2017
DOI: 10.1002/per.2109
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A Network Approach to Affect Regulation Dynamics and Personality Trait–Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

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 assess… Show more

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Cited by 44 publications
(80 citation statements)
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References 60 publications
(158 reference statements)
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“…Furthermore, these approaches were entirely theoretical and could therefore not be applied as psychometric models of emotions. Finally, emotions were assessed as part of networks in psychopathology research (e.g., Bringmann et al, 2016;Pe et al, 2015;Van de Leemput et al, 2014), attitudes (Dalege et al, 2016(Dalege et al, , 2017, aesthetics (Hosoya et al, 2017), and personality (e.g., Pavani, Le Vigouroux, Kop, Congard, & Dauvier, 2017), and mixed emotions were investigated with the help of co-occurrence networks of emotions (e.g., Moeller, Ivcevic, Brackett, & White, 2018). However, in these studies, emotions were treated as single variables and not conceptualized via the causal interaction of multiple emotion components as we propose.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, these approaches were entirely theoretical and could therefore not be applied as psychometric models of emotions. Finally, emotions were assessed as part of networks in psychopathology research (e.g., Bringmann et al, 2016;Pe et al, 2015;Van de Leemput et al, 2014), attitudes (Dalege et al, 2016(Dalege et al, , 2017, aesthetics (Hosoya et al, 2017), and personality (e.g., Pavani, Le Vigouroux, Kop, Congard, & Dauvier, 2017), and mixed emotions were investigated with the help of co-occurrence networks of emotions (e.g., Moeller, Ivcevic, Brackett, & White, 2018). However, in these studies, emotions were treated as single variables and not conceptualized via the causal interaction of multiple emotion components as we propose.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, reappraisal may be less uniformly triggered by negative emotions (cf. Pavani et al, 2017) and its affective consequences may be more context-dependent (Ford & Troy, 2019;Haines et al, 2016), making it more difficult for people to accurately report how much they habitually use reappraisal on global self-report measures.…”
Section: Correspondence Between Global and Momentary Self-reported Emmentioning
confidence: 99%
“…In contrast, when people are asked to summarize their emotional experiences over long periods or to describe how they feel in general, they instead rely on abstract beliefs about the self (i.e., semantic knowledge; Robinson & Clore, 2002; see also Conner & Barrett, 2012). Given that daily emotion regulation attempts are closely tied to fluctuations in momentary feelings (see Brans et al, 2013;Pavani et al, 2017), people's global and momentary reports of emotion regulation may also be based on different sources of information. From this perspective, we would predict little correspondence between global and momentary self-reports of emotion regulation, which draw on decontextualized knowledge about the self versus context-specific representations of momentary experience, respectively.…”
mentioning
confidence: 99%
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“…Therefore, the lack of this flexibility could be reflected in a diminishing beneficial effect of adaptive strategies and an increasing debilitating effect of maladaptive strategies. The former was noted in our study; however, how it translates into escalation of symptomology requires observation of trajectories within longer periods of time (Kuppens et al, 2012;Pavani et al, 2017).…”
Section: Discussionmentioning
confidence: 57%