LAUSR

Aggression in online contexts has received much attention over the last decade, yet there is a need for measures identifying the proximal psychological drivers of cyber-aggressive behavior. The purpose of this study was to present data on the newly developed Cyber-Aggression Typology Questionnaire (CATQ) designed to distinguish between four distinct types of cyber-aggression on dimensions of motivational valence and self-control. A sample 314 undergraduate students participated in the study. The results confirmed the predicted four-factor structure providing evidence for distinct and independent impulsive-aversive, controlled-aversive, impulsive-appetitive, and controlled-appetitive cyber-aggression types. Further analyses with the Berlin Cyberbullying Questionnaire, Reactive Proactive Aggression Questionnaire, and the Behavior Inhibition and Activation Systems Scale provide support for convergent and divergent validity. Understanding the motivations facilitating cyber-aggressive behavior could aid researchers in the development of new prevention and intervention strategies that focus on individual differences in maladaptive proximal drivers of aggression. Aggr. Behav. 43:74-84, 2017. © 2016 Wiley Periodicals, Inc.