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Appraisal Determinants of Emotions: Constructing a More Accurate and Comprehensive Theory

Roseman, Ira J.·1996·Cognition & Emotion

Abstract

In order to move toward a more accurate, complete, and integrative theory of the causes of emotions, empirical evidence relevant to a recently proposed appraisal theory was examined, and hypotheses from several alternative appraisal theories were compared and tested. Given questions that focused on the cognitive causes of emotions rather than their phenomenological contents, 182 subjects rated the appraisal determinants of emotion experiences that they recalled. Results suggest that appraisals of unexpectedness (not unexpected/unexpected), situational state (motive-inconsistent/motiveconsistent), motivational state (aversive/appetitive), probability (uncertain/ certain), control potential (low/high), problem source (non-characterological/characterological factors), and agency (circumstances/other person/self), differentiate a large number of widely-discussed emotions. These results are used to formulate a revised, empirically grounded, and more comprehensive model that specifies which appraisals cause 17 different emotions.

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Metadata

Authors
Roseman, I. J.
Venue
Cognition & Emotion
Published
1996-05
Volume
10
Issue
3
Pages
241-278
ISSN
  • 0269-9931 (ISSN-L)
  • 1464-0600
OpenAlex
W2042863830
Cited by
923
References
6
FWCI
15.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Appraisal Determinants of Emotions: Constructing a More Accurate and Comprehensive Theory. https://app.cochat.ai/papers/10.1080/026999396380240
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Roseman, I. J. (1996). Appraisal Determinants of Emotions: Constructing a More Accurate and Comprehensive Theory. Cognition & Emotion. https://doi.org/10.1080/026999396380240

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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.