Mapping the Content of Asian Stereotypes in the United States: Intersections with ethnicity, gender, income, and birthplace
No Thumbnail Available
Can’t use the file because of accessibility barriers? Contact us with the title of the item, permanent link, and specifics of your accommodation need.
Date
2023-06
Journal Title
Journal ISSN
Volume Title
Publisher
Sage
Permanent Link
Abstract
How are people of Asian origin perceived in contemporary U.S. culture? While often depicted as a “model minority” – competent and hardworking, but also quiet, unsociable, or cold – little work measures whether and how these stereotypes vary for Asians in different social locations. We use a large (n ~4,700) quota sample of the United States, matched to key U.S. demographics, to map the content of Asian stereotypes across ethnicity, gender, income, and birthplace. We find that some stereotypes are largely consistent across subgroups– such as the perception that Asians lack sociability, but not warmth, relative to white Americans – while others vary substantially. Perceptions of dominance vary by income, while perceptions of competence are moderated by income and ethnicity in complex ways. Stereotypes have important consequences, ranging from everyday frustrations to depressive symptoms and employment discrimination. Our work provides a detailed picture of how stereotypes vary across social locations.
Description
This includes data, STATA do-files, survey text, and survey files (Qualtrics .qsf) for Benard, Manago, Russian, and Cha, forthcoming in Social Psychology Quarterly. This version corrects an earlier version; gender markers for the Fig.5 scatterplot were previously reversed.
A previous version of this work can be found at: https://hdl.handle.net/2022/28228.
Keywords
Sociology, Asian, Asian American, Stereotype Content Model
Citation
Benard, S., Manago, B., Acosta Russian, A. and Cha, Y., 2023. Mapping the Content of Asian Stereotypes in the United States: Intersections with Ethnicity, Gender, Income, and Birthplace. Social Psychology Quarterly, p.01902725221126188.
Journal
DOI
Link(s) to data and video for this item
Relation
Type
Dataset