Literature DB >> 27141038

Assessing Temporal Emotion Dynamics Using Networks.

Laura F Bringmann1, Madeline L Pe1, Nathalie Vissers1, Eva Ceulemans1, Denny Borsboom2, Wolf Vanpaemel1, Francis Tuerlinckx1, Peter Kuppens1.   

Abstract

Multivariate psychological processes have recently been studied, visualized, and analyzed as networks. In this network approach, psychological constructs are represented as complex systems of interacting components. In addition to insightful visualization of dynamics, a network perspective leads to a new way of thinking about the nature of psychological phenomena by offering new tools for studying dynamical processes in psychology. In this article, we explain the rationale of the network approach, the associated methods and visualization, and illustrate it using an empirical example focusing on the relation between the daily fluctuations of emotions and neuroticism. The results suggest that individuals with high levels of neuroticism had a denser emotion network compared with their less neurotic peers. This effect is especially pronounced for the negative emotion network, which is in line with previous studies that found a denser network in depressed subjects than in healthy subjects. In sum, we show how the network approach may offer new tools for studying dynamical processes in psychology.

Entities:  

Keywords:  emotion dynamics; intensive longitudinal data; multilevel vector autoregressive model; networks

Mesh:

Year:  2016        PMID: 27141038     DOI: 10.1177/1073191116645909

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  32 in total

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8.  Affective family interactions and their associations with adolescent depression: A dynamic network approach.

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10.  Adolescent Emotion Network Dynamics in Daily Life and Implications for Depression.

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