Date

12-19-2023

Department

School of Music

Degree

Doctor of Music Education (DME)

Chair

Brian D. Stiffler

Keywords

impostor phenomenon, mindset, in-service music educators, self-doubt

Disciplines

Education | Music

Abstract

Impostor Phenomenon (IP) is a psychological construct that affects many high-achieving professionals to doubt their competence, intelligence, and self-worth. As a result, many with IP will overwork and self-sabotage as they constantly feel like a fraud within their profession or daily lives. Despite previous literature and research with pre-service and graduate students in music education, more data on the IP of In-Service Music Educators still needs to be collected. Therefore, the purpose of the current study is to examine the provident mindset of IP among In-Service Music Educators. A quantitative MANOVA design method evaluated this phenomenon. The study collected quantitative data from (N = 5000 / n = 100), in-service kindergarten through twelfth-grade music educators from institutions across the United States, determining the extent to which they experience IP. Participants completed the Clance Impostor Phenomenon Scale (CIPS), the In-Service Music Educator Clance Impostor Phenomenon Scale (IME CIPS), and accompanying demographics to determine IP experiences. The causal-comparative quantitative method studied participants using both surveys to gain an in-depth understanding of their IP experiences as In-service Music Educators. The study used quantitative CIPS and IME CIPS findings to demonstrate the impact of IP within In-Service Music Educators and establish similarities between general and domain-specific IP within in-service music teaching. The analysis results indicated that the combination of general IP (as measured by the CIPS) and In-Service Music Educator domain-specific IP (measured by the IME CIPS) was a significant predictor of IP. Moreover, implications from this study demonstrated that In-Service Music Educators have a higher provident mindset of IP based on demographic variables, such as race, gender, age, teaching placement, area of specialty, and earned degree level.

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