Feelings of vulnerability in response to threatening messages: Effects of self-affirmation
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With their self-integrity less on trial, self-affirmed individuals can better confront threatening information and evaluate it in a manner less tethered to their needs for self-integrity.
“With their self-integrity less on trial, self-affirmed individuals can better confront threatening information and evaluate it in a manner less tethered to their needs for self-integrity (Klein et al. 2011).”
From The Psychology of Change: Self-Affirmation and Social Psychological Intervention (2014) · cites this paper as Klein et al. 2011
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- Authors
- Klein, W. M. P., Harris, P. R., Ferrer, R. A., & Zajac, L. E.
- Affiliations
- University of Pittsburgh (US)
- University of Sheffield (GB)
- National Cancer Institute (US)
- Corresponding author
- Klein, William M.P.
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 47
- Issue
- 6
- Pages
- 1237-1242
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W1990733673
- Cited by
- 74
- References
- 75
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 4 · 2018: 7 · 2017: 5 · 2016: 8 · 2015: 5 · 2014: 8 · 2013: 7 · 2012: 2
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Social Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Social Sciences › Psychology › Social Psychology › Death Anxiety and Social Exclusion
- Keywords
- self-affirmation, message strength, behavioral intention, breast cancer risk, alcohol consumption, caffeine consumption, breast diseases, health risk communication, women
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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