Generous descriptive norms change children's pre‐existing decisions and expectations about sharing behaviour.
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| Title: | Generous descriptive norms change children's pre‐existing decisions and expectations about sharing behaviour. |
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| Authors: | Gonzalez‐Gadea, María L., Schlotthauer, Joaquín, Aquino, Alexia, Gattei, Carolina |
| Source: | British Journal of Developmental Psychology. Sep2025, Vol. 43 Issue 3, p801-814. 14p. |
| Subjects: | Social psychology, Data analysis, Neural development, Social norms, Behavior, Games, Ethics, Social skills, Statistics, Analysis of variance, Interpersonal relations, Decision making in children, Child psychology, Data analysis software, Child behavior, Cognition |
| Abstract: | Previous studies suggest that generous norms influence sharing behaviour from middle childhood onwards. However, no previous study has assessed how these norms could change prior sharing decisions and beliefs about others' sharing behaviour and whether such beliefs may be linked to behavioural change promoted by generous norms. Through a within‐subject design, we evaluate 4‐to‐9‐year‐old children (N = 111) using two dictator games; one as baseline and the other after being exposed to either a generous or a selfish descriptive norm. Similar to previous studies, the generous norm increased baseline sharing decisions only in children older than 7. In this age group, decisions and beliefs were significantly associated after this norm. Lastly, only the generous norm and not the selfish norm increased expectations about others' sharing behaviour in both age groups. These results suggest that expectations about others' sharing behaviour may support the development of more cooperative sharing behaviour. At least through descriptive norms, it appears more challenging to nudge children to share less and to believe that most children would share selfishly. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Developmental 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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