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Cited by 324

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Moving Beyond Deliberative Control of Impulses: The Effect of Construal Levels on Evaluative Associations in Self-Control Conflicts

Fujita, Kentaro, Han, H. Anna·2009·Psychological Science

Abstract

Many prominent models propose that self-control requires deliberative control of impulses. We propose that people's subjective mental construals of events can alter temptation impulses without requiring conscious deliberation. Research has indicated that high-level construals (subjective mental representations that capture the core, essential, and abstract features of events) lead to greater self-control than low-level construals (representations that capture secondary, incidental, and concrete features). We demonstrate that higher-level construals make it easier for people to associate temptations with negativity, as measured by the Implicit Association Test, and that, in turn, these construal-dependent changes in evaluative associations promote self-control. These findings indicate that subjective construals can influence self-control without conscious deliberation.

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Metadata

Authors
Fujita, K., & Han, H. A.
Venue
Psychological Science
Published
2009-07
Volume
20
Issue
7
Pages
799-804
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
OpenAlex
W2162932673
Cited by
324
References
11
FWCI
14.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Moving Beyond Deliberative Control of Impulses: The Effect of Construal Levels on Evaluative Associations in Self-Control Conflicts. https://app.cochat.ai/papers/10.1111/j.1467-9280.2009.02372.x
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Fujita, K., & Han, H. A. (2009). Moving Beyond Deliberative Control of Impulses: The Effect of Construal Levels on Evaluative Associations in Self-Control Conflicts. Psychological Science. https://doi.org/10.1111/j.1467-9280.2009.02372.x

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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.