Should I Stay or Should I Go?
Women’s Implicit Stereotypic Associations Predict Their Commitment and Fit in STEM
Abstract
Abstract. Gender stereotypes that associate science and technology to men more than women create subtle barriers to women’s advancement in these fields. But how do stereotypic associations, when internalized by women, relate to their own sense of fit and organizational commitment? Our research is the first to demonstrate that, among working engineers, women’s own gender stereotypic implicit associations predict lower organizational commitment. In a sample of 263 engineers (145 women), women (but not men) who implicitly associated engineering with men more than women were less committed to their organization. This relationship was mediated by lower self-efficacy and value fit, and not explained by other personality, demographic, or organizational factors. We discuss how internalized cultural biases can constrain women’s experiences in STEM.
References
2015). Constraints on the development of implicit intergroup attitudes. Child Development Perspectives, 9, 50–54. https://doi.org/10.1111/cdep.12105
(2002). The convergent and discriminant validity of subjective fit perceptions. Journal of Applied Psychology, 87, 875–884. https://doi.org/10.1037/0021-9010.87.5.875
(2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97, 1045–1060. https://doi.org/10.1037/a0016239
(2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143, 1–35. https://doi.org/10.1037/bul0000052
(1980). New work attitude measures of trust, organizational commitment and personal need non-fulfilment. Journal of Occupational Psychology, 53, 39–52. https://doi.org/10.1111/j.2044-8325.1980.tb00005.x
(2016). Viewpoint: How stereotypes impact women in physics. Physics, 9. https://doi.org/10.1103/Physics.9.87
(2004). Seeing is believing: Exposure to counterstereotypic women leaders and its effect on the malleability of automatic gender stereotyping. Journal of Experimental Social Psychology, 40, 642–658. https://doi.org/10.1016/j.jesp.2004.02.003
(2017). A goal congruity model of role entry, engagement, and exit: Understanding communal goal processes in STEM gender gaps. Personality and Social Psychology Review, 21(2), 142–175. https://doi.org/10.1177/1088868316642141
(1986). Perceived organizational support. Journal of Applied Psychology, 71, 500–507. https://doi.org/10.1037/0021-9010.71.3.500
(2010). Retraining attitudes and stereotypes to affect motivation and cognitive capacity under stereotype threat. Journal of Personality and Social Psychology, 99(5), 740–754. https://doi.org/10.1037/a0020971
(2017). Women’s reasons for leaving the engineering field. Frontiers in Psychology, 8, 1–11. https://doi.org/10.3389/fpsyg.2017.00875
(2016). Comparison of women engineers who persist in or depart from engineering. Journal of Vocational Behavior, 92, 79–93. https://doi.org/10.1016/j.jvb.2015.11.002
(2010). Satisfaction: Why do people give up engineering? Surveys of men and women engineers tell an unexpected story. Mechanical Engineering, 132, 38–41.
(2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37, 504–528. https://doi.org/10.1016/S0092-6566(03)00046-1
(2015). Statistically small effects of the Implicit Association Test can have societally large effects. Journal of Personality and Social Psychology, 108, 553–561. https://doi.org/10.1037/pspa0000016
(2002). A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. Psychological Review, 109, 3–25. https://doi.org/10.1037/0033-295X.109.1.3
(2015). Engineering exchanges: Daily social identity threat predicts burnout among female engineers. Social Psychological and Personality Science, 6, 528–534. https://doi.org/10.1177/1948550615572637
(2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved from http://www.afhayes.com/public/process2012.pdf
(2008). The Athena factor: Reversing the brain drain in science, engineering, and technology. Watertown, MA: Harvard Business Review. Retrieved from http://www.tharawat-magazine.com/wp-content/uploads/2015/09/documents.library.nsf.gov_edocs_HD6060-.A84-2008-PDF-Athena-factor-Reversing-the-brain-drain-in-science,-engineering,-and-technology.pdf
(2009). Interacting with sexist men triggers social identity threat among female engineers. Journal of Personality and Social Psychology, 96(6), 1089–1103. https://doi.org/10.1037/a0015703
(2015). Women’s representation in science predicts national gender-science stereotypes: Evidence from 66 nations. Journal of Educational Psychology, 107, 631–644. https://doi.org/10.1037/edu0000005
(2012). Science faculty's subtle gender biases favor male students. Proceedings of the National Academy of Sciences of the United States of America, 109, 16474–16479. https://10.1073/pnas.1211286109
(2005). Moderators of the relationship between implicit and explicit evaluation. Journal of Experimental Psychology: General, 134, 565–584. https://doi.org/10.1038/nrm2621
(2002). Math = male, me = female, therefore math not = me. Journal of Personality and Social Psychology, 83, 44–59. https://doi.org/10.1037/0022-3514.83.1.44
(2014). Understanding and using the Brief Implicit Association Test: Recommended scoring procedures. PLoS One, 9, e110938. https://doi.org/10.1371/journal.pone.0110938
(2011). Implicit social cognitions predict sex differences in math engagement and achievement. American Educational Research Journal, 48, 1125–1156. https://doi.org/10.3102/0002831211410683
(2007). Pervasiveness and correlates of implicit attitudes and stereotypes. European Review of Social Psychology, 18, 36–88. https://doi.org/10.1080/1046328070148905
(2009). National differences in gender-science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences of the United States of America, 106, 10593–10597. https://doi.org/10.1073/pnas.0809921106
(2013). Predicting ethnic and racial discrimination: A meta-analysis of IAT criterion studies. Journal of Personality and Social Psychology, 105, 171–192. https://doi.org/10.1037/a0032734
(1999). Stigma consciousness: The psychological legacy of social stereotypes. Journal of Personality and Social Psychology, 76, 114–128. https://doi.org/10.1037/0022-3514.76.1.114
(2017). State authenticity as fit to environment: The implications of social identity for fit, authenticity, and self-segregation. Personality and Social Psychology Review, Advance online publication. https://doi.org/10.1177/1088868317734080
(2002). A new occupational self-efficacy scale and its relation to personality constructs and organizational variables. European Journal of Work and Organizational Psychology, 11, 219–241. https://doi.org/10.1080/13594320244000148
(2013). Stemming the tide: Predicting women engineers’ intentions to leave. Journal of Vocational Behavior, 83, 281–294. https://doi.org/10.1016/j.jvb.2013.05.007
(1998). The self-relevant implications of the group-value model: Group membership, self-worth, and treatment Quality. Journal of Experimental Social Psychology, 34, 470–493. https://doi.org/10.1006/jesp.1998.1360
(2009). The Brief Implicit Association Test. Experimental Psychology, 56, 283–294. https://doi.org/10.1027/1618-3169.56.4.283
(2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100(2), 255–270. https://doi.org/10.1037/a0021385
(2001). Public trust and confidence in legal authorities: What do majority and minority group members want from the law and legal institutions? Behavioral Sciences & the Law, 19(2), 215–235. https://doi.org/10.1002/bsl.438
(2003). A meta-analysis of relations between person-organization fit and work attitudes. Journal of Vocational Behavior, 63(3), 473–489. https://doi.org/10.1016/S0001-8791(02)00036-2
(2015). National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences of the United States of America, 112, 5360–5365. https://doi.org/10.1073/pnas.1418878112
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