This study examined the relation between moral disengagement and different self-reported and peer-nominated positions in school bullying. The aims of this study were to (1) investigate moral disengagement among children for whom self-reported and peer-nominated bully status diverged and (2) compare levels of disengagement among self-reported and peer-nominated pure bullies, pure victims, bully-victims, and children not involved in bullying. A sample of 739 Danish sixth grade and seventh grade children (mean age 12.6) was included in the study. Moral disengagement was measured using a Danish version of the Moral Disengagement Scale and bullying was measured using both self-reports and peer nominations. Results revealed that both self-reported and peer-nominated bullying were related to moral disengagement, and that both pure bullies and bully-victims displayed higher moral disengagement than outsiders. Discrepancies between self-reported and peer-nominated bullying involvement indicates that a person's social reputation has a stronger association with moral disengagement than so far expected. Implications are discussed, highlighting the importance of further research and theory development.
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http://dx.doi.org/10.1002/ab.20378 | DOI Listing |
Future military conflicts are likely to involve peer or near-peer adversaries in large-scale combat operations, leading to casualty rates not seen since World War II. Casualty volume, combined with anticipated disruptions in medical evacuation, will create resource-limited environments that challenge medical responders to make complex, repetitive triage decisions. Similarly, pandemics, mass casualty incidents, and natural disasters strain civilian health care providers, increasing their risk for exhaustion, burnout, and moral injury.
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January 2025
Chinese Academy of Education Big Data, Qufu Normal University, Qufu, Shandong, China.
The rapid growth of internet usage has led to increased cyberbullying among adolescents, with varying rates reported across countries. This study aimed to investigate the impact of cyber moral literacy on cyberbullying among late adolescents, examining both the mediating role of moral disengagement and the moderating effect of guilt on the relationship between cyber moral literacy and cyberbullying. Data were collected from 7837 late adolescent students (aged 18-21 years) at four universities in Sichuan Province, China.
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January 2025
Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark.
The concept of social invisibility describes the devaluation of the perceived social and personal worth of an individual. This paper presents the theoretical foundation for this construct, and the development and validation of the "Invisibility Scale" capturing experiences of and needs for social (in)visibility within (i) intimate, (ii) legal, and (iii) communal relations. We developed and validated the Invisibility Scale in two studies.
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December 2024
National Cancer Control Institute, National Cancer Center, Goyang, 10408, Republic of Korea.
This study investigated the relationships among exposure to risky online content, moral disengagement, media literacy, and cyberaggression in adolescents (aged 13-15 years). Data were obtained from the 2021 Cyber Violence Survey (N = 3,002) conducted by a national agency in the Republic of Korea using systematic stratified sampling. The survey assessed eight aggressive online behaviors as indicators of cyberaggression: verbal violence, defamation, stalking, sending provocative content, personal information leakage, bullying, extortion, and coercion.
View Article and Find Full Text PDFAggress Behav
January 2025
Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber-aggression.
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