@article{Krahe2020, author = {Krah{\´e}, Barbara}, title = {Risk cactors for the development of aggressive behavior from middle childhood to adolescence}, series = {Current directions in psychological science}, volume = {29}, journal = {Current directions in psychological science}, number = {4}, publisher = {Sage}, address = {Thousand Oaks}, issn = {0963-7214}, doi = {10.1177/0963721420917721}, pages = {333 -- 339}, year = {2020}, abstract = {In this article, I examine the development of aggressive behavior from middle childhood to adolescence as a result of the interaction between the person and the environment and discuss implications for intervention measures. Three main questions are addressed and illustrated by examples from recent research: What are intrapersonal risk factors for the development and persistence of aggressive behavior from middle childhood to adolescence? What factors in the social environment contribute to the development of aggressive behavior? How do individual dispositions and environmental risk factors interact to explain developmental trajectories of aggressive behavior?}, language = {en} } @article{BuschingKrahe2017, author = {Busching, Robert and Krah{\´e}, Barbara}, title = {The contagious effect of deviant behavior in adolescence}, series = {Social psychological and personality science}, volume = {9}, journal = {Social psychological and personality science}, number = {7}, publisher = {Sage Publ.}, address = {Thousand Oaks}, issn = {1948-5506}, doi = {10.1177/1948550617725151}, pages = {815 -- 824}, year = {2017}, abstract = {This article investigated how the development of deviant behavior in adolescence is influenced by the variability of deviant behavior in the peer group. Based on the social information-processing (SIP) model, we predicted that peer groups with a low variability of deviant behavior (providing normative information that is easy to process) should have a main effect on the development of adolescents' deviant behavior over time, whereas peer groups in which deviant behavior is more variable (i.e., more difficult to process) should primarily impact the deviant behavior of initially nondeviant classroom members. These hypotheses were largely supported in a multilevel analysis using self-reports of deviant behavior in a sample of 16,891 adolescents in 1,308 classes assessed at two data waves about 1-year apart. The results demonstrate the advantages of studying cross-level interactions to clarify the impact of the peer environment on the development of deviant behavior in adolescence.}, language = {en} } @phdthesis{Rohlf2016, author = {Rohlf, Helena L.}, title = {The development of aggression in middle childhood}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-95457}, school = {Universit{\"a}t Potsdam}, pages = {242}, year = {2016}, abstract = {Background: The engagement in aggressive behavior in middle childhood is linked to the development of severe problems in later life. Thus, identifying factors and processes that con-tribute to the continuity and increase of aggression in middle childhood is essential in order to facilitate the development of intervention programs. The present PhD thesis aimed at expand-ing the understanding of the development of aggression in middle childhood by examining risk factors in the intrapersonal and interpersonal domains as well as the interplay between these factors: Maladaptive anger regulation was examined as an intrapersonal risk factor; processes that occur in the peer context (social rejection and peer socialization) were included as interpersonal risk factors. In addition, in order to facilitate the in situ assessment of anger regulation strategies, an observational measure of anger regulation was developed and validated. Method: The research aims were addressed within the scope of four articles. Data from two measurement time points about ten months apart were available for the analyses. Participants were elementary school children aged from 6 to 10 years at T1 and 7 to 11 years at T2. The first article was based on cross-sectional analyses including only the first time point; in the remaining three articles longitudinal associations across the two time points were analyzed. The first two articles were concerned with the development and cross-sectional as well as longitudinal validation of observational measure of anger regulation in middle childhood in a sample of 599 children. Using the same sample, the third article investigated the longitudinal link between maladaptive anger regulation and aggression considering social rejection as a mediating variable. The frequency as well as different functions of aggression (reactive and proactive) were included as outcomes measures. The fourth article examined the influence of class-level aggression on the development of different forms of aggression (relational and physical) over time under consideration of differences in initial individual aggression in a sample of 1,284 children. In addition, it was analyzed if the path from aggression to social rejection varies as a function of class-level aggression. Results: The first two articles revealed that the observational measure of anger regulation developed for the purpose of this research was cross-sectionally related to anger reactivity, aggression and social rejection as well as longitudinally related to self-reported anger regula-tion. In the third article it was found that T1 maladaptive anger regulation showed no direct link to T2 aggression, but an indirect link through T1 social rejection. This indirect link was found for the frequency of aggression as well as for reactive and proactive aggression. The fourth article revealed that with regard to relational aggression, a high level of classroom ag-gression predicted an increase of individual aggression only among children with initially low levels of aggression. For physical aggression, it was found that the overall level of aggression in the class affected all children equally. In addition, physical aggression increased the likelihood of social rejection irrespective of the class-level of aggression whereas relational aggression caused social rejection only in classes with a generally low level of relational aggression. The analyses of gender-specific effects showed that children were mainly influenced by their same-gender peers and that the effect on the opposite gender was higher if children engaged in gender-atypical forms of aggressive behavior. Conclusion: The results provided evidence for the construct and criterion validity of the observational measure of maladaptive anger regulation that was developed within the scope of this research. Furthermore, the findings indicated that maladaptive anger regulation constitutes an important risk factor of aggression through the influence of social rejection. Finally, the results demonstrated that the level of aggression among classmates is relevant for the development of individual aggression over time and that the children´s evaluation of relationally aggressive behavior varies as a function of the normativity of relational aggression in the class. The study findings have implications for the measurement of anger regulation in middle childhood as well as for the prevention of aggression and social rejection.}, language = {en} }