TY  - JOUR
A1  - Krahé, Barbara
T1  - Risk cactors for the development of aggressive behavior from middle childhood to adolescence
BT  - the interaction of person and environment
JF  - Current directions in psychological science
N2  - 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?
KW  - aggression
KW  - development
KW  - anger regulation
KW  - contagion
KW  - media violence
KW  - peer influences
Y1  - 2020
U6  - https://doi.org/10.1177/0963721420917721
SN  - 0963-7214
SN  - 1467-8721
VL  - 29
IS  - 4
SP  - 333
EP  - 339
PB  - Sage
CY  - Thousand Oaks
ER  - 
TY  - JOUR
A1  - Busching, Robert
A1  - Krahé, Barbara
T1  - The contagious effect of deviant behavior in adolescence
BT  - a longitudinal multilevel study
JF  - Social psychological and personality science
N2  - 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.
KW  - multilevel analyses
KW  - peer influences
KW  - deviant behavior
KW  - gender
KW  - adolescence
Y1  - 2017
U6  - https://doi.org/10.1177/1948550617725151
SN  - 1948-5506
SN  - 1948-5514
VL  - 9
IS  - 7
SP  - 815
EP  - 824
PB  - Sage Publ.
CY  - Thousand Oaks
ER  -