.3.260
|
[2]
|
Anita Borg Institute for Women and Technology (2012). Solutions to recruit technical women.
http://anitaborg.org/files/Anita-Borg-Inst-Solutions-To-Recruit-Technical-Women1.pdf
|
[3]
|
Beilock, S. L., Rydell, R. J., & McConnell, A. R. (2007). Stereotype threat and working memory: Mechanisms, alleviation, and spillover. Journal of Experimental Psychology General, 136, 256-276.
http://dx.doi.org/10.1037/0096-3445.136.2.256
|
[4]
|
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender difference in mathematics: A meta-analysis. American Psychological Association, 136, 103-127.
|
[5]
|
Ferrinman, K., Lubinski, D., & Benbow, C. (2009). Work preferences, life values, and personal views of top math/science graduate students and the profoundly gifted: Developmental changes and gender differences during emerging adulthood and parenthood. Journal of Personality and Social Psychology, 97, 517-532.
http://dx.doi.org/10.1037/a0016030
|
[6]
|
Goldin, C. (2004). Gender gap: The concise encyclopedia of economics.
http://www.econlib.org/library/Enc1/GenderGap.html
|
[7]
|
Guelich, J. M., Singer, B. H., Castro, M. C., & Rosenberg, L. E. (2002). A gender gap in the next generation of physician-scientists: Medical student interest and participation in research. Journal of Investigative Medicine, 50, 412-418. http://dx.doi.org/10.2310/6650.2002.32475
|
[8]
|
Martens, A., Johns, M., Greenberg, J., & Schimel, J. (2006). Combating stereotype threat: The effect of self-affirmation on women’s intellectual performance. Journal of Experimental Social Psychology, 46, 236-243. http://dx.doi.org/10.1016/j.jesp.2005.04.010
|
[9]
|
Miyake, A., Kost-Smith, L. E., Finkelstein, N. D., Pollock, S. J., Cohen, G. L., & Ito, T. A. (2010). Reducing the gender achievement gap in college science: A classroom study of values affirmation. Science, 2330, 1234-1237. http://dx.doi.org/10.1126/science.1195996
|
[10]
|
Mullis, I., & Jenkins, L. (1988). The science report card (Report No. 17-S-01). Princeton, NJ: Educational Testing Service.
|
[11]
|
Pajares, F. (2005). Gender differences in mathematics self-efficacy beliefs. In A. M. Gallagher, & J. C. Kaufman (eds.), Gender differences in mathematics: An integrative psychological approach. Boston, MA: Cambridge University Press.
|
[12]
|
Schiebinger, L. L. (2001). Has feminism changed science? Cambridge, MA: Harvard University Press.
|
[13]
|
Shea, P., Pickett, A., & Pelz, W. (2003). A follow-up investigation of “teaching presence” in the SUNY Learning Network. Journal of Asynchronous Learning Networks, 7, 61-80.
|
[14]
|
Shepardson, D. P., & Pizzini, E. L. (1992). Gender bias in female elementary teachers’ perceptions of the scientific ability of students. Science Education, 76, 147-153.
http://dx.doi.org/10.1002/sce.3730760204
|
[15]
|
Sonnert, G. (2009). Parents who influence their children to become scientists: Effects of gender and parental education. Social Studies of Science, 39, 927-941. http://dx.doi.org/10.1177/0306312709335843
|
[16]
|
Spencer, S. J, Steele, C. M., & Quinn, J. (1999).Stereotype threat and women’s math performance. Journal of Experimental and Social Psychology, 35, 4-28. http://dx.doi.org/10.1006/jesp.1998.1373
|
[17]
|
US Bureau of Labor Statistics (2010). BLS information.
http://www.bls.gov/bls/blswage.htm
|
[18]
|
US Department of Labor (2011). Women in the labor force: A databook.
http://www.bls.gov/cps/wlf-databook2010.htm
|