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Correlational Study
| Published: August 22, 2026
Prosocial Behaviour and Moral Judgement among Adults
MGM University, India, Maharashtra, Chhatrapati Sambhajinagar
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MGM University, India, Maharashtra, Chhatrapati Sambhajinagar
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DIP: 18.01.107.20261403
DOI: 10.25215/1403.107
ABSTRACT
Prosocial behaviour refers to voluntary actions intended to benefit others, including helping, sharing, comforting, and cooperating. Moral judgement is the cognitive process through which individuals evaluate actions as right or wrong based on ethical principles and social norms. Although previous research has examined these constructs in children and adolescents, limited evidence is available among Indian adults. The present study examined the relationship between prosocial behaviour and moral judgement and investigated whether prosocial behaviour predicts moral judgement among adults. A quantitative correlational research design was employed with a sample of 100 adults. Prosocial behaviour and moral judgement were assessed using standardized psychological measures. Data were analysed using descriptive statistics, Pearson’s product-moment correlation, and simple linear regression. The findings revealed a statistically significant moderate positive relationship between prosocial behaviour and moral judgement (r = .517, p < .001). Simple linear regression demonstrated that prosocial behaviour significantly predicted moral judgement, explaining 26.7% of the variance (R² = .267, F (1,98) = 35.74, p < .001). These findings suggest that individuals exhibiting greater prosocial tendencies also demonstrate stronger moral judgement. The study contributes to understanding moral functioning among adults and provides implications for educational, organizational, and community interventions aimed at promoting ethical behaviour and social responsibility.
Keywords
Prosocial Behaviour, Moral Judgement, Adults, Pearson Correlation, Linear Regression, Moral Development
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Mathur, A. & Jogdand, A.
Received: August 05, 2026; Revision Received: August 18, 2026; Accepted: August 22, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.107.20261403
10.25215/1403.107
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Published in Volume 14, Issue 3, July-September, 2026
