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The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.

The Functional Theory of Counterfactual Thinking

Open access
Epstude, Kai, Roese, Neal J.·2008·Personality and Social Psychology Review

Abstract

Counterfactuals are thoughts about alternatives to past events, that is, thoughts of what might have been. This article provides an updated account of the functional theory of counterfactual thinking, suggesting that such thoughts are best explained in terms of their role in behavior regulation and performance improvement. The article reviews a wide range of cognitive experiments indicating that counterfactual thoughts may influence behavior by either of two routes: a content-specific pathway (which involves specific informational effects on behavioral intentions, which then influence behavior) and a content-neutral pathway (which involves indirect effects via affect, mind-sets, or motivation). The functional theory is particularly useful in organizing recent findings regarding counterfactual thinking and mental health. The article concludes by considering the connections to other theoretical conceptions, especially recent advances in goal cognition.

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Metadata

Authors
Epstude, K., & Roese, N. J.
Venue
Personality and Social Psychology Review
Published
2008-05
Volume
12
Issue
2
Pages
168-192
ISSN
  • 1088-8683 (ISSN-L)
  • 1532-7957
OpenAlex
W2157050842
Cited by
853
References
256
FWCI
18.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Functional Theory of Counterfactual Thinking. https://app.cochat.ai/papers/10.1177/1088868308316091
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Epstude, K., & Roese, N. J. (2008). The Functional Theory of Counterfactual Thinking. Personality and Social Psychology Review. https://doi.org/10.1177/1088868308316091

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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.