AI Article Synopsis

  • The study examines how positive and negative emotions co-occur within individuals, rather than just looking at correlations between people.
  • Two approaches were used: a large survey with high school students on their emotions and a real-time emotion tracking method.
  • Results showed that while positive and negative emotions are negatively correlated overall, they frequently occur together in individuals, suggesting a more complex emotional landscape than typically understood.

Article Abstract

This study revisits the structure of emotions by using a co-occurrence network analysis. While previous studies have examined the structure of emotions primarily through interindividual correlations, we investigated how often and which specific positive and negative emotions occur together within individuals. Two studies were conducted with high school students, one (N = 21,678) using retrospective emotion measures (open-ended questions and 28 rated items) and the other (N = 472) using in-the-moment emotion measures (experience sampling). As in previous studies, positive and negative emotion ratings were negatively correlated across individuals, and this negative correlation became stronger when measurement error was controlled. Nevertheless, network analyses of both the open-ended responses and of emotion rating scales found frequent co-occurrences between both positive and negative emotions within individuals and within situations. Across all networks, happy, tired, and stressed were among the most frequent emotions that occurred together with emotions of opposite valence. The network analyses presented in this article open new directions to the long-lasting debate about the structure of emotions by revealing co-occurrences that interindividual correlations would not show. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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http://dx.doi.org/10.1037/emo0000419DOI Listing

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