On the gender-science stereotypes held by scientists: explicit accord with gender-ratios, implicit accord with scientific identity

The perceived role fit of women and men academics: evidence from the social sports sciences

Introduction

The underrepresentation of women in academia is often explained by the presence of gender stereotypes and the perception that women fit the role of an academic to a lesser extent. Based on social role theory and role congruity theory, this study investigates and estimates the perceived role fit of women and men academics in the social sports sciences.

Methods

Data were collected with a quantitative online survey. The sample (n = 792) includes individuals who study or work in sports economics, sport management, or sport sociology (referred to as social sports sciences). The questionnaire included items that reflect attributes of an ideal-typical academic as well as women and men academics in four dimensions, i.e., leadership, research methods, media visibility, and research topics. In the first step, these items were used to estimate a total role fit index for both women and men academics, as well as indices for all dimensions. In a second step, regression analyses were used to examine how respondents' individual characteristics (e.g., discipline, career stage, gender, presence of role models) are related to their perceived role fit indices and the differences in the perceived role fit.

Results and discussion

The role fit index ranges from 0 to 1, and women have a higher total role fit than men (0.77 vs. 0.75). The results suggest that women in the social sports sciences are perceived as a better fit for the role of an academic. In contrast to role congruity theory, women's leadership fit is higher than men's fit in this dimension (0.79 vs. 0.72). Regarding the associations of individual characteristics, professors seem to perceive a lower role fit for both genders than students. Furthermore, the difference between the perceived role fit of men and women is smaller for women respondents. Having a woman role model leads to a higher fit of women academics in the leadership dimension.

Are gender-science stereotypes barriers for women in science, technology, engineering, and mathematics? Exploring when, how, and to whom in an experimentally-controlled setting

Based on Social Cognitive Career Theory principles, the present study sought to investigate whether stereotype threat experiences could act as a barrier and reduce the persistence of women in math-intensive activities. More specifically, we assessed whether the experimental activation of stereotypes about women's lower math capabilities affected the performance, persistence, and self-selected difficulty of engineering students in a math task which required sustained effort. We also evaluated the relationships between these effects and the participants' pre-testing gender-science stereotypes and math self-concept. A sample of 340 engineering students (175 and 165 self-identified as males and females, respectively) were recruited and randomly assigned to a control (Con) or stereotype threat (StA) condition to form four similarly sized groups. All participants rated their self-concept in four academic domains (math, chemistry, physics, and coding), completed the gender-science Implicit Association Test, and a "reading comprehension task" that served to promote the stereotype threat manipulation immediately before facing a modified version of the Math Effort Task (M-MET). We observed that, in the control condition, M-MET performance, self-selected difficulty, and persistence were similar in female and male participants, independent of their gender-science implicit stereotypes but correlated to their math self-concept scores. In contrast, the StA condition triggered opposite effects in female and male students, so they showed decreased/enhanced M-MET performance and self-selected difficulty, respectively. This experimental condition also resulted in enhanced persistence of the male students without affecting the number of trials completed by female students. These effects were correlated with the strength of the participants' gender-science implicit stereotypes but not with their math self-concept scores. In fact, as revealed by finer-grain analyses, stereotype threat only had a significant impact on individuals harboring stereotypical gender-science implicit associations. Therefore, it is concluded that: (1) stereotypes can promote differences between male and female engineering students in their performance, self-confidence, and persistence in math-related activities; (2) These effects seem to be more prominent in individuals implicitly perceiving science as a masculine domain. The relevance of these findings to explain women's enhanced abandonment rates of math-intensive studies is discussed.

Gender prediction based on University students' complex thinking competency: An analysis from machine learning approaches

This article aims to study machine learning models to determine their performance in classifying students by gender based on their perception of complex thinking competency. Data were collected from a convenience sample of 605 students from a private university in Mexico with the eComplexity instrument. In this study, we consider the following data analyses: 1) predict students' gender based on their perception of complex thinking competency and sub-competencies from a 25 items questionnaire, 2) analyze models' performance during training and testing stages, and 3) study the models' prediction bias through a confusion matrix analysis. Our results confirm the hypothesis that the four machine learning models (Random Forest, Support Vector Machines, Multi-layer Perception, and One-Dimensional Convolutional Neural Network) can find sufficient differences in the eComplexity data to classify correctly up to 96.94% and 82.14% of the students' gender in the training and testing stage, respectively. The confusion matrix analysis revealed partiality in gender prediction among all machine learning models, even though we have applied an oversampling method to reduce the imbalance dataset. It showed that the most frequent error was to predict Male students as Female class. This paper provides empirical support for analyzing perception data through machine learning models in survey research. This work proposed a novel educational practice based on developing complex thinking competency and machine learning models to facilitate educational itineraries adapted to the training needs of each group to reduce social gaps existing due to gender.

Investigation on Gender Differences in Leadership of Stroke-Related Clinical Trials

BACKGROUND

Gender disparities among principal investigators of clinical trials (CT) can have implications regarding the areas of investigation, methods, conduct, trial enrollment, and interpretation of results. An estimation of the gender gap in the leadership of stroke-related CTs from North America has to date not been undertaken.

METHODS

We extracted information about stroke-related CTs between 2011 and 2020 from www.

CLINICALTRIALS

gov and PubMed. We examined the gender distribution according to the academic credentials and the trial type. The gender of PIs and authors was determined using gender package in R, which identifies gender using historical data from the United States. Additionally, we obtained information from Association of American Medical Colleges and the Accreditation Council for Graduate Medical Education data resource books on the gender composition of full-time neurology faculty, neurology residents and vascular neurology fellows.

RESULTS

In these analyses of 821 CTs registered on Clinicaltrials.gov and 110 trials published on PubMed, we found that gender disparity among the PIs, first and last authors have persisted over the last decade without any significant trend toward parity (P>0.05). On examining the gender distribution according to academic credentials and trial type, we found that men were over-represented in the sub-group of PIs with an MD degree (78.11% versus 21.87%; P<0.01) and those leading acute stroke trials (86.04% versus 13.89%; P<0.01). We also found that a lower proportion of women neurology residents pursued a vascular neurology fellowship during this period (33.5% versus 42.5%; P<0.05).

CONCLUSIONS

Our results show that the favorable trend toward gender parity seen in Neurology faculty over the last decade has not translated to the same in the leadership of CTs. Our findings merit further investigation and a re-examination of efforts toward inclusion of women as leaders of stroke-related CTs.

Undergraduates’ pSTEM identity and motivation in relation to gender- and race-based perceived representation, stereotyped beliefs, and implicit associations

Women and underrepresented minoritized (URM) persons remain marginalized in physical science, technology, engineering, and math (pSTEM). Relative to non-URM men, URM women may experience a double disadvantage based on their gender and race whereby they observe few same-gender and few same-race role models in pSTEM while additionally internalizing stereotypes linking pSTEM with non-URM men. Our hypothesized model was partly supported in a sample of undergraduates ( N = 1,068; 68% women, 44% URM). First, perceiving same-gender or same-race pSTEM role models predicted lower explicit stereotypes among women and URM individuals regarding gender and race, respectively. Second, explicit and implicit associations linking pSTEM with men and White/Asian persons predicted (a) lower pSTEM identity among women and URM students and (b) higher identity among men and non-URM students. Finally, both implicit and explicit pSTEM identity positively predicted expectancy–value beliefs.

Asian Men and Black Women Hold Weaker Race–Gender Associations: Evidence From the United States and China

Prior work finds a consistent association between race and gender: People associate Asian with female and Black with male. We used mouse-tracking to examine whether different U.S. racial/ethnic groups hold this same association (Study 1) and compared Asian-American participants to ethnically Chinese participants in China (Study 2). In Study 1, White and Hispanic participants showed the expected “race is gendered” effect, and the strength of the effect did not differ between men and women. However, participants with a counter-stereotypical racial-gender identity (Black women and Asian men) showed weaker race–gender associations. The same pattern emerged for East Asian participants in Study 2, both among people living in the United States and China. These data provide the first evidence of moderation in Asian-female, Black-male associations and further reveal the importance of considering intersectional identities in social cognition and social perception.

Can a Scientist Be a Young, Attractive Woman? The Stereotype of a Scientist and the Lexical Choices of Women and Men

The question of the conformance of a researcher's features to the stereotype of a scientist is rarely addressed in the context of scientific research. We decided to examine its significance in two experiments involving women and men in which the persons conducting the experiment had features respectively conforming and not conforming to the stereotype of a scientist. Both experiments were carried out on an interactive model and the dependent variables were length of utterance and lexical choices. We chose to use linguistic material because, as classical research shows, it is particularly susceptible to the influence of social context and features of the interlocutor. To operationalise the dependent variable, we used Ertel's Speech Style Quotients. The results of both experiments were found to be significant for context comparisons but non-significant for gender, which confirms the importance of features of the interlocutor in determining utterance length and lexical choices.

Space-Focused Stereotypes About People Living With HIV/AIDS and the Effects on Community-Approaching Willingness

Targeting people living with Human Immunodeficiency Virus (HIV), this research examined the prevalence of space-focused stereotypes and their underlying mechanism on behavioral inclinations. Study 1 adopted the explicit nomination and implicit Go/No-Go association tests to explore the existence of space-focused stereotypes of people living with HIV/AIDS. The results demonstrated that space-focused stereotypes were only manifested explicitly with characteristics such as messy, dirty, and gloomy. Study 2 demonstrated a more negative evaluation and community-approaching willingness for communities that include people living with HIV/AIDS than those without HIV/AIDS. Additionally, space-focused stereotypes were found to have an indirect influence on community-approaching willingness; the influence was mediated by both emotional (threat perception) and cognitive factors (community evaluation). These results indicate the deviation of explicit and implicit space-focused stereotypes. More importantly, it revealed that space-focused stereotypes decreased community evaluation and influenced behavioral inclination. This research suggested the existence of space-focused stereotypes on another stigmatized social group. Characteristics of space (e.g., geographical segregation) might be the key to forming space-focused stereotypes.

Equal Representation Does Not Mean Equal Opportunity: Women Academics Perceive a Thicker Glass Ceiling in Social and Behavioral Fields Than in the Natural Sciences and Economics

In the study of women in academia, the focus is often particularly on women’s stark underrepresentation in the math-intensive fields of natural sciences, technology, and economics (NTE). In the non-math-intensive of fields life, social and behavioral (LSB) sciences, gender issues are seemingly less at stake because, on average, women are well-represented. However, in the current study, we demonstrate that equal gender representation in LSB disciplines does not guarantee women’s equal opportunity to advance to full professorship—to the contrary. With a cross-sectional survey among N = 2,109 academics at mid-level careers (i.e., assistant and associate professors) in the Netherlands, we test the hypothesis that in LSB (more than NTE), female academics perceive to hit a “thicker” glass ceiling—that is, they see a sharper contrast between the high representation of women at the lower compared to the top levels. We test whether this predicts female academics’ lower estimated chances to reach full professorship relative to men in LSB (but not NTE). We introduce a novel perceived glass ceiling index (GCI), calculated based on academics’ perceptions of the share of women and men in their direct work environment minus their perceptions of gender ratio among full professors in their field. Results confirm that the perceived glass ceiling is thicker in the non-math-intensive LSB compared to math-intensive NTE fields. Furthermore, only in LSB (but not NTE), women perceived a thicker glass ceiling than men. Moreover, only among female academics, the thicker the perceived glass ceiling, the lower their estimated chances to become full professor 1 day. Combined, a moderated mediation showed that for women only, a thicker perceived glass ceiling in LSB compared to NTE disciplines predicted their lower estimated chances to advance to full professor level. No such mediation occurred for men. We conclude that women’s higher numerical representation in LSB disciplines does not negate a male-dominant normative standard about academic leadership and success. Paradoxically, the perceived odds for female academics to reach the top of their field are lower in fields where they are relatively highly represented, and this may pose unique barriers to women’s perceived opportunities for career success.

Persisting in Physics and the Physics Olympiad — Impact of Gender Identification and Sense of Belonging on Expectancy-Value Outcomes

The German Physics Olympiad is an extracurricular science contest for students. Here, they have the opportunity to compete against other talented students, can do physics outside of school, and take a first step to more engagement in the domain. Yet, female students participate in the competition in fewer numbers and are disproportionally more likely to drop out of the contest earlier than the male students.

The present study hence explored the question to which extent the German Physics Olympiad provides a threatening environment for female contestants’ intentions of persisting in physics. A total of 298 participants (28% female) were surveyed with respect to stereotype and social identity threat, as well as gender identification and sense of belonging as predictors of success expectations for and value of choosing to study physics. Success expectations and value of choosing to study physics were used as a measure for career intentions within the expectancy-value model.

The results support the conclusion that the contest presents an equally supporting environment for female and male participants. We found no gender differences in success expectations for and value of studying physics. Sense of belonging and gender identification significantly predicted success expectations but not value of choosing to study physics. Female participants in the German Physics Olympiad were also neither affected by stereotype threat nor by social identity threat in their sense of belonging or gender identification.

Professors Prioritize Increasing Female Retention in Academic Physics Over Advisee's Interests

Decades of initiatives have striven to fix the so-called "leaking pipeline" problem-persistent high attrition of women from the career/educational path toward STEM professorship. Though these initiatives call on academics to increase female retention along this path, it remains unknown whether academics actually prioritize this goal. To investigate this, we tested whether academics would prioritize female retention at the cost of a competing goal when giving career advice to students at risk of leaving the "pipeline." We present results from a national survey in which United States professors (n = 364) responded to vignettes of three hypothetical undergraduates, rating the extent to which they would encourage or discourage each student from pursuing a PhD in physics. Professors were randomly assigned vignettes with either male or female gender pronouns. Two vignettes featured students who cogently explained why remaining in the physics pipeline would not match their individual goals and interests, while another vignette presented a student with goals and interests that clearly matched pursuing physics graduate school. Professors who received female-gendered vignettes were thus forced to choose between prioritizing striving to increase female retention in physics and acting in the best interest of the individual student. We present evidence that professors seem prepared to encourage women more strongly than men to remain in physics, even when remaining is contrary to the stated goals and interests of the student: Our logistic regression results suggest that professors have higher odds of encouraging women over men, net of vignette and other controls. We also find that male professors have higher odds of encouraging undergraduates and find no evidence that, relative to non-STEM professors, STEM professors have higher odds of encouraging women over men.

Affirmative Action Policies in Academic Job Advertisements: Do They Facilitate or Hinder Gender Discrimination in Hiring Processes for Professorships?

Evidence of female-favoring hiring preferences for assistant professorships suggests that universities can implement affirmative action programs successfully. However, research on the role of applicant gender and the actual use of affirmative action policies in hiring processes for high-level professorships remain scarce. A web-based experiment with 481 economic university members assessed whether evaluators perceived a female applicant as less qualified than a male applicant for an associate professorship position when the job advertisement highlighted the university’s commitment to affirmative action (gender-based preferential selection) but not when it solely highlighted its commitment to excellence (non-gender-based selection). Contrary to previous experimental findings that affirmative action would adversely affect female applicants, evaluators perceived the female applicant as more hirable and ranked her first for the job significantly more often than the male candidate. Furthermore, male evaluators had a stronger preference for the female candidate in the gender-based condition than in the non-gender-based condition and a stronger preference for the male candidate in the non-gender-based condition than in the gender-based condition. Overall, the results provide evidence that gender-based preferential selection policies can evoke their intended effect to bring highly qualified women to high-level professorships, especially when being evaluated by non-beneficiaries of these policies, such as men.

Examining adolescent daughters' and their parents' academic-gender stereotypes: Predicting academic attitudes, ability, and STEM intentions

INTRODUCTION

Women continue to be underrepresented in Science, Technology, Engineering, and Mathematics (STEM) and research suggests that academic-gender stereotypes can be a contributing factor. In the present research, we examined whether adolescent daughters' and their parents' gender stereotypes about math and liberal arts would predict the academic orientation of daughters at a critical time of career related decision-making.

METHODS

Participants included girls in late adolescence (N = 185, M_{age =} 17) and at least one parent (N = 230, M_{age =} 49), resulting in 147 mother-daughter dyads and 83 father-daughter dyads. Implicit academic-gender stereotypes were measured using an Implicit Association Test (IAT) and explicit stereotypes, academic attitudes, academic ability, and daughters' intentions to pursue a degree in STEM were measured using self-reports.

RESULTS

Neither mothers' nor fathers' implicit or explicit academic-gender stereotypes predicted adolescent daughters' implicit stereotypes; however, fathers' explicit stereotypes predicted daughters' explicit stereotypes. In addition, daughters' academic orientation, a latent variable composed of adolescent girls' academic attitudes, academic ability, and intentions to pursue a degree in STEM, was predicted by daughters' own implicit and explicit stereotypes. This was the case for relative orientation toward math versus liberal arts, as well as math (but not liberal arts) orientation.

CONCLUSIONS

These findings suggest the importance of challenging academic-gender stereotypes during adolescence and suggest that at this stage in development, mothers' and fathers' academic stereotypes might have limited relation to daughters' own implicit associations with academic domains.

The role of gender in peer-group perceptions of climate scientists' media statements

This research explores whether environmental scientists perceive their male and female peers differently when making statements in the media including policy advocacy. Environmental scientists in the United Kingdom were provided with a media statement by a fictitious scientist containing a mixture of scientific information and advocacy, and asked to rate the statement against various attributes. Attributes were designed to represent stereotypes associated with male and female tendencies, and with science (impartial objectivity) and the media (dramatic narrative). The statements were randomly assigned to one of two male and two female scientists. Where the statements were attributed to a female scientist, male environmental scientists rated the fictitious scientist as significantly more 'dramatic' and 'biased' than their female counterparts did. These gendered attributes are typically held as contrary to the norms of science, suggesting an implicit bias among male scientists when reviewing their female peers' media statements.

Gender bias in academia: A lifetime problem that needs solutions

Despite increased awareness of the lack of gender equity in academia and a growing number of initiatives to address issues of diversity, change is slow, and inequalities remain. A major source of inequity is gender bias, which has a substantial negative impact on the careers, work-life balance, and mental health of underrepresented groups in science. Here, we argue that gender bias is not a single problem but manifests as a collection of distinct issues that impact researchers' lives. We disentangle these facets and propose concrete solutions that can be adopted by individuals, academic institutions, and society.

Dopaminergic and neurotrophic genetic polymorphisms modulate the implicit gender-science stereotype

Genetic approaches to both the gender-science stereotype and implicit social cognition have received increasing attention in recent years. We explored whether single nucleotide polymorphisms (SNPs) in dopaminergic and neurotrophic systems (i.e., COMT, BDNF genotypes) explain variations in the implicit gender-science stereotype. We genotyped 413 adolescents and assessed their implicit gender-science stereotype with the Implicit Association Test. Replication on a subsample (N = 312) was conducted 2 years later. Results showed that SNP-level variations within the COMT and BDNF genes were consistently associated with the implicit gender-science stereotype in both investigations. These findings suggest that variants in the COMT and BDNF genes may contribute to the variation of implicit gender-science stereotype.

Enfacing a female reduces the gender-science stereotype in males

The enfacement illusion refers to the illusory perception that features of another face that moves in synchrony with one's own facial movements become part of one's own body. Here, we tested whether males whose facial movements are synchronized with a virtual female face exhibit a less pronounced implicit gender-science stereotype than males whose movements are not synchronized. Results show that illusory ownership and agency of the face with opposite gender was successfully induced, and that synchrony significantly reduced the implicit gender-science stereotype as compared with nonsynchrony. Our findings are in line with previous demonstrations about being synchronized with other individuals facilitates feature migration-that is, the integration of their features into one's self-representation.

Sense of Belonging as an Important Factor in the Pursuit of Physics: Does It Also Matter for Female Participants of the German Physics Olympiad?

This paper focuses on stereotype threat and its effects on sense of belonging in the German Physics Olympiad science competition. Participants completed questionnaires about sense of belonging, stereotype endorsement, interest, and self-concept in physics, as well as about value and success expectations of studying physics in college. Female participants who endorsed negative stereotypes about female talent for physics felt less sense of belonging to physics. This effect did not manifest for male participants. Sense of belonging to physics significantly predicted value and success expectations for studying physics in college beyond what is predicted by interest and self-concept in physics. These findings suggest that sense of belonging is influenced by stereotype threat, which was shown to cause gender differences in science. Nevertheless, sense of belonging could be included into the expectancy-value theory based on its predictive impact on value and success expectations of studying physics.

Examining the effectiveness of brief interventions to strengthen a positive implicit relation between women and STEM across two timepoints

The current study assessed the impact of three brief interventions aimed at influencing implicit gender bias in Science, Technology, Engineering and Math (STEM) fields. The reduction of this bias is a key consideration as it remains a major barrier to gender equality in STEM. The interventions (psychoeducation, exposure to positive counter-stereotypical exemplars and perspective-taking) were compared to a control group at two timepoints. Gender-STEM bias was assessed at the implicit level (via the Implicit Relational Assessment Procedure; IRAP) and the explicit level (via rating scales). Two hundred and ten adults (58.1% women) completed one of the four study conditions. Results indicated that implicit gender-STEM bias is malleable, at least in the short term. At Time 1, intervention groups showed higher levels of implicit pro-Women-STEM bias and lower levels of pro-Men-STEM bias than the Control group. Psychoeducation appeared most effective, followed by exposure to positive counter-stereotypical exemplars. Results from Time 2 presented a more complex picture of implicit bias change, as the control group exhibited an increased pro-Women-STEM bias that was unexpected. The implications of these findings are discussed in relation to refining the interventions, the malleability of gender-STEM bias and the measurement of implicit bias across contexts.

A gender equality paradox in academic publishing: Countries with a higher proportion of female first-authored journal articles have larger first-author gender disparities between fields

Current attempts to address the shortfall of female researchers in science, technology, engineering, and mathematics (STEM) have not yet succeeded, despite other academic subjects having female majorities. This article investigates the extent to which gender disparities are subject-wide or nation-specific by a first-author gender comparison of 30 million articles from all 27 Scopus broad fields within the 31 countries with the most Scopus-indexed articles 2014–2018. The results show overall and geocultural patterns as well as individual national differences. Almost half of the subjects were always more male (seven; e.g., Mathematics) or always more female (six; e.g., Immunology & Microbiology) than the national average. A strong overall trend (Spearman correlation 0.546) is for countries with a higher proportion of female first-authored research to also have larger differences in gender disparities between fields (correlation 0.314 for gender ratios). This confirms the international gender equality paradox previously found for degree subject choices: Increased gender equality overall associates with moderately greater gender differentiation between subjects. This is consistent with previous United States-based claims that gender differences in academic careers are partly due to (socially constrained) gender differences in personal preferences. Radical solutions may therefore be needed for some STEM subjects to overcome gender disparities.

In some professions, women have become well represented, yet gender bias persists-Perpetuated by those who think it is not happening

In efforts to promote equality and combat gender bias, traditionally male-occupied professions are investing resources into hiring more women. Looking forward, if women do become well represented in a profession, does this mean equality has been achieved? Are issues of bias resolved? Two studies including a randomized double-blind experiment demonstrate that biases persist even when women become well represented (evinced in veterinary medicine). Evidence included managers evaluating an employee randomly assigned a male (versus female) name as more competent and advising a $3475.00 higher salary, equating to an 8% pay gap. Importantly, those who thought bias was not happening in their field were the key drivers of it-a "high risk" group (including men and women) that, as shown, can be readily identified/assessed. Thus, as other professions make gains in women's representation, it is vital to recognize that discrimination can persist-perpetuated by those who think it is not happening.

Mind the Gap: The Underrepresentation of Female Participants and Authors in Virtual Reality Research

A common goal of human-subject experiments in virtual reality (VR) research is evaluating VR hardware and software for use by the general public. A core principle of human-subject research is that the sample included in a given study should be representative of the target population; otherwise, the conclusions drawn from the findings may be biased and may not generalize to the population of interest. In order to assess whether characteristics of participants in VR research are representative of the general public, we investigated participant demographic characteristics from human-subject experiments in the Proceedings of the IEEE Virtual Reality Conferences from 2015-2019. We also assessed the representation of female authors. In the 325 eligible manuscripts, which presented results from 365 human-subject experiments, we found evidence of significant underrepresentation of women as both participants and authors. To investigate whether this underrepresentation may bias researchers' findings, we then conducted a meta-analysis and meta-regression to assess whether demographic characteristics of study participants were associated with a common outcome evaluated in VR research: the change in simulator sickness following head-mounted display VR exposure. As expected, participants in VR studies using HMDs experienced small but significant increases in simulator sickness. However, across the included studies, the change in simulator sickness was systematically associated with the proportion of female participants. We discuss the negative implications of conducting experiments on non-representative samples and provide methodological recommendations for mitigating bias in future VR research.

Women Quotas vs. Men Quotas in Academia: Students Perceive Favoring Women as Less Fair Than Favoring Men

In this study, we analyze the free verbal associations to the stimuli women quotas and men quotas of 327 medical students. Women and men quotas are characterized by the same modus operandi (i.e., preferential treatment based on sex/gender). However, women quotas help a low-status group, whereas men quotas help a high-status group. In line with a support paradox, that is, the perception that support for women is less fair and less legitimate than support for men, we expected that students would reject women quotas in academia more vehemently than men quotas. Specifically, we hypothesized that students would have more negative and more emotional associations with women quotas than men quotas. As predicted, students had more negative associations with women quotas than with men quotas. However, students did not have more emotional associations with women quotas than with men quotas. In addition, we explored the semantic content of the free associations to identify specific concerns over each quota. Students perceived women quotas as counterproductive, derogatory, and unfair, whereas they perceived men quotas as beneficial and fair. Concerns over the negative perceptions of quota beneficiaries were associated more frequently with women quotas than men quotas. Potential factors underlying students’ perceptions of both quotas are discussed.

Men and women differ in their perception of gender bias in research institutions

There is extensive evidence of gender inequality in research leading to insufficient representation of women in leadership positions. Numbers revealing a gender gap in research are periodically reported by national and international institutions but data on perceptions of gender equality within the research community are scarce. In the present study, a questionnaire based on the British Athena Survey of Science, Engineering and Technology (ASSET 2016) was distributed among researchers working in Spain. Consistent with the original UK-based study, women in research perceived a greater degree of gender inequality than men. This difference was consistent from junior to senior positions, within public and private universities as well as research centres, and across all research disciplines. When responses were compared with the existing UK-based questionnaire, researchers in Spain felt that women and men are treated more equally in the workplace, yet they perceived their home departments to be less supportive regarding matters of gender equality. The results of this study provide clear evidence that men and women do not share the same perceptions of gender equality in science and that their differing perceptions are relatively consistent across two major European countries. The fact that men occupy the majority of senior positions while not perceiving the same inequality as women do, may be critical when it comes to ensuring the fair ascent of women to senior positions in an academic system. These data encourage the implementation of measures to ensure that both men and women are aware of gender biases in research.

Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions

The landscape of gender in education and the workforce has shifted over the past decades: women have made gains in representation, equitable pay, and recognition through awards, grants, and publications. Despite overall change, differences persist in the fields of science, technology, engineering, and mathematics (STEM). This Viewpoints article on gender disparities in STEM offers an overarching perspective by addressing what the issues are, why the issues may emerge, and how the issues may be solved. In Part 1, recent data on gaps in representation, compensation, and recognition (awards, grants, publications) are reviewed, highlighting differences across subfields (e.g., computer science vs biology) and across career trajectories (e.g., bachelor's degrees vs senior faculty). In Part 2, evidence on leading explanations for these gaps, including explanations centered on abilities, preferences, and explicit and implicit bias, is presented. Particular attention is paid to implicit bias: mental processes that exist largely outside of conscious awareness and control in both male and female perceivers and female targets themselves. Given its prevalence and persistence, implicit bias warrants a central focus for research and application. Finally, in Part 3, the current knowledge is presented on interventions to change individuals' beliefs and behaviors, as well as organizational culture and practices. The moral issues surrounding equal access aside, understanding and addressing the complex issues surrounding gender in STEM are important because of the possible benefits to STEM and society that will be realized only when full participation of all capable and qualified individuals is guaranteed.

Visualizing Gendered Representations of Male and Female Teachers Using a Reverse Correlation Paradigm

Abstract. Stereotypically, men are expected to outperform women in science, technology, engineering, and mathematics (STEM) domains, and women to outperform men in language. We conceptually replicated this association using reverse correlation tasks. Without available gender information, participants generated male images of physics teachers and female images of language teachers (Studies 1 and 3). Personal endorsement of respective ability stereotypes inconsistently predicted these effects (Studies 1 and 3). With unambiguous gender information (Study 2), participants generated feminized images of female language teachers and masculinized images of female physics teachers, whereas images of male teachers were unaffected by academic domain. Stereotype endorsement affected perceptions of female but not male teachers, suggesting that appearing feminine in STEM domains still signals professional mismatch.

Are gender gaps due to evaluations of the applicant or the science? A natural experiment at a national funding agency

BACKGROUND

Across countries and disciplines, studies show male researchers receive more research funding than their female peers. Because most studies have been observational, it is unclear whether imbalances stem from evaluations of female research investigators or of their proposed research. In 2014, the Canadian Institutes of Health Research created a natural experiment by dividing investigator-initiated funding applications into two new grant programmes: one with and one without an explicit review focus on the calibre of the principal investigator.

METHODS

We analysed application success among 23 918 grant applications from 7093 principal investigators in all investigator-initiated Canadian Institutes of Health Research grant programmes between 2011 and 2016. We used generalised estimating equations to account for multiple applications by the same applicant and compared differences in application success between male and female principal investigators under different review criteria.

FINDINGS

Overall application success across competitions was 15·8%. After adjusting for age and research domain, the predicted probability of success in traditional programmes was 0·9 percentage points lower for female applicants than male applicants (95% CI 2·0 lower-0·2 higher; odds ratio 0·934, 95% CI 0·854-1·022). In the new programme, in which review focused on the proposed science, the gap remained 0·9 percentage points (3·2 lower-1·4 higher; 0·998, 0·794-1·229). In the new programme with an explicit review focus on the calibre of the principal investigator, the gap was 4·0 percentage points (6·7 lower-1·3 lower; 0·705, 0·519-0·960).

INTERPRETATION

Gender gaps in grant funding are attributable to less favourable assessments of women as principal investigators, not of the quality of their proposed research. We discuss reasons less favourable assessments might occur and strategies to foster fair and rigorous peer review.

FUNDING

None.

“I’m Not a Science Nerd!”

Stereotypes reduce women’s identification with science, technology, engineering, and math (STEM), which can decrease their motivation to enter STEM domains. Stereotypes may be gender-based (e.g., STEM is for men) or trait-based (e.g., STEM is for geniuses). In this study, I explored two primary research questions: First, would stereotyping STEM as a domain for nerdy geniuses negatively relate to women’s STEM identity? Second, would STEM identity mediate the relation between stereotypes and STEM motivation? Nerd-genius stereotypes and gender stereotypes negatively contributed to women’s STEM identity. STEM identity positively contributed to women’s STEM motivation (including expectancy-value beliefs). Participants were a diverse sample of undergraduate women ( N = 195, mean age was 19.8; 30% of participants were Latina, 30% European, 24% Asian). Stereotype measures were (1) implicit gender-STEM associations, (2) explicit gender associations about STEM, and (3) a new scale that measured nerd-genius stereotypes. The results highlight the unique contribution different stereotypes make toward women’s identification with STEM and, in turn, their motivation to pursue STEM pathways. Practice implications include addressing nerd-genius stereotypes in STEM interventions and reducing classroom artifacts that might be reminiscent of these stereotypes.

Do Gender-Related Stereotypes Affect Spatial Performance? Exploring When, How and to Whom Using a Chronometric Two-Choice Mental Rotation Task

It is a common belief that males have superior visuospatial abilities and that differences in this and other cognitive domains (e.g., math) contribute to the reduced interest and low representation of girls and women in STEM education and professions. However, previous studies show that gender-related implicit associations and explicit beliefs, as well as situational variables, might affect cognitive performance in those gender-stereotyped domains and produce between-gender spurious differences. Therefore, the present study aimed to provide information on when, how and who might be affected by the situational reactivation of stereotypic gender-science beliefs/associations while performing a 3D mental rotation chronometric task (3DMRT). More specifically, we assessed the explicit beliefs and implicit associations (by the Implicit Association Test) held by female and male students of humanities and STEM majors and compared their performance in a 3DMRT after receiving stereotype- congruent, incongruent and nullifying experimental instructions. Our results show that implicit stereotypic gender-science associations correlate with 3DMRT performance in both females and males, but that inter-gender differences emerge only under stereotype-reactivating conditions. We also found that changes in self-confidence mediate these instructions’ effects and that academic specialization moderates them, hence promoting 3DMRT performance differences between male and female humanities, but not STEM, students. Taken together, these observations suggest that the common statement “males have superior mental rotation abilities” simplifies a much more complex reality and might promote stereotypes which, in turn, might induce artefactual performance differences between females and males in such tasks.

Combatting gender discrimination: A lack of fit framework

Gender inequalities in the workplace persist, and scholars point to gender discrimination as a significant contributor. As organizations attempt to address this problem, we argue that theory can help shed light on potential solutions. This paper discusses how the lack of fit model can be used by organizations as a framework to understand the process that facilitates gender discrimination in employment decisions and to identify intervention strategies to combat it. We describe two sets of strategies. The first is aimed at reducing the perception that women are not suited for male-typed positions. The second is aimed at preventing the negative performance expectations that derive from this perception of unsuitability from influencing evaluative judgments. Also included is a discussion of several unintentional consequences that may follow from enacting these strategies. We conclude by arguing for the importance of the interplay between theory and practice in targeting gender discrimination in the workplace.

One Size Does Not Fit All: Gender Inequity in STEM Varies Between Subfields

We wholeheartedly agree with Miner et al. (2018) that industrial and organizational (I-O) psychologists should take a lead in addressing gender inequity in science, technology, engineering, and mathematics (STEM) fields. The focal article is particularly timely in light of the recent controversial “Google memo” (Damore, 2017), in which a senior software engineer endorsed the same individual-level myths regarding the gender gap in STEM that were critiqued by Miner et al. (2018). However, we caution against painting all STEM fields with the same broad brush. We argue that it is critical for I-O psychologists to be aware of important differences between STEM subfields, as these distinctions suggest that a “one-size-fits-all” approach may be inadequate for addressing existing gender disparities in STEM. In order to be maximally effective, interventions may need to emphasize distinct issues and target different points in the career pipeline depending on the specific STEM subfield in question.

Bridging Individual and Social-Structural Perspectives

A paradigm shift toward a social-structural perspective may provide a better understanding of the gender inequity in STEM fields than its predecessor, but this perspective falls prey to the focal article authors’ (Miner et al., 2018) own criticisms: It offers an incomplete account of the phenomenon of interest. We argue that a multilevel systems perspective is the most appropriate approach when trying to understand any issue, especially an issue as dense as gender inequity in STEM. A deliberate effort to understand this phenomenon dynamically across levels and time can expand the scope of industrial and organizational (I-O) psychologists’ influence and can better protect us against interventions that result in unintended, adverse outcomes. Below, we discuss the importance of looking across multiple levels simultaneously to understand the temporal and interactional nature of individual and social-structural constructs. Without this depth of understanding, a disruption of the current structure may lead to an unstable, or unanticipated, new structure.

The Development of Children's Gender-Science Stereotypes: A Meta-analysis of 5 Decades of U.S. Draw-A-Scientist Studies

This meta-analysis, spanning 5 decades of Draw-A-Scientist studies, examined U.S. children's gender-science stereotypes linking science with men. These stereotypes should have weakened over time because women's representation in science has risen substantially in the United States, and mass media increasingly depict female scientists. Based on 78 studies (N = 20,860; grades K-12), children's drawings of scientists depicted female scientists more often in later decades, but less often among older children. Children's depictions of scientists therefore have become more gender diverse over time, but children still associate science with men as they grow older. These results may reflect that children observe more male than female scientists in their environments, even though women's representation in science has increased over time.

Bias against research on gender bias

The bias against women in academia is a documented phenomenon that has had detrimental consequences, not only for women, but also for the quality of science. First, gender bias in academia affects female scientists, resulting in their underrepresentation in academic institutions, particularly in higher ranks. The second type of gender bias in science relates to some findings applying only to male participants, which produces biased knowledge. Here, we identify a third potentially powerful source of gender bias in academia: the bias against research on gender bias. In a bibliometric investigation covering a broad range of social sciences, we analyzed published articles on gender bias and race bias and established that articles on gender bias are funded less often and published in journals with a lower Impact Factor than articles on comparable instances of social discrimination. This result suggests the possibility of an underappreciation of the phenomenon of gender bias and related research within the academic community. Addressing this meta-bias is crucial for the further examination of gender inequality, which severely affects many women across the world.

Implicit Gender Bias and the Use of Cardiovascular Tests Among Cardiologists

Background

Physicians' gender bias may contribute to gender disparities in cardiovascular testing. We used the Implicit Association Test to examine the association of implicit gender biases with decisions to use cardiovascular tests.

Methods and Results

In 2014, cardiologists completed Implicit Association Tests and a clinical vignette with patient gender randomly assigned. The Implicit Association Tests measured implicit gender bias for the characteristics of strength and risk taking. The vignette represented an intermediate likelihood of coronary artery disease regardless of patient gender: chest pain (part 1) followed by an abnormal exercise treadmill test (part 2). Cardiologists rated the likelihood of coronary artery disease and the usefulness of stress testing and angiography for the assigned patient. Of the 503 respondents (9.3% of eligible; 87% male, median age of 45 years, 58% in private practice), the majority associated strength or risk taking implicitly with male more than female patients. The estimated likelihood of coronary artery disease for both parts of the vignette was similar by patient gender. The utility of secondary stress testing after an abnormal exercise treadmill test was rated as “high” more often for female than male patients (32.8% versus 24.3%, P=0.04); this difference did not vary with implicit bias. Angiography was more consistently rated as having “high” utility for male versus female patients (part 1: 19.7% versus 9.8%; part 2: 73.7% versus 64.3%; P<0.05 for both); this difference was larger for cardiologists with higher implicit gender bias on risk taking (P=0.01).

Conclusions

Cardiologists have varying degrees of implicit gender bias. This bias explained some, but not all, of the gender variability in simulated clinical decision‐making for suspected coronary artery disease.

Scientific Eminence: Where Are the Women?

Women are sparsely represented among psychologists honored for scientific eminence. However, most currently eminent psychologists started their careers when far fewer women pursued training in psychological science. Now that women earn the majority of psychology Ph.D.'s, will they predominate in the next generation's cadre of eminent psychologists? Comparing currently active female and male psychology professors on publication metrics such as the h index provides clues for answering this question. Men outperform women on the h index and its two components: scientific productivity and citations of contributions. To interpret these gender gaps, we first evaluate whether publication metrics are affected by gender bias in obtaining grant support, publishing papers, or gaining citations of published papers. We also consider whether women's chances of attaining eminence are compromised by two intertwined sets of influences: (a) gender bias stemming from social norms pertaining to gender and to science and (b) the choices that individual psychologists make in pursuing their careers.

What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures

Implicit measures of the gender-science stereotype are often better than explicit measures in predicting relevant outcomes. This finding could reflect a discrepancy between implicit and explicit stereotypes, but an alternative is that the implicit measure is sensitive to constructs other than the stereotype. Analyzing an archival data set (total N = 478,550), we found that self-reported liking of science versus liberal arts was the best predictor of the gender-science implicit association test (IAT). In a reanalysis of a previous study and a replication of another study, we found that evidence for the IAT’s advantage over explicit stereotypes in predicting relevant outcomes disappeared when controlling for self-reported liking. Therefore, perhaps the IAT has often outperformed the explicit stereotype because the gender-science IAT captures personal attraction, whereas the explicit stereotype does not. It is premature to conclude that implicit constructs are superior to explicit constructs in predicting science-related plans and behavior.

Race and Gender Differences in Undergraduate Research Mentoring Structures and Research Outcomes

Participating in undergraduate research with mentorship from faculty may be particularly important for ensuring the persistence of women and minority students in science. Yet many life science undergraduates at research universities are mentored by graduate or postdoctoral researchers (i.e., postgraduates). We surveyed a national sample of undergraduate life science researchers about the mentoring structure of their research experiences and the outcomes they realized from participating in research. We observed two common mentoring structures: an open triad with undergraduate-postgraduate and postgraduate-faculty ties but no undergraduate-faculty tie, and a closed triad with ties among all three members. We found that men and underrepresented minority (URM) students are significantly more likely to report a direct tie to their faculty mentors (closed triad) than women, white, and Asian students. We also determined that mentoring structure was associated with differences in student outcomes. Women's mentoring structures were associated with their lower scientific identity, lower intentions to pursue a science, technology, engineering, and mathematics (STEM) PhD, and lower scholarly productivity. URM students' mentoring structures were associated with higher scientific identity, greater intentions to pursue a STEM PhD, and higher scholarly productivity. Asian students reported lower scientific identity and intentions to pursue a STEM PhD, which were unrelated to their mentoring structures.