Policy as normative influence? On the relationship between parental leave policy and social norms in gender division of childcare across 48 countries.

In the present work, we addressed the relationship between parental leave policies and social norms. Using a pre-registered, cross-national approach, we examined the relationship between parental leave policies and the perception of social norms for the gender division of childcare. In this study, 19,259 students (11,924 women) from 48 countries indicated the degree to which they believe childcare is (descriptive norm) and should be (prescriptive norm) equally divided among mothers and fathers. Policies were primarily operationalized as the existence of parental leave options in the respective country. The descriptive and prescriptive norms of equal division of childcare were stronger when parental leave was available in a country - also when controlling for potential confounding variables. Moreover, analyses of time since policy change suggested that policy change may initially affect prescriptive norms and then descriptive norms at a later point. However, due to the cross-sectional nature of the data, drawing causal inferences is difficult.

Longitudinal stability and change across a year in children's gender stereotypes about four different STEM fields.

Gender stereotypes about science, technology, engineering, and math (STEM) are salient for children and adolescents and contribute to achievement-related disparities and inequalities in STEM participation. However, few studies have used a longitudinal design to examine changes in gender stereotypes across a range of STEM fields. In a large, preregistered study, we examined the developmental trajectories of two gender stereotypes (involving interest and ability) in four STEM fields across three time points within a calendar year, starting in Grades 2-8. The diverse sample included 803 students ages 7-15 years old at the start of the study (50% girls; 8.5% Asian, 6.0% Black, 25.5% Hispanic/Latinx, 43.7% White, and 16.3% other). Multilevel growth modeling was used to examine developmental trajectories in students' stereotypes for four STEM fields (math, science, computer science, and engineering) while considering both gender and grade level. We found that different STEM disciplines displayed different developmental patterns: Math ability and science interest stereotypes more strongly favored girls over the year among elementary school participants, whereas computer science stereotypes less strongly favored boys over time, and engineering stereotypes (which largely favored boys) were stable across time. The results highlight that the development of stereotypes is not the same for all STEM fields as well as the need to understand the complexity and specificity of developmental change across fields and types of stereotypes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Did Descriptive and Prescriptive Norms About Gender Equality at Home Change During the COVID-19 Pandemic? A Cross-National Investigation.

Using data from 15 countries, this article investigates whether descriptive and prescriptive gender norms concerning housework and child care (domestic work) changed after the onset of the COVID-19 pandemic. Results of a total of 8,343 participants (M = 19.95, SD = 1.68) from two comparable student samples suggest that descriptive norms about unpaid domestic work have been affected by the pandemic, with individuals seeing mothers' relative to fathers' share of housework and child care as even larger. Moderation analyses revealed that the effect of the pandemic on descriptive norms about child care decreased with countries' increasing levels of gender equality; countries with stronger gender inequality showed a larger difference between pre- and post-pandemic. This study documents a shift in descriptive norms and discusses implications for gender equality-emphasizing the importance of addressing the additional challenges that mothers face during health-related crises.

Does the follow-your-passions ideology cause greater academic and occupational gender disparities than other cultural ideologies?

Five preregistered studies (N = 1934) demonstrate that the prevalent U.S. ideology to "follow your passions" perpetuates academic and occupational gender disparities compared to some other cultural ideologies. Study 1 shows that the follow-your-passions ideology is commonly used by U.S. students in making academic choices. Studies 2-5 find that making the follow-your-passions ideology salient causes greater academic and occupational gender disparities compared to the resources ideology (i.e., the idea that one should pursue a field that leads to high income and job security). In Study 4, the follow-your-passions ideology causes greater gender disparities even when compared to a cultural ideology that aligns more with the female gender role (i.e., communal ideology). In Study 5, a moderated mediation analysis supports the hypothesis that gender disparities are explained by women's versus men's greater tendency to draw upon female role-congruent selves when the follow-your-passions ideology is salient compared to when the resources ideology is salient. Drawing upon female role-congruent selves remains a significant mediator even when accounting for alternative mediators (e.g., appropriateness of ideology for one's gender). The follow-your-passions ideology may not seem explicitly gendered, but it causes greater academic and occupational gender disparities compared to some other cultural ideologies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Pandemic as a Portal: Reimagining Psychological Science as Truly Open and Inclusive.

Psychological science is at an inflection point: The COVID-19 pandemic has exacerbated inequalities that stem from our historically closed and exclusive culture. Meanwhile, reform efforts to change the future of our science are too narrow in focus to fully succeed. In this article, we call on psychological scientists-focusing specifically on those who use quantitative methods in the United States as one context for such conversations-to begin reimagining our discipline as fundamentally open and inclusive. First, we discuss whom our discipline was designed to serve and how this history produced the inequitable reward and support systems we see today. Second, we highlight how current institutional responses to address worsening inequalities are inadequate, as well as how our disciplinary perspective may both help and hinder our ability to craft effective solutions. Third, we take a hard look in the mirror at the disconnect between what we ostensibly value as a field and what we actually practice. Fourth and finally, we lead readers through a roadmap for reimagining psychological science in whatever roles and spaces they occupy, from an informal discussion group in a department to a formal strategic planning retreat at a scientific society.

Diversifying neighborhoods and schools engender perceptions of foreign cultural threat among White Americans.

A nationally representative survey (N = 2,213) and five experiments (four preregistered, total N = 1,920) revealed that Whites perceived a foreign cultural threat, or a threat to their American culture and way of life, from the projected growth of racial and ethnic minority populations in their majority-White neighborhoods (Studies 1-5) and schools (Study 6). Whites perceived the increasing presence of Arab Americans, Latinos, and Asian Americans to pose an especially strong degree of perceived foreign cultural threat relative to Black Americans, who were perceived as more threatening than no demographic change. Furthermore, perceptions of foreign cultural threat predicted Whites' desires to move out above and beyond other established intergroup threats (e.g., realistic and symbolic threats). These findings highlight how Whites' concerns about losing their American culture and way of life as racial and ethnic minority groups enter majority-White neighborhoods and schools may contribute to the maintenance of racial segregation. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Gender stereotypes about interests start early and cause gender disparities in computer science and engineering.

Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls' subsequent participation in these fields. Studies 1 and 2 (n = 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 (n = 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype ("girls are less interested in this activity than boys") compared to an activity with no such stereotype ("girls and boys are equally interested in this activity"). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.

Do Diversity Awards Discourage Applicants From Marginalized Groups From Pursuing More Lucrative Opportunities?

Four studies reveal that offering diversity awards (i.e., awards for applicants from marginalized groups) has unintentionally negative implications for equity. Across the four studies, applicants from marginalized groups were more likely to select the more lucrative award when two unrestricted awards were offered (Study 1: adults from racial groups underrepresented in U.S. colleges who were recruited from Amazon Mechanical Turk, N = 168; Studies 2-4: college women, N range = 152-628). However, the presence of a less lucrative diversity award caused applicants to apply for and prioritize diversity awards over more lucrative unrestricted awards. Fit, or how much applicants felt the award was for someone like them, mediated their increased likelihood of applying for diversity awards over unrestricted awards. These findings suggest that diversity awards may inadvertently siphon applicants from marginalized groups out of application pools for unrestricted awards. Greater examination of unrestricted awards is needed to increase their attractiveness and fit, especially in instances when diversity awards are also offered.

Open science, communal culture, and women's participation in the movement to improve science.

Science is undergoing rapid change with the movement to improve science focused largely on reproducibility/replicability and open science practices. This moment of change-in which science turns inward to examine its methods and practices-provides an opportunity to address its historic lack of diversity and noninclusive culture. Through network modeling and semantic analysis, we provide an initial exploration of the structure, cultural frames, and women's participation in the open science and reproducibility literatures (n = 2,926 articles and conference proceedings). Network analyses suggest that the open science and reproducibility literatures are emerging relatively independently of each other, sharing few common papers or authors. We next examine whether the literatures differentially incorporate collaborative, prosocial ideals that are known to engage members of underrepresented groups more than independent, winner-takes-all approaches. We find that open science has a more connected, collaborative structure than does reproducibility. Semantic analyses of paper abstracts reveal that these literatures have adopted different cultural frames: open science includes more explicitly communal and prosocial language than does reproducibility. Finally, consistent with literature suggesting the diversity benefits of communal and prosocial purposes, we find that women publish more frequently in high-status author positions (first or last) within open science (vs. reproducibility). Furthermore, this finding is further patterned by team size and time. Women are more represented in larger teams within reproducibility, and women's participation is increasing in open science over time and decreasing in reproducibility. We conclude with actionable suggestions for cultivating a more prosocial and diverse culture of science.

Masculine defaults: Identifying and mitigating hidden cultural biases.

Understanding and remedying women's underrepresentation in majority-male fields and occupations require the recognition of a lesser-known form of cultural bias called masculine defaults. Masculine defaults exist when aspects of a culture value, reward, or regard as standard, normal, neutral, or necessary characteristics or behaviors associated with the male gender role. Although feminist theorists have previously described and analyzed masculine defaults (e.g., Bem, 1984; de Beauvoir, 1953; Gilligan, 1982; Warren, 1977), here we define masculine defaults in more detail, distinguish them from more well-researched forms of bias, and describe how they contribute to women's underrepresentation. We additionally discuss how to counteract masculine defaults and possible challenges to addressing them. Efforts to increase women's participation in majority-male departments and companies would benefit from identifying and counteracting masculine defaults on multiple levels of organizational culture (i.e., ideas, institutional policies, interactions, individuals). (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The Development of a Brief Distress Reduction Intervention for Individuals Recently Diagnosed With HIV in China.

In China, where there are few mental health resources, the majority of HIV-related efforts have focused on medical treatment and transmission prevention rather than psychosocial support. Yet people living with HIV/AIDS (PLWHA) report high levels of psychological distress, especially upon first receiving their HIV diagnosis. We conducted mixed methods research of a qualitative study with (N = 31) individual interviews and 3 focus groups (n = 6 in each group) of HIV-affected participants, and a quantitative survey (N = 200) with individuals living with HIV in Shanghai and Beijing, China. Our qualitative data revealed themes of forms of distress experienced and types of psychosocial support that our participants wished they could have accessed upon diagnosis as well as suggestions for intervention structure that would be most feasible and acceptable. Our quantitative surveys provided further evidence of the high degree of psychosocial distress among recently diagnosed PLWHA. Our findings informed the development of the Psychology Toolbox intervention, a brief CBT skills-based intervention comprising cognitive restructuring, behavioral activation, and paced breathing, designed to be integrated into primary care for recently diagnosed PLWHA. This study describes the intervention development process and contents of each session. Future research should evaluate the intervention for efficacy as well as examine best strategies for eventual implementation and dissemination.

Unexpected Gains: Being Overweight Buffers Asian Americans From Prejudice Against Foreigners.

Can being overweight, a factor that commonly leads to stigmatization, ironically buffer some people from race-based assumptions about who is American? In 10 studies, participants were shown portraits that were edited to make the photographed person appear either overweight (body mass index, or BMI > 25) or normal weight (BMI < 25). A meta-analysis of these studies revealed that overweight Asian individuals were perceived as significantly more American than normal-weight versions of the same people, whereas this was not true for White, Black, or Latino individuals. A second meta-analysis showed that overweight Asian men were perceived as less likely to be in the United States without documentation than their normal-weight counterparts. A final study demonstrated that weight stereotypes about presumed countries of origin shape who is considered American. Taken together, these studies demonstrate that perceptions of nationality are malleable and that perceived race and body shape interact to inform these judgments.

Programming experience promotes higher STEM motivation among first-grade girls.

The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technological fields such as computer science and engineering than in math and science. Gender gaps begin early; young girls report less interest and self-efficacy in technology compared with boys in elementary school. In the current study (N=96), we assessed 6-year-old children's stereotypes about STEM fields and tested an intervention to develop girls' STEM motivation despite these stereotypes. First-grade children held stereotypes that boys were better than girls at robotics and programming but did not hold these stereotypes about math and science. Girls with stronger stereotypes about robotics and programming reported lower interest and self-efficacy in these domains. We experimentally tested whether positive experience with programming robots would lead to greater interest and self-efficacy among girls despite these stereotypes. Children were randomly assigned either to a treatment group that was given experience in programming a robot using a smartphone or to control groups (no activity or other activity). Girls given programming experience reported higher technology interest and self-efficacy compared with girls without this experience and did not exhibit a significant gender gap relative to boys' interest and self-efficacy. These findings show that children's views mirror current American cultural messages about who excels at computer science and engineering and show the benefit of providing young girls with chances to experience technological activities.

Two axes of subordination: A new model of racial position.

Theories of race relations have been shaped by the concept of a racial hierarchy along which Whites are the most advantaged and African Americans the most disadvantaged. However, the recent precipitated growth of Latinos and Asian Americans in the United States underscores the need for a framework that integrates more groups. The current work proposes that racial and ethnic minority groups are disadvantaged along 2 distinct dimensions of perceived inferiority and perceived cultural foreignness, such that the 4 largest groups in the United States are located in 4 discrete quadrants: Whites are perceived and treated as superior and American; African Americans as inferior and relatively American compared with Latinos and Asian Americans; Latinos as inferior and foreign; and Asian Americans as foreign and relatively superior compared to African Americans and Latinos. Support for this Racial Position Model is first obtained from targets' perspectives. Different groups experience distinct patterns of racial prejudice that are predicted by their 2-dimensional group positions (Studies 1 and 2). From perceivers' perspectives, these group positions are reflected in the content of racial stereotypes (Study 3), and are well-known and consensually recognized (Study 4). Implications of this new model for studying contemporary race relations (e.g., prejudice, threat, and interminority dynamics) are discussed. (PsycINFO Database Record

Why are some STEM fields more gender balanced than others?

Women obtain more than half of U.S. undergraduate degrees in biology, chemistry, and mathematics, yet they earn less than 20% of computer science, engineering, and physics undergraduate degrees (National Science Foundation, 2014a). Gender differences in interest in computer science, engineering, and physics appear even before college. Why are women represented in some science, technology, engineering, and mathematics (STEM) fields more than others? We conduct a critical review of the most commonly cited factors explaining gender disparities in STEM participation and investigate whether these factors explain differential gender participation across STEM fields. Math performance and discrimination influence who enters STEM, but there is little evidence to date that these factors explain why women's underrepresentation is relatively worse in some STEM fields. We introduce a model with three overarching factors to explain the larger gender gaps in participation in computer science, engineering, and physics than in biology, chemistry, and mathematics: (a) masculine cultures that signal a lower sense of belonging to women than men, (b) a lack of sufficient early experience with computer science, engineering, and physics, and (c) gender gaps in self-efficacy. Efforts to increase women's participation in computer science, engineering, and physics may benefit from changing masculine cultures and providing students with early experiences that signal equally to both girls and boys that they belong and can succeed in these fields. (PsycINFO Database Record

Social group membership increases STEM engagement among preschoolers.

The American educational system currently yields disappointing levels of science, technology, engineering, and math (STEM) engagement and achievement among students. One way to remedy this may be to increase children's motivation in STEM from an early age. This study examined whether a social cue-being part of an experimental "minimal group"-increases STEM engagement in preschoolers (N = 141; 4.5-year-olds). Using a within-subjects design, participants were assigned to a group and an individual condition (counterbalanced for order) before they worked on a math task and a spatial task. Children persisted longer on, placed more pieces correctly, reported higher self-efficacy, and were more interested in the group STEM task than the individual STEM task. In addition, we conducted a continuously cumulating meta-analysis (CCMA) to combine the results of the current experiment with two previous experiments. These findings suggest that incorporating nonacademic social factors, such as group membership, into current STEM curricula could be an effective way to boost young children's STEM motivation. (PsycINFO Database Record

Data from a pre-publication independent replication initiative examining ten moral judgement effects.

We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory's research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.

Prejudice Masquerading as Praise: The Negative Echo of Positive Stereotypes.

Five studies demonstrate the powerful connection between being the target of a positive stereotype and expecting that one is also being ascribed negative stereotypes. In Study 1, women who heard a man state a positive stereotype were more likely to believe that he held negative stereotypes of them than women who heard no stereotype. Beliefs about being negatively stereotyped mediated the relationship between hearing a positive stereotype and believing that the stereotyper was prejudiced. Studies 2 to 4 extended these results to Asian Americans and accounted for alternative explanations (e.g., categorization threat). In Study 5, the same positive stereotype (e.g., good at math) was directed to Asian American men's racial or gender identity. Their perceptions about whether negative racial or gender stereotypes were being applied to them depended on the identity referenced by the positive stereotype. Positive stereotypes signal a latent negativity about one's group, thereby explaining why they can feel like prejudice.