Webb, T.L. orcid.org/0000-0001-9320-0068, Lindquist, K.A., Jones, K. et al. (2 more authors) (2017) Situation selection is a particularly effective emotion regulation strategy for people who need help regulating their emotions. Cognition and Emotion, 32 (2). pp. 231-248. ISSN 0269-9931
Abstract
Situation selection involves choosing situations based on their likely emotional impact and may be less cognitively taxing or challenging to implement compared to other strategies for regulating emotion, which require people to regulate their emotions “in the moment”; we thus predicted that individuals who chronically experience intense emotions or who are not particularly competent at employing other emotion regulation strategies would be especially likely to benefit from situation selection. Consistent with this idea, we found that the use of situation selection interacted with individual differences in emotional reactivity and competence at emotion regulation to predict emotional outcomes in both a correlational (Study 1; N = 301) and an experimental field study (Study 2; N = 125). Taken together, the findings suggest that situation selection is an effective strategy for regulating emotions, especially for individuals who otherwise struggle to do so.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of a paper subsequently published in Cognition and Emotion. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Emotion regulation; situation selection; reappraisal; suppression |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Apr 2017 13:56 |
Last Modified: | 13 Jul 2023 11:01 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/02699931.2017.1295922 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115088 |