Abstract
Individuals who experience the imposter phenomenon (IP) have
feelings of self-doubt and are concerned that they will be exposed as
frauds. Previous research has indicated that IP is associated with
anxiety, depression and low self-esteem, and university students are
thought to be particularly susceptible to IP. This study investigated
the relationship between IP and self-efficacy, maladaptive perfectionism
and happiness in university students, and examined whether these
variables differ between females and males. The study also examined
whether IP was associated with belonging and perceived levels of
academic competition. Participants (N = 261) completed the Clance Imposter Phenomenon Scale (CIPS), New General Self-Efficacy (NGSE), Big Three Perfectionism Scale – Short Form (BTPS-SF), Oxford Happiness Questionnaire
(OHQ), plus measures of belonging and perceived competition. As
predicted, CIPS scores correlated negatively with NGSE and OHQ and
positively with BTPS-SF in both sexes. Females scored higher, on
average, than males on CIPS and BTPS-SF, and the gender difference in
CIPS remained after indirect effects of perfectionism were removed.
Neither belonging nor competition correlated with CIPS scores. The
negative relationship between perfectionism and happiness was fully
mediated by imposterism, which suggests that designing interventions
that reduce IP could positively enhance student wellbeing.
Original language | English |
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Pages (from-to) | 5153–5162 |
Journal | Current Psychology |
Volume | 43 |
Early online date | 8 May 2023 |
DOIs | |
Publication status | Published - Feb 2024 |
Keywords
- Imposter syndrome
- Fraudulence
- Perfectionism
- Self-efficacy
- Happiness
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Dive into the research topics of 'The imposter phenomenon and its relationship with self-efficacy, perfectionism and happiness in university students'. Together they form a unique fingerprint.Datasets
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The ‘imposter phenomenon’ and its relationship with perfectionism, self-efficacy and belonging in university students (dataset)
Pakozdy, C. (Creator), Askew, J. (Data Collector), Dyer, J. (Data Collector), Gately, P. (Data Collector), Martin, L. (Contributor), Mavor, K. (Contributor) & Brown, G. R. (Supervisor), University of St Andrews, 24 May 2023
DOI: 10.17630/f93ea09a-e913-44f9-9214-9559b6238ea0
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