法国心理学家的职业倦怠风险概况

Sophie Berjot , Emin Altintas , Elisabeth Grebot , François-Xavier Lesage
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引用次数: 37

摘要

本研究的目的是:1)表明,使用文献中不同的截止分数可能导致错误的结论,增加新兴文献,突出与使用相关的问题;2)提出一种替代技术-聚类分析-来评估倦怠风险,并确定有倦怠风险的档案。664名法国心理学家使用法加版的马斯拉克职业倦怠量表(Dion &Tessier, 1994)。我们的参与者使用文献中可用的不同截止分数并使用聚类分析方法在MBI的每个维度上被分类为高。研究表明,使用截止分数确实会产生误导,因为根据使用的截止分数,结论可能会非常不同。聚类分析使我们能够突出四种不同的倦怠风险概况:“高倦怠风险”、“高情绪耗竭的倦怠风险”、“低个人成就的倦怠风险”和“无倦怠风险”。在同一家公司工作或拥有多种不同类型的合同等多个变量作为职业倦怠的预测变量出现,显示出集群的判别能力。最后,对已识别聚类的意义及其在研究和实践中的应用进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Burnout risk profiles among French psychologists

The aims of this study were 1) to show that the use of different cut-off scores available in the literature can lead to erroneous conclusions, adding to the emerging literature highlighting the problems associated with its use, and 2) to propose an alternative technique − Cluster Analysis − to assess the risk of burnout as well as to identify profiles at risk of burnout.

Burnout was measured among 664 French psychologists using the French-Canadian version of the Maslach Burnout Inventory (Dion & Tessier, 1994). Our participants were classified as high on each dimension of the MBI using different cut-off scores available in the literature and using the Cluster Analysis method.

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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