Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6788472 | Burnout Research | 2017 | 38 Pages |
Abstract
The study showed that the use of cut-off scores can indeed be misleading as conclusions may be very different according to the cut-off used. Cluster analysis allowed us to highlight four distinct burnout risk profiles: “High risk of burnout”, “Risk of burnout through high emotional exhaustion”, “Risk of burnout through low personal accomplishment”, and “No risk of burnout”. Several variables appeared as predictors of occupational burnout such as working in a company or having several different types of contracts, showing the discriminative power of clusters. Finally, a discussion is proposed on the meaning of the identified clusters and the use of this analysis in research and practice.
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Authors
Sophie Berjot, Emin Altintas, Elisabeth Grebot, François-Xavier Lesage,