The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Stereotype Content Model Explains Prejudice for an Envied Outgroup: Scale of Anti-Asian American Stereotypes
Abstract
The Stereotype Content Model hypothesizes anti-Asian American stereotypes differentiating two dimensions: (excessive) competence and (deficient) sociability. The Scale of Anti-Asian American Stereotypes (SAAAS) shows this envious mixed prejudice in six studies. Study 1 began with 131 racial attitude items. Studies 2 and 3 tested 684 respondents on a focused 25-item version. Studies 4 and 5 tested the final 25-item SAAAS on 222 respondents at three campuses; scores predicted outgroup friendships, cultural experiences, and (over)estimated campus presence. Study 6 showed that allegedly low sociability, rather than excessively high competence, drives rejection of Asian Americans, consistent with system justification theory. The SAAAS demonstrates mixed, envious anti-Asian American prejudice, contrasting with more-often-studied contemptuous racial prejudices (i.e., against Blacks).
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Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
A very brief measure of the Big-Five personality domains
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00046-1 · Cited by 8,307
The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism.
Glick, P., & Fiske, S. T. (1996) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.70.3.491 · Cited by 5,202
Self-citationSexism and racism: Old-fashioned and modern prejudices
Swim, J. K., Aikin, K. J., Hall, W. S., & Hunter, B. A. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.2.199 · Cited by 1,486
Cited by
Universal dimensions of social cognition: warmth and competence
Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.11.005 · Cited by 4,567
Self-citationStereotype content model across cultures: Towards universal similarities and some differences
Cuddy, A. J. C., Fiske, S. T., Kwan, V. S. Y., Glick, P., Demoulin, S., Leyens, J., Bond, M. H., Croizet, J., Ellemers, N., Sleebos, E., et al. (2009) · British Journal of Social Psychology · doi:10.1348/014466608x314935 · Cited by 1,078
Self-citationThis Old Stereotype: The Pervasiveness and Persistence of the Elderly Stereotype
Cuddy, A. J. C., Norton, M. I., & Fiske, S. T. (2005) · Journal of Social Issues · doi:10.1111/j.1540-4560.2005.00405.x · Cited by 940
Self-citationNot an outgroup, not yet an ingroup: Immigrants in the Stereotype Content Model
Lee, T. L., & Fiske, S. T. (2006) · International Journal of Intercultural Relations · doi:10.1016/j.ijintrel.2006.06.005 · Cited by 597
Self-citationMilkman, K. L., Akinola, M., & Chugh, D. (2015) · Journal of Applied Psychology · doi:10.1037/apl0000022 · Cited by 488
Metadata
- Authors
- Lin, M. H., Kwan, V. S. Y., Cheung, A., & Fiske, S. T.
- Venue
- Personality and Social Psychology Bulletin
- Publisher
- SAGE Publications
- Published
- 2005-01
- Volume
- 31
- Issue
- 1
- Pages
- 34-47
- ISSN
- 0146-1672 (ISSN-L)
- 1552-7433
- OpenAlex
- W2107811045
- Cited by
- 426
- References
- 4
- FWCI
- 16.46
- Type
- journal article
- Language
- en
- Open access
- closed
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