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Perfectionism, burnout, and motivation in dance: A replication and test of the 2 × 2 model of perfectionism

Nordin-Bates, Sanna M., Raedeke, Thomas D. and Madigan, Daniel J. ORCID logoORCID: https://orcid.org/0000-0002-9937-1818 (2017) Perfectionism, burnout, and motivation in dance: A replication and test of the 2 × 2 model of perfectionism. Journal of Dance Medicine & Science, 21 (3). pp. 115-122.

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Abstract

The relationships between multidimensional perfectionism, burnout, and motivation were examined. In so doing, this study aimed to replicate and extend the study by Cumming and Duda (2012). Ninety-one ballet dancers completed questionnaires assessing the target constructs. Using cluster analysis, four profiles emerged that replicated Cumming and Duda’s findings and generally supported Gaudreau and Thompson's (2010) 2x2 model of perfectionism. As such, these profiles represented pure personal standards perfectionism, mixed perfectionism, pure evaluative concerns perfectionism, and non-perfectionism. Extending previous literature, the four profiles were then compared on a range of burnout symptoms and motivational regulations. It was found that the four clusters differed significantly on these constructs, in a manner partly supportive of the hypotheses associated with the 2x2 model of perfectionism. In particular, our results reflect and extend those of Cumming and Duda, in that mixed perfectionism and pure evaluative concerns perfectionism did not differ on any of the measures. Thus, the higher personal standards of dancers exhibiting mixed perfectionism did not appear to be associated with better functioning than that experienced by dancers with pure evaluative concerns perfectionism. Altogether, the study extends our current understanding of perfectionism in dance and its potential effects, including those on burnout and motivation.

Item Type: Article
Status: Published
DOI: 10.12678/1089-313X.21.3.115
Subjects: B Philosophy. Psychology. Religion > BF Psychology > BF636 Applied psychology
School/Department: School of Science, Technology and Health
URI: https://ray.yorksj.ac.uk/id/eprint/1967

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