The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009-2019)

For decades, researchers across the social sciences have sought to document and explain the worldwide variation in social group attitudes (evaluative representations, e.g., young-good/old-bad) and stereotypes (attribute representations, e.g., male-science/female-arts). Indeed, uncovering such country-level variation can provide key insights into questions ranging from how attitudes and stereotypes are clustered across places to why places vary in attitudes and stereotypes (including ecological and social correlates). Here, we introduce the Project Implicit:International (PI:International) dataset that has the potential to propel such research by offering the first cross-country dataset of both implicit (indirectly measured) and explicit (directly measured) attitudes and stereotypes across multiple topics and years. PI:International comprises 2.3 million tests for seven topics (race, sexual orientation, age, body weight, nationality, and skin-tone attitudes, as well as men/women-science/arts stereotypes) using both indirect (Implicit Association Test; IAT) and direct (self-report) measures collected continuously from 2009 to 2019 from 34 countries in each country's native language(s). We show that the IAT data from PI:International have adequate internal consistency (split-half reliability), convergent validity (implicit-explicit correlations), and known groups validity. Given such reliability and validity, we summarize basic descriptive statistics on the overall strength and variability of implicit and explicit attitudes and stereotypes around the world. The PI:International dataset, including both summary data and trial-level data from the IAT, is provided openly to facilitate wide access and novel discoveries on the global nature of implicit and explicit attitudes and stereotypes.

Do Youth Dream of Gender Stereotypes? The Relationship among Gender Stereotyping, Support for Feminism, and Acceptance of Gender-Based Violence

Although gender roles have continued to evolve, stereotypical perceptions about men and women persist. From a traditional perspective, men are viewed as aggressive, competitive, and dominant, whereas women are expected to be pretty, affectionate, and passive. The relevance of gender stereotypes lies in the way such expectations reinforce gender inequality and discrimination. Gender stereotyping is also linked to an increased acceptance of gender-based violence, as such conceptions are based on the premise that women are subordinate to men. The current study uses data from the Barometer on Youth and Gender, conducted by the Centro Reina Sofía in 2021 (N = 1201), to analyze the potential associations among gender stereotyping, support for feminism, and acceptance of gender-based violence among young people in Spain (15-29 years old). The results show that young people ascribe, to some extent, stereotypical characteristics to women and men and point to the existence of gender-based occupational stereotypes. Our results shed light on the role that gender stereotyping plays in support for feminism and the acceptance of gender-based violence. They also provide valuable information about the magnitude of gender-stereotypical perceptions among young men and women.

Adolescents’ implicit attitudes towards people with immigrant background: Differences and correlates

People with an immigrant background can be affected by stereotypes and discrimination. As adolescence is an important developmental stage, this study investigated whether adolescents hold (negative) implicit attitudes towards people with Turkish immigrant background and whether adolescents differ in the extent of attitudes. Additionally, the relevance of perceived discrimination, identification with culture of residence, motivation to act without predjudice, and quality and quantity of contact to people with Turkish immigrant background for the extent of implicit attitudes was analysed. Analyses are based on 244 adolescents (60.7% female, 1.6% diverse; 13.1% with Turkish immigrant background, 16.8% with immigrant background other than Turkish) who participated in an online study. An implicit association test revealed that negative implicit attitudes towards people with a Turkish immigrant background were present among adolescents. Unlike adolescents with a Turkish immigrant background, adolescents without immigrant background and with immigrant background other than Turkish hold negative implicit attitudes on average. For the total sample, it was found that low perceived discrimination was related to negative implicit attitudes. The results are discussed with respect to substantive and methodological aspects. Implications for research and practice are derived.

The good and the bad: Are some attribute words better than others in the Implicit Association Test?

The Implicit Association Test (IAT) is one of the most popular measures in psychological research. A lack of standardization across IATs has resulted in significant variability among stimuli used by researchers, including the positive and negative words used in evaluative IATs. Does the variability in attribute words in evaluative IATs produce unwanted variability in measurement quality across studies? The present work investigated the effect of evaluative stimuli across three studies using 13 IATs and over 60,000 participants. The 64 positive and negative words that we tested provided similar measurement quality. Further, measurement was satisfactory even in IATs that used only category labels as stimuli. These results suggest that common sense is probably a sufficient method for selection of evaluative stimuli in the IAT. For reasonable measurement quality, we recommend that researchers using evaluative IATs in English select words randomly from the set we tested in the present research.

Patient Experience Surveys Reveal Gender-Biased Descriptions of Their Care Providers

Patient experience surveys (PES) are collected by healthcare systems as a surrogate marker of quality and published unedited online for the purpose of transparency, but these surveys may reflect gender biases directed toward healthcare providers. This retrospective study evaluated PES at a single university hospital between July 2016 and June 2018. Surveys were stratified by overall provider rating and self-identified provider gender. Adjectives from free-text survey comments were extracted using natural language processing techniques and applied to a statistical machine learning model to identify descriptors predictive of provider gender. 109,994 surveys were collected, 17,395 contained free-text comments describing 687 unique providers. The mean overall rating between male (8.84, n = 8558) and female (8.80, n = 8837) providers did not differ (p = 0.149). However, highly-rated male providers were more often described for their agentic qualities using adjectives such as "informative," "forthright," "superior," and "utmost" (OR 1.48, p < 0.01)-whereas highly-rated female providers were more often described by their communal qualities through adjectives such as "empathetic," "sweet," "warm," "attentive," and "approachable" (OR 2.11, p < 0.0001). PES may contain gender stereotypes, raising questions about their impact on physicians and their validity as a quality metric which must be balanced with the need for unedited transparency. Future prospective studies are needed to further characterize this trend across geographically and racially diverse healthcare providers.

Ideological Differences in Race and Gender Stereotyping

We investigated whether political ideology was associated with the endorsement of race and gender stereotypes, and examined motivational and cognitive factors that could account for any ideological differences. Across five preregistered studies, people who were more politically conservative more strongly supported the use of stereotypes to make social inferences based on race, and endorsed specific stereotypes about racial and gender groups. An internal meta-analysis indicated that a greater desire to uphold group-based hierarchy and lower epistemic motivation to deliberate explained, in part, why conservatives were more likely to endorse the use of stereotypes, while cognitive ability did not have a significant explanatory role. These findings suggest that characteristics of individuals not inherently linked to any particular social group can shape perceptions about whether stereotypes are valid, and highlight how basic psychological motivations lead liberals and conservatives to diverge in their perceptions of groups.

The relationship between implicit intergroup attitudes and beliefs

Intergroup attitudes (evaluations) are generalized valence attributions to social groups (e.g., white-bad/Asian-good), whereas intergroup beliefs (stereotypes) are specific trait attributions to social groups (e.g., white-dumb/Asian-smart). When explicit (self-report) measures are used, attitudes toward and beliefs about the same social group are often related to each other but can also be dissociated. The present work used three approaches (correlational, experimental, and archival) to conduct a systematic investigation of the relationship between implicit (indirectly revealed) intergroup attitudes and beliefs. In study 1 (n = 1,942), we found significant correlations and, in some cases, evidence for redundancy, between Implicit Association Tests (IATs) measuring attitudes toward and beliefs about the same social groups (mean r = 0.31, 95% confidence interval: [0.24; 0.39]). In study 2 (n = 383), manipulating attitudes via evaluative conditioning produced parallel changes in belief IATs, demonstrating that implicit attitudes can causally drive implicit beliefs when information about the specific semantic trait is absent. In study 3, we used word embeddings derived from a large corpus of online text to show that the relative distance of 22 social groups from positive vs. negative words (reflecting generalized attitudes) was highly correlated with their distance from warm vs. cold, and even competent vs. incompetent, words (reflecting specific beliefs). Overall, these studies provide convergent evidence for tight connections between implicit attitudes and beliefs, suggesting that the dissociations observed using explicit measures may arise uniquely from deliberate judgment processes.