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Automatic processes and individual differences in aggressive behavior

*Corresponding author for this work
Scholary Output:
Contribution to journal
Review article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

In a context in which aggressive behavior has been predominantly predicted by self-reports, this paper considers how a theoretical and empirical examination of automatic and deliberative processes in information processing and decision making may contribute to our understanding of aggressive behavior. We review research devoted to distinguishing two types of aggression with regard to the level of automaticity or control they involve, a distinction similar to the one between automatic and deliberative processes. In parallel with this theoretical distinction, implicit measures appear to be a good candidate for measuring aggression and predicting aggressive behavior. Although consideration of automatic processes is essential for a better understanding of how and why people act aggressively, it should not lead to the conclusion that aggressive behavior is fully automatic. This contribution underlines that the interaction between environment and individual differences is the key element at the implicit level, as it is at the explicit level. Some future directions for studying aggression using implicit measures are drawn.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 423-430 (8 pages)

Journal (Volume, Issue Number)

Aggression and Violent Behavior (Volume 13, Issue 6)

Publication milestones

  • Published - 11/2008

Publication status

Published - 11/2008

ISSN

1359-1789

Publication IDs

  • Scopus: 53049101166

Publication metrics

Metrics

SciVal
citations
33
SciVal
FWCI
1.21
SciVal
Author count
2
SciVal
Paper percentile
83
Scopus
citations
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1

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Captures
98
Citation count
40