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Cited by 184

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Autobiographical memory specificity and affect regulation: An experimental approach.

Open access
Raes, Filip, Hermans, Dirk, de Decker, An, Eelen, Paul, Williams, J. Mark G.·2003·Emotion

Abstract

This study investigated J. M. G. Williams's (1996) affect-regulation hypothesis that level of specificity of autobiographical memory (AM) is used to minimize negative affect. It was found that a negative event leads to more reports of subjective stress in high- as compared with low-specific participants. Also, afterward, high-specific participants rated their unprompted memories for the event as more unpleasant. The results indicate that, relative to high specificity, being less specific in the retrieval of AMs is associated with less affective impact of a negative event. Results are discussed within the affect-regulation model. It is suggested that future research take a more functional perspective on AM specificity.

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Crossref · 10.1037/1528-3542.3.2.201

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Metadata

Authors
Raes, F., Hermans, D., de Decker, A., Eelen, P., & Williams, J. M. G.
Venue
Emotion
Published
2003
Volume
3
Issue
2
Pages
201-206
ISSN
  • 1528-3542 (ISSN-L)
  • 1931-1516
OpenAlex
W2044053935
Cited by
184
References
2
FWCI
15.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Autobiographical memory specificity and affect regulation: An experimental approach. https://app.cochat.ai/papers/10.1037/1528-3542.3.2.201
The paper
Raes, F., Hermans, D., de Decker, A., Eelen, P., & Williams, J. M. G. (2003). Autobiographical memory specificity and affect regulation: An experimental approach. Emotion. https://doi.org/10.1037/1528-3542.3.2.201

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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.