Impostor fears and perfectionistic concern over mistakes
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In predominantly White samples, IP has been linked to more social and performance anxiety, more perfectionistic concerns about mistakes, and lower self-esteem.
“IP has been linked to numerous indices of negative psychological adjustment outcomes including increases in social and performance anxiety (Chrisman et al., 1995), perfectionistic concerns of making mistakes (Thompson et al., 2000), and lower self-esteem (Sonnak & Towell, 2001).”
From Impostor Phenomenon and Psychological Well-Being: The Moderating Roles of John Henryism and School Racial Composition Among Black College Students (2020) · cites this paper as Thompson et al., 2000
Cites
The dimensions of perfectionism
Frost, R. O., Marten, P., Lahart, C., & Rosenblate, R. (1990) · Cognitive Therapy and Research · doi:10.1007/bf01172967 · Cited by 4,279 · see citing works
State-Trait Anxiety Inventory for Adults
Spielberger, C. D. (2012) · PsycTESTS Dataset · doi:10.1037/t06496-000 · Cited by 3,479 · see citing works
A brief version of the Fear of Negative Evaluation Scale
Leary, M. R. (1983) · Personality and Social Psychology Bulletin · doi:10.1177/0146167283093007 · Cited by 2,178 · see citing works
Reactions to mistakes among subjects high and low in perfectionistic concern over mistakes
Frost, R. O., Turcotte, T. A., Heimberg, R. G., Mattia, J. I., Holt, C. S., & Hope, D. A. (1995) · Cognitive Therapy and Research · doi:10.1007/bf02229694 · Cited by 128 · see citing works
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Cokley, K., Smith, L., Bernard, D., Hurst, A., Jackson, S., Stone, S., Awosogba, O., Saucer, C., Bailey, M., & Roberts, D. (2017) · Journal of Counseling Psychology · doi:10.1037/cou0000198 · Cited by 241 · see citing works
Imposter syndrome among Russian students: The link between perfectionism and psychological distress
Wang, K. T., Sheveleva, M. S., & Permyakova, T. M. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.02.005 · Cited by 106 · see citing works
Racial Identity, Self-Esteem, and the Impostor Phenomenon Among African American College Students
Lige, Q. M., Peteet, B. J., & Brown, C. M. (2017) · Journal of Black Psychology · doi:10.1177/0095798416648787 · Cited by 93 · see citing works
Bernard, D. L., Jones, S. C. T., & Volpe, V. V. (2020) · Journal of Black Psychology · doi:10.1177/0095798420924529 · Cited by 66 · see citing works
“, 1995), perfectionistic concerns of making mistakes (Thompson et al., 2000), and lower self-esteem (Sonnak & Towell, 2001).”
BackgroundResultInfluential
- Authors
- Thompson, T., Foreman, P., & Martin, F.
- Affiliations
- University of Tasmania (AU)
- Corresponding author
- Thompson, Ted
- ORCID
- Martin, Frances
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2000-10
- Volume
- 29
- Issue
- 4
- Pages
- 629-647
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W1982120102
- Cited by
- 179
- References
- 4
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 18 · 2023: 24 · 2022: 11 · 2021: 14 · 2020: 30 · 2019: 10 · 2018: 9 · 2017: 6 · 2016: 5 · 2015: 4 · 2014: 6 · 2013: 2 · 2012: 2
- FWCI
- 0.45
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- Personality and Individual Differences (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Perfectionism, Procrastination, Anxiety Studies
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- impostor syndrome, perfectionism, concern over mistakes, anxiety, perceived control, negative affect, Stroop task, performance evaluation, fraud
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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