Sources of social support and burnout: A meta-analytic test of the conservation of resources model.

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Abstract

The Conservation of Resources (COR) model of burnout (Hobfoll & Freedy, 1993) suggests that resources are differentially related to burnout dimensions. In this paper, I provide a meta-analysis of the social support and burnout literature, finding that social support, as a resource, did not yield different relationships across the 3 burnout dimensions (emotional exhaustion, depersonalization, and personal accomplishment), challenging the COR model. However, when considering the source of the social support (work vs. nonwork) as a moderator, I found that work-related sources of social support, because of their more direct relationship to work demands, were more closely associated with exhaustion than depersonalization or personal accomplishment; the opposite pattern was found with nonwork sources of support. I discuss the implications of this finding in relation to the COR model and suggest future research directions to clarify the relationship between resources and burnout dimensions. (c) 2006 APA, all rights reserved

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Conservation of resources: A new attempt at conceptualizing stress.

Stevan E. Hobfoll (1989)

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Judgment under Uncertainty: Heuristics and Biases.

A Tversky, D Kahneman (1974)

This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and (iii) adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty.