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Cited by 354

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

Gohm, Carol L., Clore, Gerald L.·2002·Cognition and Emotion

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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Crossref · 10.1080/02699930143000374

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Metadata

Authors
Gohm, C. L., & Clore, G. L.
Venue
Cognition and Emotion
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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CoChat. (2026). Citation check: Four latent traits of emotional experience and their involvement in well-being, coping, and attributional style. https://app.cochat.ai/papers/10.1080/02699930143000374
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Gohm, C. L., & Clore, G. L. (2002). Four latent traits of emotional experience and their involvement in well-being, coping, and attributional style. Cognition and Emotion. https://doi.org/10.1080/02699930143000374

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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.