2023
DOI: 10.1027/1015-5759/a000786
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Understanding the Clance Impostor Phenomenon Scale Through the Lens of a Bifactor Model

Abstract: The Clance Impostor Phenomenon Scale (CIPS) is the most frequently used self-report instrument for the assessment of the Impostor Phenomenon (IP). The literature provided mixed findings on the factorial structure of the CIPS. We extend previous work on the German-language CIPS by testing a bifactor exploratory factor model in two large and independently collected samples ( Ntotal = 1,794). Our analyses show that the bifactor model comprising a general IP factor and three group factors (labeled Luck, Fear of Fa… Show more

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Cited by 5 publications
(1 citation statement)
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References 23 publications
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“…Furthermore, the initial development of the four older scales was rooted in a unidimensional framework based on specific conceptualizations of IP by their creators. However, subsequent analyses by other researchers, such as Chrisman et al (1995), Wolf (2016), andProyer (2023) demonstrated that, for instance, a 3-factor solution provided the best model fit for the CIPS in both English and German versions. Nevertheless, the number of factors varied across different studies, with a 2-factor model identified as the most fitting by French et al (2008) and Fujie (2010), while others, including Jöstl et al (2012) and Simon and Choi (2018), argued for a unidimensional factor structure as the most appropriate.…”
Section: Measuring Ipmentioning
confidence: 92%
“…Furthermore, the initial development of the four older scales was rooted in a unidimensional framework based on specific conceptualizations of IP by their creators. However, subsequent analyses by other researchers, such as Chrisman et al (1995), Wolf (2016), andProyer (2023) demonstrated that, for instance, a 3-factor solution provided the best model fit for the CIPS in both English and German versions. Nevertheless, the number of factors varied across different studies, with a 2-factor model identified as the most fitting by French et al (2008) and Fujie (2010), while others, including Jöstl et al (2012) and Simon and Choi (2018), argued for a unidimensional factor structure as the most appropriate.…”
Section: Measuring Ipmentioning
confidence: 92%