The present analyses empirically explored the roles in cyberbullying by using Latent Class Analysis. Potential predictors of class membership were also examined using multinomial logistic regression analysis. Participants were 849 German students (52.7% girls, 45.6% boys, Mage = 13.4 years, SDage = 1.1 years). Observed indicators of latent class measured own involvement in cyberbullying, reactions to cyberbullying of classmates, and behavioral willingness as assistant and as defender. Indicators for the post-hoc regression analyses were proactive aggression, reactive aggression, self-esteem, cognitive, and affective empathy. Control variables were age and gender. A model with five classes was chosen. The classes were labeled prosocial defenders, communicating outsiders, aggressive defenders, bully-victims, and assistants. The results of the post-hoc regression analyses showed that students in the classes especially differed regarding types of aggression and social competencies. Based on answer patterns, cyberbullying roles beyond the bullying-triad can be found. Remarkably, three of the classes are bystanders, i.e. they are not directly involved in cyberbullying. Two of these classes showed helping behavior and made up almost two thirds of the sample. Knowledge about cyberbullying roles and their predictors is important to inform the planning and development of interventions. The results further indicate that interventions should especially take into account antisocial and passive behavioral patterns in the context of cyberbullying.

Salivary immunoglobulin A (IgA) is one characteristic humoral factor of the local immune system in the upper respiratory tract. Epidemiological studies emphasize the importance of secretory IgA in the protection from infections of the upper respiratory tract. However, due to high interindividual variability of secretion of salivary IgA, it remains difficult to define normal ranges. This series of studies focused on identification of factors influencing basal secretion of salivary IgA. The results indicate a significant relationship between age and salivary IgA concentration. Children below 7 years have lower salivary IgA concentration than children above 7 years or adults. Furthermore, a significant inverse relationship between saliva flow and salivary IgA concentration was found. Gender, mood states, salivary albumin, salivary catecholamines, and salivary cortisol were not associated with salivary IgA. It can be concluded that for defining normal ranges of salivary IgA, age and saliva flow have to be considered.

Cyberbullying is a ubiquitous topic when considering young people and internet and communication technologies (ICTs). For interventional purposes, it is essential to take into account the perspective of adolescents. This is the reason why our main focus is (1) investigating the role of different criteria in the perceived severity of cyberbullying incidents, and (2) examining the differences between countries in the perceived severity of cyberbullying. The sample consisted of 1,964 adolescents (48.2% girls) from middle and high schools of four different countries, i.e., Estonia, Italy, Germany, and Turkey. The participants' age ranged from 12 to 20 years old with a mean age of 14.49 (SD = 1.66) years. To assess perceived severity, participants rated a set of 128 scenarios, which systematically included one or more of five criteria (intentionality, repetition, imbalance of power, public vs. private, and anonymity) and represented four types of cyberbullying behaviors (Written—Verbal, Visual, Exclusion, Impersonation). The role of different criteria was analyzed using the Exploratory Structural Equation Modeling (ESEM). Results showed a similar structure across the four countries (invariant except for the latent factors' means). Further, criteria of imbalance of power and, to a lesser extent, intentionality, anonymity, and repetition always in combination, were found to be the most important criteria to define the severity of cyberbullying. Differences between countries highlighted specific features of Turkish students, who perceived all scenarios as more severe than adolescents from other countries and were more sensitive to imbalance of power. German and Italian students showed an opposite perception of anonymity combined with intentionality. For Italian participants, an anonymous attack was less threatening than for participants of other countries, whereas for German students anonymity caused more insecurity and fear. In addition, Italian adolescents were more perceptive of the criterion of intentionality. Finally, Estonian adolescents did not show strong differences in their factor scores compared to adolescents from the other countries.

Bystanders play a crucial role in aggressive behavior in group contexts. Cyberbystanders can react in proactive ways such as assisting a cyberbully or defending the victim. Since school relationships spill over to the online world, the school context is likely to influence students' online behavior. In the present study, we examine the influence of school climate on active cyberbystanding behavior beyond the influence of individual social competences. Participants were 726 students from a more comprehensive study, who were classified as non-victims and non-bullies (i.e., pure bystanders). They were from 36 classes in five schools in Germany (Grades 7-10; M age = 13.37 years, SD age = 1.01 years, 53.3% female). Two hypothetical scenarios were used to operationalize active bystanding: one for assisting in cyberbullying and one for defending the cybervictim. Separate multilevel analyses were conducted to predict assisting in cyberbullying and defending the victim on the individual level, respectively. Individual-level independent variables were affective and cognitive empathy. Class-level independent variables were assessed with six subscales of the Inventory of School Climate (ISC-S; Brand et al. 2003). Age, gender, class-level offline and online bullying, and offline and online victimization were controlled for. Results showed cognitive and affective empathy, lack of positive peer interactions, and offline bullying to predict assisting. Defending was predicted by cognitive and affective empathy, lack of safety problems, and teacher support. School plays a role in students' online bystander behavior and interventions should aim to foster a supportive school climate.

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