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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 countr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159648/ https://www.ncbi.nlm.nih.gov/pubmed/35650381 http://dx.doi.org/10.3758/s13428-022-01851-2 |
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author | Charlesworth, Tessa E. S. Navon, Mayan Rabinovich, Yoav Lofaro, Nicole Kurdi, Benedek |
author_facet | Charlesworth, Tessa E. S. Navon, Mayan Rabinovich, Yoav Lofaro, Nicole Kurdi, Benedek |
author_sort | Charlesworth, Tessa E. S. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-022-01851-2. |
format | Online Article Text |
id | pubmed-9159648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91596482022-06-02 The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) Charlesworth, Tessa E. S. Navon, Mayan Rabinovich, Yoav Lofaro, Nicole Kurdi, Benedek Behav Res Methods Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-022-01851-2. Springer US 2022-06-01 2023 /pmc/articles/PMC9159648/ /pubmed/35650381 http://dx.doi.org/10.3758/s13428-022-01851-2 Text en © The Psychonomic Society, Inc. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Charlesworth, Tessa E. S. Navon, Mayan Rabinovich, Yoav Lofaro, Nicole Kurdi, Benedek The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title | The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title_full | The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title_fullStr | The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title_full_unstemmed | The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title_short | The project implicit international dataset: Measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
title_sort | project implicit international dataset: measuring implicit and explicit social group attitudes and stereotypes across 34 countries (2009–2019) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159648/ https://www.ncbi.nlm.nih.gov/pubmed/35650381 http://dx.doi.org/10.3758/s13428-022-01851-2 |
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