The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Self-reported differences in creativity by ethnicity and gender
Abstract
Creativity assessment has been proposed as a supplement to intellectual testing, in part because of reduced differences by ethnicity; creativity testing might also specifically help reduce stereotype threat. Recent trends in creativity research point to a domain-specific view challenging the more traditional generalist view. With these trends in mind, the current study assessed creative self-perceptions of 3553 students and community members in 56 different possible domains distributed across five factors (as determined by principal components analysis). African Americans were less likely to fall prone to gender stereotypes in creativity. In addition, African Americans and Native Americans tended to rate themselves as more creative than other ethnicities. Specific trends in the factors and implications for future research are discussed. Copyright © 2006 John Wiley & Sons, Ltd.
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Cites
Stereotype threat and the intellectual test performance of African Americans.
Steele, C. M., & Aronson, J. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.69.5.797 · Cited by 9,020
A threat in the air: How stereotypes shape intellectual identity and performance
Steele, C. M. (1997) · American Psychologist · doi:10.1037/0003-066x.52.6.613 · Cited by 6,770
Stereotypes and prejudice: Their automatic and controlled components
Devine, P. G. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.1.5 · Cited by 5,673
Is the proof in the pudding? Reanalyses of Torrance׳s (1958 to present) longitudinal data
Plucker, J. A. (1999) · Creativity Research Journal · doi:10.1207/s15326934crj1202_3 · Cited by 390
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Lee, C. S., & Therriault, D. J. (2013) · Intelligence · doi:10.1016/j.intell.2013.04.008 · Cited by 402
Expertise, Domains, and the Consensual Assessment Technique
KAUFMAN, J. C., BAER, J., & COLE, J. C. (2009) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.2009.tb01316.x · Cited by 210
Self-citationShaw, A., Kapnek, M., & Morelli, N. A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.678033 · Cited by 71
Social network site changes over time: The case of MySpace
Wilkinson, D., & Thelwall, M. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21397 · Cited by 29
The development of augmented reality framework to enhance students’ motivation
Zain, F. M., Kasim, M., Rahman, F. A., & Yaakob, M. F. M. (2026) · Journal of Education and Learning (EduLearn) · doi:10.11591/edulearn.v20i1.21294
Metadata
- Authors
- Kaufman, J. C.
- Venue
- Applied Cognitive Psychology
- Publisher
- Wiley
- Published
- 2006
- Volume
- 20
- Issue
- 8
- Pages
- 1065-1082
- ISSN
- 0888-4080 (ISSN-L)
- 1099-0720
- OpenAlex
- W2103426848
- Cited by
- 254
- References
- 4
- FWCI
- 3.63
- Type
- journal article
- Language
- en
- Open access
- closed
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