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Correlation between Self-Esteem, Self-Efficacy, Personality, Fear of Success, and Self-Defeating Behaviors of Performing Artists

There is substantial evidence that self-defeating behaviors appear regularly among populations considered psychologically stable. While there has been abundant research on self-esteem, self-efficacy, personality traits, and fear of success as independent constructs, little is known regarding the combined effect of these constructs on the self-defeating behaviors of performing artists. Examining self-defeating behaviors among performing artists is significant because this population is susceptible to self-sabotaging behaviors, underscoring the need to understand their behaviors. The purpose of this quantitative correlational study was to examine whether self-esteem, self-efficacy, personality, and fear of success predicted self-defeating behaviors among performing artists. Bandura's self-efficacy theory and the Baumeister self-esteem theory were used as the theoretical foundations for the study. A cross-sectional self-administered survey was used to collect data about how self-esteem, self-efficacy, personality, and fear of success affected the self-defeating behavior of performing artists from a convenience sample of 100 performing artists in New York City. The following assessment tools were used: Rosenberg Self-Esteem Scale, General Perceived Self-Efficacy Scale, Big Five Inventory, Fear of Success Scale, and the Lay Procrastination Scale. Results indicated a significant relationship between the self-efficacy, self-esteem, personality, and fear of success on self-defeating behavior in performance artists. The implications for positive social change include the potential to help current and future performing artists recognize and manage their self-defeating behaviors, thus preventing disengagement at work, depression, and frustration.

Identiferoai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-1878
Date01 January 2015
CreatorsBramante, Albert C.
PublisherScholarWorks
Source SetsWalden University
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceWalden Dissertations and Doctoral Studies

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