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Validated names for experimental studies on race and ethnicity
A large and fast-growing number of studies across the social sciences use experiments to better understand the role of race in human interactions, particularly in the American context. Researchers often use names to signal the race of individuals portrayed in these experiments. However, those names...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006241/ https://www.ncbi.nlm.nih.gov/pubmed/36899034 http://dx.doi.org/10.1038/s41597-023-01947-0 |
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author | Crabtree, Charles Kim, Jae Yeon Gaddis, S. Michael Holbein, John B. Guage, Cameron Marx, William W. |
author_facet | Crabtree, Charles Kim, Jae Yeon Gaddis, S. Michael Holbein, John B. Guage, Cameron Marx, William W. |
author_sort | Crabtree, Charles |
collection | PubMed |
description | A large and fast-growing number of studies across the social sciences use experiments to better understand the role of race in human interactions, particularly in the American context. Researchers often use names to signal the race of individuals portrayed in these experiments. However, those names might also signal other attributes, such as socioeconomic status (e.g., education and income) and citizenship. If they do, researchers would benefit greatly from pre-tested names with data on perceptions of these attributes; such data would permit researchers to draw correct inferences about the causal effect of race in their experiments. In this paper, we provide the largest dataset of validated name perceptions to date based on three different surveys conducted in the United States. In total, our data include over 44,170 name evaluations from 4,026 respondents for 600 names. In addition to respondent perceptions of race, income, education, and citizenship from names, our data also include respondent characteristics. Our data will be broadly helpful for researchers conducting experiments on the manifold ways in which race shapes American life. |
format | Online Article Text |
id | pubmed-10006241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100062412023-03-12 Validated names for experimental studies on race and ethnicity Crabtree, Charles Kim, Jae Yeon Gaddis, S. Michael Holbein, John B. Guage, Cameron Marx, William W. Sci Data Data Descriptor A large and fast-growing number of studies across the social sciences use experiments to better understand the role of race in human interactions, particularly in the American context. Researchers often use names to signal the race of individuals portrayed in these experiments. However, those names might also signal other attributes, such as socioeconomic status (e.g., education and income) and citizenship. If they do, researchers would benefit greatly from pre-tested names with data on perceptions of these attributes; such data would permit researchers to draw correct inferences about the causal effect of race in their experiments. In this paper, we provide the largest dataset of validated name perceptions to date based on three different surveys conducted in the United States. In total, our data include over 44,170 name evaluations from 4,026 respondents for 600 names. In addition to respondent perceptions of race, income, education, and citizenship from names, our data also include respondent characteristics. Our data will be broadly helpful for researchers conducting experiments on the manifold ways in which race shapes American life. Nature Publishing Group UK 2023-03-10 /pmc/articles/PMC10006241/ /pubmed/36899034 http://dx.doi.org/10.1038/s41597-023-01947-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Crabtree, Charles Kim, Jae Yeon Gaddis, S. Michael Holbein, John B. Guage, Cameron Marx, William W. Validated names for experimental studies on race and ethnicity |
title | Validated names for experimental studies on race and ethnicity |
title_full | Validated names for experimental studies on race and ethnicity |
title_fullStr | Validated names for experimental studies on race and ethnicity |
title_full_unstemmed | Validated names for experimental studies on race and ethnicity |
title_short | Validated names for experimental studies on race and ethnicity |
title_sort | validated names for experimental studies on race and ethnicity |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006241/ https://www.ncbi.nlm.nih.gov/pubmed/36899034 http://dx.doi.org/10.1038/s41597-023-01947-0 |
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