This study examined the links between seven specific mechanisms of moral disengagement and indirect bullying, direct bullying, and pro-aggressive bystander behavior. In addition, the moderating role of gender on these associations was examined. Participants were 317 Swedish students in Grades 4 to 8 ([Formula: see text], SD = 1.35; 62% girls). Multivariate multiple regression analyses showed that indirect bullying was predicted by gender and victim attribution. Direct bullying was predicted by moral justification, and for girls, by victim attribution. Pro-aggressive bystander behavior was predicted by diffusion of responsibility, victim attribution, gender, and age. That is, boys and younger students were more prone to take the aggressor’s side compared with girls and older students. Furthermore, the relation between pro-aggressive bystander behavior and distortion of consequences appeared stronger in boys than in girls. These results highlight the relative importance of specific moral disengagement mechanisms and may have implications for interventions targeting bullying.

School bullying is a complex social and relational phenomenon with severe consequences for those involved. Most children view bullying as wrong and recognize its harmful consequences; nevertheless, it continues to be a persistent problem within schools. Previous research has shown that children’s engagement in bullying perpetration can be influenced by multiple factors (e.g., different forms of cognitive distortions) and at different ecological levels (e.g., child, peer-group, school, and society). However, the complexity of school bullying warrants further investigation of the interplay between factors, at different levels. Grounded in social cognitive theory, which focuses on both cognitive factors and social processes, this study examined whether children’s bullying perpetration was associated with moral disengagement at the child level and with collective moral disengagement and prevalence of pro-bullying behavior at the classroom level. Cross-level interactions were also tested to examine the effects of classroom-level variables on the association between children’s tendency to morally disengage and bullying perpetration. The study’s analyses were based on cross-sectional self-report questionnaire data from 1,577 Swedish fifth-grade children from 105 classrooms (53.5% girls; Mage = 11.3, SD = 0.3). Multilevel modeling techniques were used to analyze the data. The results showed that bullying perpetration was positively associated with moral disengagement at the child level and with collective moral disengagement and pro-bullying behavior at the classroom level. Furthermore, the effect of individual moral disengagement on bullying was stronger for children in classrooms with higher levels of pro-bullying behaviors. These findings further support the argument that both moral processes and behaviors within classrooms, such as collective moral disengagement and pro-bullying behavior, need to be addressed in schools’ preventive work against bullying.

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This short-term longitudinal study examined whether individual moral disengagement and classroom collective moral disengagement were associated with offline and online bullying over the course of 1 year. Multilevel growth modeling with three levels was used to analyze data from a sample of 1048 Swedish students in 68 classrooms. The students completed a self-report questionnaire at two time-points separated by approximately 1 year. All students were in fifth grade (M age = 11.5) at the first timepoint and in sixth grade (M age = 12.6) at the second timepoint. Results showed that students reported more offline and online bullying if they had higher initial levels of individual moral disengagement and if they belonged to classrooms with higher initial levels of classroom collective moral disengagement. Also, a change in individual moral disengagement was positively associated with a change in bullying others offline and online.

Competitive racing through virtual cycling has established itself as an entirely new discipline within cycling. This study explores what equipment racers use and examines important power metrics for racing. Data were collected from three different races from the current ranking of the most highly regulated and professionally organized race series on the virtual cycling platform Zwift. Power output data from 116 race participants, over five power durations (5 s–20 min), and two separate power measuring sources were collected and analyzed using the Bland–Altman method. The findings indicate that the physiological efforts of these races are comparable to those found in traditional competitive cycling. Furthermore, findings also support that the equipment typically used produces similar power outputs with good agreement between different power meters for most measurement points. Finally, the implications of these results for the status of virtual racing are discussed.