This meta-analysis integrated 16 nationally representative U.S. public opinion polls on gender stereotypes (N ϭ 30,093 adults), extending from 1946 to 2018, a span of seven decades that brought considerable change in gender relations, especially in women's roles. In polls inquiring about communion (e.g., affectionate, emotional), agency (e.g., ambitious, courageous), and competence (e.g., intelligent, creative), respondents indicated whether each trait is more true of women or men, or equally true of both. Women's relative advantage in communion increased over time, but men's relative advantage in agency showed no change. Belief in competence equality increased over time, along with belief in female superiority among those who indicated a sex difference in competence. Contemporary gender stereotypes thus convey substantial female advantage in communion and a smaller male advantage in agency but also gender equality in competence along with some female advantage. Interpretation emphasizes the origins of gender stereotypes in the social roles of women and men.
Building on theories of impression formation based on faces, this research investigates the impact of job candidates’ facial age appearance on hiring as well as the underlying mechanism. In an experiment, participants decided whether to hire a fictitious candidate aged 50 years, 30 years or without age information. The candidate's age was signalled either via chronological information (varied by date of birth) or via facial age appearance (varied by a photograph on the résumé). Findings showed that candidates with older‐appearing faces – but not chronologically older candidates – triggered impressions of low health and fitness, compared to younger‐appearing candidates. These impressions reduced perceptions of person–job fit, which lowered hiring probabilities for older‐appearing candidates. These findings provide the first evidence that trait impressions from faces are a determinant of age discrimination in personnel selection. They call for an extension of current models of age discrimination by integrating the effects of face‐based trait impressions, particularly with respect to health and fitness.
This research examined the impact of facial age appearance on hiring, and impressions of fitness as the underlying mechanism. In two experimental hiring simulations, one with lay persons and one with Human Resource professionals, participants evaluated a chronologically older or younger candidate (as indicated by date of birth and age label) with either younger or older facial age appearance (as indicated by a photograph). In both studies, older-looking candidates received lower hireability ratings, due to less favorable fitness impressions. In addition, Study 1 showed that this age bias was reduced when the candidates provided counter-stereotypic information about their fitness. Study 2 showed that facial age-based discrimination is less prevalent in jobs with less costumer contact (e.g., back office).
Men are presented with higher facial prominence than women in the media, a phenomenon that is called face-ism. In naturalistic settings, face-ism effects could be driven by gender biases of photographers and/or by gender differences in self-presentation. The present research is the first to investigate whether women and men themselves create this different facial prominence. In a controlled laboratory study, 61 participants prepared a picture of themselves from a half-body photograph, allegedly to be uploaded to their profile for an online professional network. As expected, men cropped their photos with higher facial prominence than women did. However, women and men did not differ in the self-presentational motivations, goals, strategies, and personality variables under investigation, so that the observed face-ism effect could not be explained with these variables. Generally, the higher participants' physical appearance self-esteem, the higher was their self-created facial prominence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.