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Cited by 414

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Relations between Affect and Personality: Support for the Affect-Level and Affective-Reactivity Views

Gross, James J., Sutton, Steven K., Ketelaar, Timothy·1998·Personality and Social Psychology Bulletin

Abstract

A consensus has emerged that neuroticism is associated with negative affect and extraversion is associated with positive affect. However, it is unclear whether these personality traits are associated with magnitude of affective reactions (Affective-Reactivity view), with levels of tonic affect (Affect-Level view), or with both. To assess these views, affective state was manipulated using film clips, measured at multiple time points and related to measures of neuroticism and extraversion (H. J. Esyenck) and dispositional negative affect and positive affect (Watson, Clark, & Tellegen). Results supported both Affective-Reactivity and Affect-Level views, and this support was more robust for neuroticism and extraversion than for dispositional negative affect and positive affect.

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Metadata

Authors
Gross, J. J., Sutton, S. K., & Ketelaar, T.
Venue
Personality and Social Psychology Bulletin
Published
1998-03
Volume
24
Issue
3
Pages
279-288
ISSN
  • 0146-1672 (ISSN-L)
  • 1552-7433
OpenAlex
W2123963312
Cited by
414
References
7
FWCI
10.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Relations between Affect and Personality: Support for the Affect-Level and Affective-Reactivity Views. https://app.cochat.ai/papers/10.1177/0146167298243005
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Gross, J. J., Sutton, S. K., & Ketelaar, T. (1998). Relations between Affect and Personality: Support for the Affect-Level and Affective-Reactivity Views. Personality and Social Psychology Bulletin. https://doi.org/10.1177/0146167298243005

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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.