The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Four latent traits of emotional experience and their involvement in well-being, coping, and attributional style
Abstract
In two samples of college students (Ns = 116 and 141), this research investigated the ways in which individuals differ in their experience of emotion. Four latent traits emerged from scales assessing such differences—Intensity, Attention, Expression, and Clarity. In both samples, these latent traits were found to be involved in reports of personality, well-being, coping, and explanatory style. Clarity was positively associated with measures of positive well-being and negatively associated with measures of negative well-being. Individuals who experience intense emotions (Intensity), who attend to them often (Attention), or who notably express them (Expression), reported coping by focusing on and venting their emotions and by seeking social support. Individuals who are adept at identifying their emotions (Clarity) reported engaging in active, planful coping and in positive reinterpretations of events. Individuals high on Clarity made self-affirming attributions for good events.
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Cites
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Cited by
Relations between personality and coping: A meta-analysis.
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Delineating components of emotion and its dysregulation in anxiety and mood psychopathology
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Leadership, affect and emotions: A state of the science review
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Affective traits in schizophrenia and schizotypy
Horan, W. P., Blanchard, J. J., Clark, L. A., & Green, M. F. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn083 · Cited by 290
Affect and Retail Shopping Behavior: Understanding the Role of Mood Regulation and Regulatory Focus
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Metadata
- Authors
- Gohm, C. L., & Clore, G. L.
- Venue
- Cognition and Emotion
- Publisher
- Informa UK Limited
- Published
- 2002-07
- Volume
- 16
- Issue
- 4
- Pages
- 495-518
- ISSN
- 0269-9931 (ISSN-L)
- 1464-0600
- OpenAlex
- W2087280742
- Cited by
- 354
- References
- 14
- FWCI
- 11.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.