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      The Role of Sensitivity to Reward and Punishment in Aggression

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          Abstract

          The study of the risk and protective factors in aggression is of fundamental importance for our society. The aim of this research was to clarify the role of sensitivity to reward/punishment in aggression and provide a better understanding of the mechanisms underlying this relationship, particularly given that previous studies in the literature have yielded mixed results. To this end, two studies were conducted. In Study 1 (484 participants; M age = 39.09; 48.6s women), we explored the relationship between sensitivity to reward and punishment and four components of aggression: physical, verbal, anger, and hostility. In Study 2 (229 participants; M age = 21.52; 56.77% women), we investigated the moderating role of emotion regulation ability in this relationship. The findings of Studies 1 and 2 supported the existence of a positive relationship between sensitivity to reward and aggression, that is, a high reactivity to reward acted as a risk factor. With respect to sensitivity to punishment, mediation analysis revealed that this variable may act both as a protective factor as well as a risk factor for behavioral aggression. A higher reactivity to punishment had a direct negative effect on physical and verbal aggression, inhibiting aggressive behavior. However, a higher reactivity to punishment also implied a positive indirect effect on physical and verbal aggression through an increase in anger and hostility. Interestingly, Study 2 revealed that these indirect effects were moderated by emotion regulation ability. Our results could help to inform the design of aggression prevention and intervention programs for reducing the impact of this behavior on our society.

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          Human aggression.

          Research on human aggression has progressed to a point at which a unifying framework is needed. Major domain-limited theories of aggression include cognitive neoassociation, social learning, social interaction, script, and excitation transfer theories. Using the general aggression model (GAM), this review posits cognition, affect, and arousal to mediate the effects of situational and personological variables on aggression. The review also organizes recent theories of the development and persistence of aggressive personality. Personality is conceptualized as a set of stable knowledge structures that individuals use to interpret events in their social world and to guide their behavior. In addition to organizing what is already known about human aggression, this review, using the GAM framework, also serves the heuristic function of suggesting what research is needed to fill in theoretical gaps and can be used to create and test interventions for reducing aggression.
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            The aggression questionnaire.

            A new questionnaire on aggression was constructed. Replicated factor analyses yielded 4 scales: Physical Aggression, Verbal Aggression, Anger, and Hostility. Correlational analysis revealed that anger is the bridge between both physical and verbal aggression and hostility. The scales showed internal consistency and stability over time. Men scored slightly higher on Verbal Aggression and Hostility and much higher on Physical Aggression. There was no sex difference for Anger. The various scales correlated differently with various personality traits. Scale scores correlated with peer nominations of the various kinds of aggression. These findings suggest the need to assess not only overall aggression but also its individual components.
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              Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations.

              Researchers often hypothesize moderated effects, in which the effect of an independent variable on an outcome variable depends on the value of a moderator variable. Such an effect reveals itself statistically as an interaction between the independent and moderator variables in a model of the outcome variable. When an interaction is found, it is important to probe the interaction, for theories and hypotheses often predict not just interaction but a specific pattern of effects of the focal independent variable as a function of the moderator. This article describes the familiar pick-a-point approach and the much less familiar Johnson-Neyman technique for probing interactions in linear models and introduces macros for SPSS and SAS to simplify the computations and facilitate the probing of interactions in ordinary least squares and logistic regression. A script version of the SPSS macro is also available for users who prefer a point-and-click user interface rather than command syntax.
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                Author and article information

                Contributors
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                Journal
                Journal of Interpersonal Violence
                J Interpers Violence
                SAGE Publications
                0886-2605
                1552-6518
                January 16 2021
                : 088626052098627
                Affiliations
                [1 ] University of Málaga, Spain
                [2 ] University of Granada, Spain
                Article
                10.1177/0886260520986275
                55a7346a-8213-48d9-98b4-0de93c939791
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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