Across disciplines, male faculty spend more time on research than female faculty. Yet, women tend to teach and mentor students more hours than men (Misra et al. in Glob J Eng Educ 14(1):119–131, 2011). These disparities play pivotal roles in tenure and promotion decisions wherein research and leadership roles are most valued (Green in J Soc Work Educ 44(2):117–128, 2008). There is considerable evidence suggesting that implicit biases underpin some of these faculty roles differences, particularly in male-dominated disciplines, such as engineering. At the same time, there is limited evidence that, once aware of gender inequity, individuals will engage in bias correction in order to rectify prejudice. This study was designed to evaluate if implicit bias or bias correction could be detected when faculty considered the most appropriate roles for other faculty. Faculty from 50 colleges of engineering completed an activity wherein they assigned five fictitious engineering faculty characters to five assignments (one research, one leadership, and three teaching/advising roles). One version of the activity contained only male names; the other version was identical except for the change of the middle character’s name from male (Charlie) to female (Cathy). Results indicated that both men and women were significantly more likely to select Cathy for both the leadership and research positions over Charlie. Regression analysis of the Cathy Group data indicated respondents’ gender did not predict selection of Cathy to the leadership role; however, women were significantly more likely than men to select Cathy to do research.
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Alon, S., & Gelbgiser, D. (2011). The female advantage in college academic achievements and horizontal sex segregation. Social Science Research, 40(1), 107–119. https://doi.org/10.1016/j.ssresearch.2010.06.007.
Aron, D. C., Aucott, J. N., & Papp, K. K. (2000). Teaching awards and reduced departmental longevity: Kiss of death or kiss goodbye. What happens to excellent clinical teachers in a research intensive medical school? Medical Education Online, 5(1), 4313. https://doi.org/10.3402/meo.v5i.4313.
Astin, H. S., & Cress, C. M. (2003). A national profile of academic women in research universities. In L. Hornig (Ed.), Equal rites, unequal outcomes: Women in American research universities (pp. 53–88). New York: Kluwer Academic/Plenum Publishers.
Babcock, L., Recalde, M. P., Vesterlund, L., & Weingart, L. (2017). Gender differences in accepting and receiving requests for tasks with low promotability. The American Economic Review, 107(3), 714–747. https://doi.org/10.1257/aer.20141734.
Baker, M., & Cornelson, K. (2016). Gender based occupational segregation and sex differences in sensory, motor and spatial aptitudes (No. w22248). National Bureau of Economic Research. https://doi.org/10.3386/w22248.
Barone, C. (2011). Some things never change: Gender segregation in higher education across eight nations and three decades. Sociology of Education, 84(2), 157–176.
Bernardi, R. A., & Guptill, S. T. (2008). Social desirability response bias, gender, and factors influencing organizational commitment: An international study. Journal of Business Ethics, 81(4), 797–809.
Bird, S., Litt, J. S., & Wang, Y. (2004). Creating status of women reports: Institutional housekeeping as “women’s work”. NWSA Journal, 16(1), 194–206.
Blau, F. D., Brummund, P., & Liu, A. Y. H. (2013). Trends in occupational segregation by gender 1970–2009: Adjusting for the impact of changes in the occupational coding system. Demography, 50(2), 471–492.
Bradley, K., & Charles, M. (2009). Indulging our gendered selves? Sex segregation by field of study in 44 countries. American Journal of Sociology, 114(4), 924–976. https://doi.org/10.1086/595942.
Bug, A. (2010). Swimming against the unseen tide. Physics World, 23(8), 16–17.
Carnes, M., Bartels, C. M., Isaac, C., Kaatz, A., & Kolehmainen, C. (2015). Why is John more likely to become department chair than Jennifer? Transactions of the American Clinical and Climatological Association, 126, 197–214.
Carrigan, C., Quinn, K., & Riskin, E. A. (2011). The gendered division of labor among STEM faculty and the effects of critical mass. Journal of Diversity in Higher Education, 4(3), 131–146. https://doi.org/10.1037/a0021831.
Ceci, S. J., Ginther, D. K., Kahn, S., & Williams, W. M. (2014). Women in academic science: A changing landscape. Psychological Science in the Public Interest, 15(3), 75–141. https://doi.org/10.1177/1529100614541236.
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), 1–36. https://doi.org/10.1037/bul0000052.
Chien, Y. W., Wegener, D. T., Petty, R. E., & Hsiao, C. C. (2014). The flexible correction model: Bias correction guided by naïve theories of bias. Social and Personality Psychology Compass, 8(6), 275–286. https://doi.org/10.1111/spc3.12105.
Chung, J., & Monroe, G. S. (2003). Exploring social desirability bias. Journal of Business Ethics, 44(4), 291–302.
Dalton, D., & Ortegren, M. (2011). Gender differences in ethics research: The importance of controlling for the social desirability response bias. Journal of Business Ethics, 103(1), 73–93.
Ding, W. W., Murray, F., & Stuart, T. E. (2006). Gender differences in patenting in the academic life sciences. Science, 313(5787), 665–667.
Dominici, F., Fried, L. P., & Zeger, S. L. (2009). So few women leaders. Academe, 95(4), 25–27.
Duch, J., Zeng, X. H. T., Sales-Pardo, M., Radicchi, F., Otis, S., Woodruff, T. K., et al. (2012). The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact. PLoS ONE, 7(12), e51332. https://doi.org/10.1371/journal.pone.0051332.
Easterly, D. M., & Ricard, C. S. (2011). Conscious efforts to end unconscious bias: Why women leave academic research. Journal of Research Administration, 42(1), 61–73.
Fairweather, J. S. (2002). The mythologies of faculty productivity: Implications for institutional policy and decision making. The Journal of Higher Education, 73(1), 26–48. https://doi.org/10.1080/00221546.2002.11777129.
Fairweather, J. (2008). Linking evidence and promising practices in science, technology, engineering, and mathematics (STEM) undergraduate education. Washington, DC: Board of Science Education, National Research Council, The National Academies.
Fox, M. F. (2003). Gender, faculty, and doctoral education in science and engineering. In L. Hornig (Ed.), Equal rites, unequal outcomes: Women in American research universities (pp. 91–109). New York: Kluwer Academic/Plenum Publishers.
Fox, M. F. (2005). Gender, family characteristics, and publication productivity among scientists. Social Studies of Science, 35(1), 131–150. https://doi.org/10.1177/0306312705046630.
Gangone, L. M., & Lennon, T. (2014). Benchmarking women’s leadership in academia and beyond. In K. Longman & S. Madsen (Eds.), Women and leadership in higher education (pp. 3–22). Charlotte, NC: Information Age Publishing, Inc.
Glass, C., & Minnotte, K. L. (2010). Recruiting and hiring women in STEM fields. Journal of Diversity in Higher Education, 3(4), 218–229. https://doi.org/10.1037/a0020581.
Green, R. G. (2008). Tenure and promotion decisions: The relative importance of teaching, scholarship, and service. Journal of Social Work Education, 44(2), 117–128. https://doi.org/10.5175/JSWE.2008.200700003.
Gross, E. (1968). Plus ça change…? The sexual structure of occupations over time. Social Problems, 16(2), 198–208.
Handley, I. M., Brown, E. R., Moss-Racusin, C. A., & Smith, J. L. (2015). Quality of evidence revealing subtle gender biases in science is in the eye of the beholder. Proceedings of the National Academy of Sciences, 112(43), 13201–13206. https://doi.org/10.1073/pnas.1510649112.
Hannum, K. M., Muhly, S. M., Shockley-Zalabak, P. S., & White, J. S. (2015). Women leaders within higher education in the United States: Supports, barriers, and experiences of being a senior leader. Advancing Women in Leadership, 35, 65–75.
Hart, J., & Cress, C. M. (2008). Are women faculty just “worry-warts?” Accounting for gender differences in self-reported stress. Journal of Human Behavior in the Social Environment, 7(1–2), 175–193. https://doi.org/10.1080/10911350802171120.
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.
Holliday, E. B., Jagsi, R., Wilson, L. D., Choi, M., Thomas, C. R., Jr., & Fuller, C. D. (2014). Gender differences in publication productivity, academic position, career duration and funding among US academic radiation oncology faculty. Academic Medicine: Journal of the Association of American Medical Colleges, 89(5), 767–773. https://doi.org/10.1016/j.ijrobp.2012.07.1460.
Howe-Walsh, L., & Turnbull, S. (2016). Barriers to women leaders in academia: Tales from science and technology. Studies in Higher Education, 41(3), 415–428. https://doi.org/10.1080/03075079.2014.929102.
Jackson, J. (2004). The story is not in the numbers: Academic socialization and diversifying the faculty. NWSA Journal, 16(1), 172–185.
Jackson, S. M., Hillard, A. L., & Schneider, T. R. (2014). Using implicit bias training to improve attitudes toward women in STEM. Social Psychology of Education, 17(3), 419–438. https://doi.org/10.1007/s11218-014-9259-5.
Judson, E., Ross, L., Middleton, J. A., & Krause, S. J. (2017). Measuring engineering faculty views about benefits and costs of using student-centered strategies. International Journal of Engineering Pedagogy, 7(2), 65–78.
Kaatz, A., & Carnes, M. (2014). Stuck in the out-group: Jennifer can’t grow up, Jane’s invisible, and Janet’s over the hill. Journal of Women’s Health, 23(6), 481–484. https://doi.org/10.1089/jwh.2014.4766.
Kassin, S. M., & Sommers, S. R. (1997). Inadmissible testimony, instructions to disregard, and the jury: Substantive versus procedural considerations. Personality and Social Psychology Bulletin, 23, 1046–1054.
Knobloch-Westerwick, S., Glynn, C. J., & Huge, M. (2013). The Matilda effect in science communication: An experiment on gender bias in publication quality perceptions and collaboration interest. Science Communication, 35(5), 603–625. https://doi.org/10.1177/1075547012472684.
Krumpal, I. (2013). Determinants of social desirability bias in sensitive surveys: A literature review. Quality & Quantity, 47(4), 2025–2047.
Manfredi, S. (2017). Increasing gender diversity in senior roles in HE: Who is afraid of positive action? Administrative Sciences, 7(2), 1–14. https://doi.org/10.3390/admsci7020019.
Massy, W. F., & Wilger, A. K. (1995). Improving productivity: What faculty think about it—And it’s effect on quality. Change: The Magazine of Higher Learning, 27(4), 10–20.
McCullough, L. (2011). Women’s Leadership in science, technology, engineering and mathematics: Barriers to participation. Forum on Public Policy Online, 2011(2). Retrieved from http://forumonpublicpolicy.com/vol2011.no2/womensstudies2011vol2.html.
Meyers, K. L., Ohland, M. W., Pawley, A. L., Silliman, S. E., & Smith, K. A. (2012). Factors relating to engineering identity. Global Journal of Engineering Education, 14(1), 119–131.
Misra, J., Lundquist, J. H., Holmes, E., & Agiomavritis, S. (2011). The ivory ceiling of service work. Academe, 97(1) Retrieved from https://www.aaup.org/article/ivory-ceiling-service-work.
Mitchell, S. M., & Hesli, V. L. (2013). Women don’t ask? Women don’t say no? Bargaining and service in the political science profession. PS: Political Science & Politics, 46(02), 355–369. https://doi.org/10.1017/S1049096513000073.
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. https://doi.org/10.1073/pnas.1211286109.
Moss-Racusin, C. A., Molenda, A. K., & Cramer, C. R. (2015). Can evidence impact attitudes? Public reactions to evidence of gender bias in STEM fields. Psychology of Women Quarterly, 39(2), 194–209. https://doi.org/10.1177/0361684314565777.
Musu-Gillette, L., Robinson, J., McFarland, J., KewalRamani, A., Zhang, A., & Wilkinson-Flicker, S. (2016). Status and trends in the education of racial and ethnic groups 2016. NCES 2016-007. National Center for Education Statistics.
National Research Council. (2010). Gender differences at critical transitions in the careers of science, engineering, and mathematics faculty. Washington, DC: National Academies Press.
Nosek, B. A., Smyth, F. L., Hansen, J. J., Devos, T., Lindner, N. M., Ranganath, K. A., … & Banaji, M. R. (2007). Pervasiveness and correlates of implicit attitudes and stereotypes. European Review of Social Psychology, 18(1), 36–88. https://doi.org/10.1080/10463280701489053.
Petty, R. E., Wegener, D. T., & White, P. H. (1998). Flexible correction processes in social judgment: Implications for persuasion. Social Cognition, 16(1), 93–113.
Powell, A., Dainty, A., & Bagilhole, B. (2012). Gender stereotypes among women engineering and technology students in the UK: lessons from career choice narratives. European Journal of Engineering Education, 37(6), 541–556. https://doi.org/10.1080/03043797.2012.724052.
Rose, G. L. (2005). Group differences in graduate students’ concepts of the ideal mentor. Research in Higher Education, 46(1), 53–80. https://doi.org/10.1007/s11162-004-6289-4.
Ross, L., & Judson, E. (2018). Gender-based differences in faculty members’ view and use of student-centered learning strategies. International Journal of Gender, Science and Technology, 9(3), 205–220. Retrieved from http://genderandset.open.ac.uk/index.php/genderandset/article/viewFile/513/871.
Russell, C. (2009). A systemic framework for managing e-learning adoption in campus universities: Individual strategies in context. ALT-J, 17(1), 3–19. https://doi.org/10.3402/rlt.v17i1.10771.
Sheltzer, J. M., & Smith, J. C. (2014). Elite male faculty in the life sciences employ fewer women. Proceedings of the National Academy of Sciences, 111(28), 10107–10112. https://doi.org/10.1073/pnas.1403334111.
Shepherd, S. (2017). Why are there so few female leaders in higher education: A case of structure or agency? Management in Education, 31(2), 82–87. https://doi.org/10.1177/0892020617696631.
Singh, V., & Vinnicombe, S. (2000). Gendered meanings of commitment from high technology engineering managers in the United Kingdom and Sweden. Gender, Work & Organization, 7(1), 1–19. https://doi.org/10.1111/1468-0432.00089.
Smith, W. (2008). Does gender influence online survey participation? A record-linkage analysis of university faculty online survey Response behavior (Research Report). San Jose, CA: San Jose State University. Retrieved from https://files.eric.ed.gov/fulltext/ED501717.pdf.
Steinpreis, R. E., Anders, K. A., & Ritzke, D. (1999). The impact of gender on the review of the curricula vitae of job applicants and tenure candidates: A national empirical study. Sex Roles, 41(7), 509–528. https://doi.org/10.1023/A:1018839203698.
Thompson, L. D., Barker, L. J., Manco Powell, R., Brawner, C. E., & McKlin, T. (2012). Initiatives to support systemic change for women in undergraduate computing. In Proceedings of the 43rd ACM technical symposium on computer science education (pp. 163–164). ACM.
Trix, F., & Psenka, C. (2003). Exploring the color of glass: Letters of recommendation for female and male medical faculty. Discourse & Society, 14(2), 191–220.
Van Anders, S. M. (2015). Beyond sexual orientation: Integrating gender/sex and diverse sexualities via sexual configurations theory. Archives of Sexual Behavior, 44(5), 1177–1213.
Williams, W. M., & Ceci, S. J. (2015). National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences, 112(17), 5360–5365. https://doi.org/10.1073/pnas.1418878112.
Wilson, R. (2012). Why are associate professors so unhappy?. Chronicle of Higher Education. Retrieved from http://chronicle.com/article/Why-Are-Associate-Professors/132071/.
Xie, Y., Shauman, K. A., & Shauman, K. A. (2003). Women in science: Career processes and outcomes (Vol. 26, No. 73.4). Cambridge, MA: Harvard University Press.
Yoder, B. L. (2016). Engineering by the Numbers. In American Society for Engineering Education. Retrieved from https://www.asee.org/papers-and-publications/publications/college-profiles/15EngineeringbytheNumbersPart1.pdf.
Funding was provided by Division of Undergraduate Education (Grant No. 1524527).
Assignment of Research, Teaching, Advising and Leadership Activity (ARTALA)
[Cathy Version, does not include background questions]
Pretend you are Associate Dean in the Engineering & Computer Science College at State Research University (SRU). The Engineering College has 14,000 undergraduate students and 4,000 graduate students. Mechanical & Manufacturing Engineering is the largest department in the college. There are several tasks and opportunities that need to be recommended to members of the Mechanical & Manufacturing Engineering Department. Below are 5 faculty members who have room in their schedules. You are to make recommendations for the upcoming academic year. You must make recommendations based on the limited information below. Assume research interests of all people are similar.
|Adam—is an Assistant Professor in his 2nd year. His dissertation, focused on computer-integrated processes and manufacturing methods, received an award from the Society of Manufacturing Engineers (SME). He enjoys teaching his undergraduate engineering courses where he tries to limit lecturing and get students involved. Adam continues to develop his research agenda and his time has been fairly well protected and not taxed with many extra duties|
|Bob—is an Assistant Professor who submitted his tenure package 2 months ago and is waiting to hear back. He has a strong publication record focused on automation in the manufacturing process, and he co-authors with colleagues at other universities. He helped develop the Engineering Sciences minor for non-engineering students, focusing on the societal role of engineering|
|Cathy—has been an Associate Professor for 3 years. She is well liked by students and her student evaluations are above departmental average. She has an active research lab and is PI of a 5-year NSF research grant (now in year 3). In addition to a PhD, she also holds an MS in human systems engineering. She additionally worked at Ford on manufacturing process planning for 6 years|
|David—has been an Associate Professor for 6 years. His classes are known for being interactive and he received a college teaching award 2 years ago. Before coming to the university he worked in the Advanced Manufacturing Office of the U.S. Department of Energy where he was involved with research related to next generation electric machines. He has also managed teams of engineers working on advanced manufacturing projects|
|Eric—is a full Professor with ties to local manufacturing industry. He has often helped seniors and graduate students secure internships and entry-level jobs. Recently he has helped develop a Research Experiences for Undergraduates (REU) project within the college. He has a consistent record of research that has led to publications, grants, and related patents. Eric plans to retire in 5 years|
For each of the individuals above, indicate below ONE responsibility you recommend for them. Each person must be recommended to only one of the following responsibilities. Place the person’s first initial (A–E) next to your recommendations.
____ Advise incoming graduate students to help them find an advisor in their research area.
____Act as Department Co-Chair for the upcoming academic year with a full professor. The Department Chair will be on sabbatical.
____Be the faculty sponsor for the student chapter of the Society of Manufacturing Engineers (SME).
____Work with professors from the Materials Science Department on an NSF research project focusing on materials processing and manufacturing research [a topic of interest to all 5 of these faculty members]
____Work with two other faculty members to develop a new Intro to Engineering course for freshmen. Course to focus on interdisciplinary nature of engineering and emphasize ethics and societal values.
Below, please let us know your reasons for selecting the tasks you selected for each person.
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Judson, E., Ross, L. & Glassmeyer, K. How Research, Teaching, and Leadership Roles are Recommended to Male and Female Engineering Faculty Differently. Res High Educ 60, 1025–1047 (2019). https://doi.org/10.1007/s11162-018-09542-8
- Bias correction
- Implicit bias
- Gender equity
- Higher education