Using factor analysis to validate the Clance Impostor Phenomenon Scale in sample of science, technology, engineering and mathematics doctoral students
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Impostor Phenomenon Measurement Scales: A Systematic Review
Mak, K. K. L., Kleitman, S., & Abbott, M. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00671 · Cited by 235 · 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
“This summative approach is supported by evidence that the one-factor model may be the most parsimonious for diverse samples (e.g., Simon & Choi, 2017).”
Method
- Authors
- Simon, M., & Choi, Y.-J.
- Affiliations
- University of Alabama (US)
- Corresponding author
- Simon, Marsha
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 121
- Pages
- 173-175
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W2762641588
- Cited by
- 56
- References
- 0
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 7 · 2023: 11 · 2022: 8 · 2021: 9 · 2020: 6 · 2019: 2 · 2018: 2
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personality and Individual Differences (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Perfectionism, Procrastination, Anxiety Studies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- impostor syndrome, Clance Impostor Phenomenon Scale, factor structure, scale validation, doctoral students, one-factor model, correlated residuals
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