Women in Science, Technology, Engineering, and Mathematics (STEM): An Investigation of Their Implicit Gender Stereotypes and Stereotypes' Connectedness to Math Performance

In spite of many barriers facing women's enrollment in Science, Technology, Engineering, and Mathematics (STEM), some women are successful in these counter-stereotypic disciplines. The present research extended work primarily conducted in the United States by investigating implicit gender-STEM stereotypes—and their relation to performance—among female and male engineering and humanities students in Southern France. In study 1 (N = 55), we tested whether implicit gender-math stereotypes—as measured by the Implicit Association Test (IAT; Greenwald et al. 1998)—would be weaker among female engineering students as compared to female humanities, male engineering and male humanities students. In study 2 (N = 201), we tested whether this same results pattern would be observed with implicit gender-reasoning stereotypes (using a newly created IAT) and, in addition, whether implicit gender-reasoning stereotypes would be more strongly (and negatively) related to math grades for female humanities students as compared to the three other groups. Results showed that female engineering students held weaker implicit gender-math and gender-reasoning stereotypes than female humanities, male engineering and male humanities students. Moreover, implicit stereotyping was more negatively related to math grades for female humanities students than for the three other groups. Together, findings demonstrate that female engineering students hold weaker implicit gender-STEM stereotypes than other groups of students and, in addition, that these stereotypes are not necessarily negatively associated with math performance for all women. Discussion emphasizes how the present research helps refine previous findings and their importance for women's experience in STE

A Rebound Effect After Stereotype Threat?

Two studies investigated a potential cognitive mediator for stereotype threat, a phenomenon whereby the mere threat of confirming a negative stereotype results in a performance deficit. It was hypothesized that people attempt to suppress stereotypes in memory during threatening situations, consuming cognitive resources, but that the suppression is released after the threatening situation has ended. This results in a “rebound effect” and a subsequent increase in stereotyped thought. The experiments failed to find a significant stereotype threat effect when examined individually, but when the data from the experiments were aggregated aggregated, a performance deficit was found. However, because of the failure to find a significant performance deficit in any one experiment, the results to not directly bear on any potential rebound effect

Girls vs. boys in mathematics: Test scores provide one interpretation girls narratives suggest a different story

This study seeks to provide a data based critique of the claims of gender equity in mathematics. Specifically, this paper is an analysis of the personal well-remembered events (WREs) told and recorded by women who are in the first course of their preservice teaching professional sequence. Importantly, these are women who are on the professional track to teach mathematics. Using a narrative based methodology, the writings provide another angle of the intricate pieces of equity (i.e. test results say both genders are just as capable, stories of females say otherwise). The themes center around the safe zones, struggles, embarrassment, competition, and self-fulfilling prophecies. From these stories, we see subtle illustrations of existing gender inequities in mathematics

Stereotype Threat, Self-Affirmation, and Women\u27s Statistics Performance

Stereotype threat (fear of confirming a negative group stereotype that in turn can inhibit academic performance) has been implicated in the gender gap observed in the field of mathematics. Even though stereotype threat depresses women\u27s performance, there has been much research reporting various interventions that ameliorate its negative effects. The current study investigated stereotype threat specifically in statistics--an unexplored area in the research literature --and the alleviating effects of self-affirmation. Participants in three conditions (control, stereotype threat, stereotype threat + affirmation) completed a statistics test. In both stereotype threat conditions participants were given a verbal prime to induce stereotype threat, but only the stereotype threat + affirmation condition was given the affirmation task. The predictions that stereotype threat would depress women\u27s statistics performance and that self-affirmation would minimize stereotype threat were not supported. How a performance expectation relates to a successful stereotype threat prime was discussed as are study limitations and directions for future research

What gendered constructs about mathematics do parents have as their children begin school in Australia?

This study investigated whether parents have gendered constructs related to mathematics. Parents and their kindergarten-aged children from three primary schools in Sydney were interviewed to see what their understandings of boys’ and girls’ interests and abilities in mathematics were. Parents completed the Who and Mathematics questionnaire and were interviewed to determine if there were any gendered understandings and exactly what they were. The data shows that parents believe that boys are more likely to have an aptitude and interest in mathematics. In contrast, girls are perceived as more anxious, harder workers and in addition, that they have to work harder to do well in mathematics

Helping Our Students Reach Their Full Potential: The Insidious Consequences of Stereotype Threat

A psychological phenomenon may be a significant cause of academic underachievement by minorities in law school. This phenomenon, called stereotype threat, occurs as a result of the fear of confirming a negative group stereotype (such as African-Americans are not as intelligent as Whites). When subject to this threat — as a consequence of being confronted with environmental or explicit triggers — people do worse in academic settings than they otherwise are capable of doing. In this article, I explore the implications of the research on stereotype threat for law schools and make several recommendations to deal with the threat. There are natural implications for law school admissions, of course. If a portion of our applicant pool is affected by stereotype threat, then we cannot trust the accuracy of the metrics we typically use in law school admissions, i.e., prior academic performance and LSAT scores of law school applicants. Indeed, those credentials actually may under-evaluate the academic potential of these applicants, who are often minority students. This should cause law schools to reevaluate their admissions policies. After students are admitted, law school provides fertile ground within which stereotype threat can flourish. This, of course, means that the performance of minorities in law school — in class, on exams, and in other areas — is likely to be diminished, such that many minorities will not perform up to their academic capacity. And, obviously, we would expect this same dynamic to play out on the bar exam. Law schools can address stereotype threat at each of these levels, and they should do so. This article lays out a framework for understanding and dealing with the threat

Transforming Perception: Black Men and Boys

While there has been progress in the U.S. in terms of racial attitudes and opportunities, black men and boys continue to face challenges. This report presents original research, along with current studies in social psychology and neuroscience, offering an empirically grounded analysis of how emotions and fears about race shape behaviors and biases

Addressing the underrepresentation of women in mathematics conferences

Despite significant improvements over the last few generations, the discipline of mathematics still counts a disproportionately small number of women among its practitioners. These women are underrepresented as conference speakers, even more so than the underrepresentation of women among PhD-earners as a whole. This underrepresentation is the result of implicit biases present within all of us, which cause us (on average) to perceive and treat women and men differently and unfairly. These mutually reinforcing biases begin in primary school, remain active through university study, and continue to oppose women's careers through their effects on hiring, evaluation, awarding of prizes, and inclusion in journal editorial boards and conference organization committees. Underrepresentation of women as conference speakers is a symptom of these biases, but it also serves to perpetuate them; therefore, addressing the inequity at conferences is valuable and necessary for countering this underrepresentation. We describe in detail the biases against women in mathematics, knowing that greater awareness of them leads to a better ability to mitigate them. Finally, we make explicit suggestions for organizing conferences in ways that are equitable for female mathematicians.Comment: 26 pages. See also "An annotated bibliography of work related to gender in science" (arXiv:1412.4104

Biased against Debiasing: On the Role of (Institutionally Sponsored) Self-Transformation in the Struggle against Prejudice

Research suggests that interventions involving extensive training or counterconditioning can reduce implicit prejudice and stereotyping, and even susceptibility to stereotype threat. This research is widely cited as providing an “existence proof” that certain entrenched social attitudes are capable of change, but is summarily dismissed—by philosophers, psychologists, and activists alike—as lacking direct, practical import for the broader struggle against prejudice, discrimination, and inequality. Criticisms of these “debiasing” procedures fall into three categories: concerns about empirical efficacy, about practical feasibility, and about the failure to appreciate the underlying structural-institutional nature of discrimination. I reply to these criticisms of debiasing, and argue that a comprehensive strategy for combating prejudice and discrimination should include a central role for training our biases awa