A network approach to affect regulation dynamics and personality trait-induced variations: Extraversion and neuroticism moderate reciprocal influences between affect and affect regulation strategies: Supplementary materials

Abstract : The objectives of the present study were twofold. First, we tested a new approach to affect regulation dynamics, conceptualized as a network made up of the reciprocal influences that affect and affect regulation strategies constantly exert on each other. Second, we attempted to gain a better understanding of these dynamics by examining how they vary according to broad personality traits. To this end, we adopted an experience sampling method, involving five daily assessments over a 2-week period. In each assessment, participants indicated their current affective experience and the way they had implemented five well-known affect regulation strategies (i.e., appreciation, positive reappraisal, distraction, expressive suppression, and rumination) since the previous assessment. At the sample level, the network of affect regulation dynamics was characterized by positive feedback loops between positive affect and so-called broadminded strategies, and between negative affect and narrow-minded strategies. The form of this network varied according to levels of extraversion and neuroticism. Our findings are discussed in the light of current knowledge about personality and affect regulation.
Type de document :
Pré-publication, Document de travail
2017
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https://hal.archives-ouvertes.fr/hal-01449981
Contributeur : Jean-Baptiste Pavani <>
Soumis le : lundi 6 février 2017 - 11:11:32
Dernière modification le : vendredi 29 juin 2018 - 11:28:03
Document(s) archivé(s) le : dimanche 7 mai 2017 - 12:16:03

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  • HAL Id : hal-01449981, version 1

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Jean-Baptiste Pavani, Sarah Le Vigouroux, Jean-Luc Kop, Anne Congard, Bruno Dauvier. A network approach to affect regulation dynamics and personality trait-induced variations: Extraversion and neuroticism moderate reciprocal influences between affect and affect regulation strategies: Supplementary materials. 2017. 〈hal-01449981〉

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