How transgressor's moral identity leads to high‐quality apologies: The positive effects of guilt.
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| Title: | How transgressor's moral identity leads to high‐quality apologies: The positive effects of guilt. |
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| Authors: | Iwai, Tatiana, de França Carvalho, João Vinícius, Islam, Gazi |
| Source: | British Journal of Social Psychology. Jul2023, Vol. 62 Issue 3, p1486-1505. 20p. 1 Diagram, 6 Charts, 1 Graph. |
| Subjects: | Thought & thinking, Experimental design, Research, Ethics, Forgiveness, Attitude (Psychology), Criminals, Group identity, Guilt (Psychology), Violence, Interpersonal relations, Victims, Statistical correlation, Autobiography |
| Abstract: | Comprehensive apologies are effective strategies to solve interpersonal conflict and promote reconciliation. However, transgressors tend to avoid providing comprehensive apologies because it is more threatening to do so. As a result, transgressors usually offer perfunctory apologies and hinder their own chances of being forgiven. Given the importance of promoting high‐quality apologies, we investigate the role of moral identity in increasing apology comprehensiveness. Across three studies using a combination of experimental and correlational designs with autobiographical recall paradigm, we demonstrate that transgressors high in moral identity feel guiltier after committing a transgression. As a result, they offer more comprehensive apologies. Moreover, the effects of guilt on transgressors' apologizing are conditional on the perceived apology effectiveness. Guilt is particularly important to boost apology quality when perceived apology effectiveness is low. In such cases, guilt leads transgressors to make more reparative efforts towards reconciliation despite the low possibility of apology's acceptance. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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