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解开戈尔迪之结:探索韧性的法则网络。

Untying a Gordian knot: Exploring the nomological network of resilience.

机构信息

V.I.E. (Valorizzazione Innovazione Empowerment) Spin-off dell'Università degli Studi di Genova, Genova, Italy.

Institute for Educational Technology, National Research Council of Italy, Genova, Italy.

出版信息

J Pers. 2023 Jun;91(3):823-837. doi: 10.1111/jopy.12778. Epub 2022 Oct 10.

Abstract

OBJECTIVE

This study investigates the relations of resilience with coping, personality traits, emotional intelligence, sense of coherence and maladaptive personality traits.

METHOD

The study employs network analysis techniques to the study of resilience, showcasing how these methods can estimate a model that is simple to interpret while still retaining the most important relations and that can even suggest the direction of causality despite using a cross-sectional design (N = 305).

RESULTS

The results highlight several important variables that should be considered for fostering resilience, foremost among them the use of positive reappraisal coping, sense of coherence, and the social management aspect of emotional intelligence.

CONCLUSIONS

The results successfully replicated known associations between resilience and other psychological constructs (emotional intelligence, personality, sense of coherence, coping) and shed light on relations between resilience and maladaptive personality traits. Network analysis considered all these constructs together, so as to take into account the complex pattern of relations between them and offer a bird's eye view of the whole network of associations centred on resilience. The resulting model is parsimonious and easy to interpret while still striving to preserve the complexity of the variables' interrelations.

摘要

目的

本研究探讨了韧性与应对方式、人格特质、情绪智力、心理一致感和适应不良人格特质的关系。

方法

本研究采用网络分析技术研究韧性,展示了这些方法如何在保持最重要关系的同时,估计一个易于解释的模型,甚至可以在使用横断面设计(N=305)的情况下提示因果关系的方向。

结果

结果突出了一些重要的变量,这些变量应被考虑用于培养韧性,其中最重要的是使用积极的重新评估应对方式、心理一致感和情绪智力的社会管理方面。

结论

结果成功复制了韧性与其他心理结构(情绪智力、人格、心理一致感、应对方式)之间的已知关联,并揭示了韧性与适应不良人格特质之间的关系。网络分析将所有这些结构一起考虑,以考虑它们之间复杂的关系模式,并提供一个以韧性为中心的整个关联网络的鸟瞰图。所得到的模型简洁且易于解释,同时仍努力保留变量相互关系的复杂性。

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