Abstract
Stereotype threat theory (STT) presents a potential explanation for differences in achievement in math and science for women. Specifically, STT postulates that the perceived risk of confirming a negative stereotype about an individual’s identity group acts as a psychological burden that negatively impacts performance. This study is the third in a series of studies examining the impact of ST on gender differences in science. The present study tested the impact of stereotype threat (ST) on gender differences in biology achievement, self-efficacy, motivation, and domain identification using a four-group, quasi-experimental design. 83 introductory-level college biology students were randomly assigned to 1 of 4 ST conditions including an explicit ST condition, an implicit ST condition, a reverse ST condition, and a nullified ST condition. Results indicated that there were no gender differences by ST condition; however, overall, the women identified more with the field.
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Aronson, J., Lustina, M. J., Good, C., Keough, K., Steele, C. M., & Brown, J. (1999). When white men can’t do math: Necessary and sufficient factors in stereotype threat. Journal of Experimental Social Psychology, 35(1), 29–46.
Ballen, C. J., Wieman, C., Salehi, S., Searle, J. B., & Zamudio, K. R. (2017). Enhancing diversity in undergraduate science: Self-efficacy drives performance gains with active learning. CBE Life Sciences Education, 16(4), ar56.
Bell, A. E., Spencer, S. J., Iserman, E., & Logel, C. E. (2003). Stereotype threat and women’s performance in engineering. Journal of Engineering Education, 92(4), 307–312.
Blickenstaff, C. J. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369–386. https://doi.org/10.1080/09540250500145072.
Brodish, A. B., & Devine, P. G. (2009). The role of performance–avoidance goals and worry in mediating the relationship between stereotype threat and performance. Journal of Experimental Social Psychology, 45(1), 180–185. https://doi.org/10.1016/j.jesp.2008.08.005.
Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, MI: Lawrence Erlbaum Associates.
Cotner S., & Ballen C. J. (2017). Can mixed assessment methods make biology classes more equitable? PLoS ONE, 12(12), e0189610. https://doi.org/10.1371/journal.pone.0189610.
Deemer, E. D., Smith, J. L., Carroll, A. N., & Carpenter, J. P. (2014). Academic procrastination in STEM: Interactive effects of stereotype threat and achievement goals. The Career Development Quarterly, 62(2), 143–155. https://doi.org/10.1002/j.2161-0045.2014.00076.x.
Desouza, J. M. S., & Czemiak, C. M. (2002). Social implications and gender differences among preschoolers: Implications for science activities. Journal of Research in Childhood Education, 16, 175–188. https://doi.org/10.1080/02568540209594983.
Enman, M., & Lupart, J. (2000). Talented female students’ resistance to science: An exploratory study of post-secondary achievement motivation, persistence, and epistemological characteristics. High Ability Studies, 11(2), 161–178. https://doi.org/10.1080/13598130020001205.
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160.
Finnigan, K. M., & Corker, K. S. (2017). Do different types of stereotype threat moderate the effect of performance-avoidance goals on female math performance? Journal of Research in Personality, 63, 36–43.
Glynn, S. M., Taasoobshirazi, G., & Brickman, P. (2009). Science motivation questionnaire: Construct validation with nonscience majors. Journal of Research in Science Teaching, 46(2), 127–146.
Good, J. J., Woodzicka, J. A., & Wingfield, L. C. (2010). The effects of gender stereotypic and counter-stereotypic textbook images on science performance. The Journal of Social Psychology, 150(2), 132–147. https://doi.org/10.1080/00224540903366552.
Greene, B. A., & DeBacker, T. K. (2004). Goal and orientations toward the future: Links to motivation. Educational Psychology Review, 16, 91–120. https://doi.org/10.1023/B:EDPR.0000026608.50611.b4.
Hill, C., Corbett, C., & St Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Washington, DC: American Association of University Women.
Johns, M., Schmader, T., & Martens, A. (2005). Knowing is half the battle teaching stereotype threat as a means of improving women’s math performance. Psychological Science, 16(3), 175–179.
Johnson, H. J., Barnard-Brak, L., Saxon, T. F., & Johnson, M. K. (2012). An experimental study of the effects of stereotype threat and stereotype lift on men and women’s performance in mathematics. The Journal of Experimental Education, 80(2), 137–149. https://doi.org/10.1080/00220973.2011.567312.
Johnson, R.A. & Wichern, D.W. (2004). Multivariate analysis. Encyclopedia of Statistical Sciences, 8.
Keller, J. (2007). Stereotype threat in classroom settings: The interactive effect of domain identification, task difficulty and stereotype threat on female students’ maths performance. British Journal of Educational Psychology, 77(2), 323–338.
Kiefer, A. K., & Sekaquaptewa, D. (2007). Implicit stereotypes and women’s math performance: How implicit gender-math stereotypes influence women’s susceptibility to stereotype threat. Journal of Experimental Social Psychology, 43(5), 825–832. https://doi.org/10.1016/j.jesp.2006.08.004.
Lauer, S., Momsen, J., Offerdahl, E., Kryjevskaia, M., Christensen, W., & Montplaisir, L. (2013). Stereotyped: Investigating gender in introductory science courses. CBE-Life Sciences Education, 12(1), 30–38.
Leander, S. (2014). More than half of biology majors are women, yet gender gaps remain in science classrooms. ScienceDaily. Retrieved December 20, 2015 from https://www.sciencedaily.com/releases/2014/09/140902171429.htm.
Marchand, G.C., & Taasoobshirazi, G. (2013). Stereotype threat and women’s performance in physics. International Journal of Science Education, 35(18), 3050–3061. https://doi.org/10.1080/09500693.2012.683461.
Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92–106.
Matson, J. (2013). Women are earning greater share of STEM degrees, but doctorates remain gender skewed. Scientific American, 308(5). Retrieved from http://www.scientificamerican.com/article/women-earning-greater-share-stem-degrees-doctorates-remain-gender-skewed/.
Mattern, N., & Schau, C. (2002). Gender differences in science attitude-achievement relationships over time among white middle-school students. Journal of Research in Science Teaching, 39(4), 324–340. https://doi.org/10.1002/tea.10024.
Miller, D. I., Eagly, A. H., & Linn, M. C. (2015). Women’s representation in science predicts national gender-science stereotypes: Evidence from 66 nations. Journal of Educational Psychology, 107(3), 631–644.
Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41), 16474–16479.
National Science Foundation (2015). Women, minorities, and persons with disabilities. National Center for Science and Engineering Statistics Directorate for Social, Behavioral and Economic Sciences Report. Retrieved December 22, 2015 from https://www.nsf.gov/statistics/2017/nsf17310/static/downloads/nsf17310-digest.pdf.
National Science Foundation, National Center for Science and Engineering Statistics (2017). Women, minorities, and persons with disabilities in science and engineering: 2017 (Special Report NSF 17–310). Arlington, VA: Author. Available at www.nsf.gov/statistics/wmpd/.
Nguyen, H. H. D., & Ryan, A. M. (2008). Does stereotype threat affect test performance of minorities and women? A meta-analysis of experimental evidence. Journal of Applied Psychology, 93(6), 1314–1134.
O’Brien, L. T., & Crandall, C. S. (2003). Stereotype threat and arousal: Effects on women’s math performance. Personality and Social Psychology Bulletin, 29(6), 782–789. https://doi.org/10.1177/0146167203252810.
Olson, S. & Riordan, D.G. (2012). Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Report to the President. Executive Office of the President.
Pintrich, P. R., Smith, D. A., García, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813.
Quinn, D. M., & Spencer, S. J. (2001). The interference of stereotype threat with women’s generation of mathematical problem-solving strategies. Journal of Social Issues, 57(1), 55–71.
Reece, J. B., Taylor, M. R., Simon, E. J., Dickey, J. L., & Hogan, K. A. (2014). Campbell biology: Concepts and connections (8th ed.). San Francisco, CA: Benjamin Cummings.
Riegle-Crumb, C., & King, B. (2010). Questioning a white male advantage in STEM: Examining disparities in college major by gender and race/ethnicity. Educational Researcher, 39(9), 656–664.
Riegle-Crumb, C., & Morton, K. (2017). Gendered expectations: Examining how peers shape female students’ intent to pursue STEM fields. Frontiers in Psychology, 8, 329–339.
Rocheleau, M. (2016). On campus, women outnumber men more than ever. Boston Globe. Retrieved December 20, 2016 from https://www.bostonglobe.com/metro/2016/03/28/look-how-women-outnumber-men-college-campuses-nationwide/YROqwfCPSlKPtSMAzpWloK/story.html.
Schmader, T. (2002). Gender identification moderates stereotype threat effects on women’s math performance. Journal of Experimental Social Psychology, 38(2), 194–201. https://doi.org/10.1006/jesp.2001.1500.
Schmader, T., Johns, M., & Forbes, C. (2008). An integrated process model of stereotype threat effects on performance. Psychological Review, 115(2), 336–356.
Shapiro, J. R. (2011). Different groups, different threats: A multi-threat approach to the experience of stereotype threats. Personality and Social Psychology Bulletin, 37(4), 464–480.
She, H. C. (2001). Different gender students’ participation in the high-and low-achieving middle school questioning-orientated biology classrooms in Taiwan. Research in Science & Technological Education, 19(2), 147–158. https://doi.org/10.1080/02635140120087696.
Shin, N. & McGee, S. (2002). The influence of inquiry-based multimedia learning environment on specific problem-solving skills among ninth grade students across gender differences. Paper presented at Association for Educational Communications and Technology, Dallas, TX.
Smith, J. L. (2004). Understanding the process of stereotype threat: A review of mediational variables and new performance goal directions. Educational Psychology Review, 16(3), 177–206. https://doi.org/10.1023/B:EDPR.0000034020.20317.89.
Smith, J. L., Brown, E. R., Thoman, D. B., & Deemer, E. D. (2015). Losing its expected communal value: How stereotype threat undermines women’s identity as research scientists. Social Psychology of Education, 18(3), 443–466.
Smith, J. L., & White, P. H. (2001). Development of the domain identification measure: A tool for investigating stereotype threat effects. Educational and Psychological Measurement, 61(6), 1040–1057.
Smith, J. L., & White, P. H. (2002). An examination of implicitly activated, explicitly activated, and nullified stereotypes on mathematical performance: It’s not just a woman’s issue. Sex Roles, 47(3–4), 179–191. https://doi.org/10.1023/A:1021051223441.
Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35(1), 4–28. https://doi.org/10.1006/jesp.1998.1373.
Steele, C. M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52(6), 613–629. https://doi.org/10.1037/0003-066X.52.6.613.
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811. https://doi.org/10.1037/0022-3514.69.5.797.
Steinberg, J. R., Okun, M. A., & Aiken, L. S. (2012). Calculus GPA and math identification as moderators of stereotype threat in highly persistent women. Basic and Applied Social Psychology, 34(6), 534–543. https://doi.org/10.1080/01973533.2012.727319.
Sunny, C. E., Taasoobshirazi, G., Clark, L., & Marchand, G. (2017). Stereotype threat and gender differences in chemistry. Instructional Science, 45(2), 157–175.
Taasoobshirazi, G., & Sinatra, G. M. (2011). A structural equation model of conceptual change in physics. Journal of Research in Science Teaching, 48(8), 901–991.
Tenenbaum, H. R., & Leaper, C. (2003). Parent–child conversations about science: The socialization of gender inequities? Developmental Psychology, 39(1), 34–47. https://doi.org/10.1037/0012-1649.39.1.34.
Wang, M. T., & Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): Current knowledge, implications for practice, policy, and future directions. Educational Psychology Review, 29(1), 119–140.
Wang, X. (2013). Modeling entrance into STEM fields of study among students beginning at community colleges and four-year institutions. Research in Higher Education, 54(6), 664–692. https://doi.org/10.1007/s11162-013-9291-x.
Wout, D., Danso, H., Jackson, J., & Spencer, S. (2008). The many faces of stereotype threat: Group- and self-threat. Journal of Experimental Social Psychology, 44(3), 792–799.
Xue, Y., & Larson, R. (2015). STEM crisis or STEM surplus? Yes and yes. Monthly Labor Review. U.S. Bureau of Labor Statistics. https://doi.org/10.21916/mlr.2015.14.
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Taasoobshirazi, G., Puckett, C. & Marchand, G. Stereotype Threat and Gender Differences in Biology. Int J of Sci and Math Educ 17, 1267–1282 (2019). https://doi.org/10.1007/s10763-018-9926-7
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DOI: https://doi.org/10.1007/s10763-018-9926-7