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Reactive and Proactive Aggression among Children and Adolescents

A Latent Profile Analysis and Latent Transition Analysis

Bibliographic Data

ID15719196
AuthorsAnnette Lohbeck (0000-0001-7035-1445, Humboldt-Universität zu Berlin, corresponding author)
Year2022
Volume9
Issue11
Pages1733-1733
Publication date2022-11-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children9111733
PMID36421182
OpenAlexW4309004470
LanguageEN
Citations received3
References cited58

The present study aimed to explore children's and adolescents' profiles of reactive and proactive aggression and the stability of those profiles over a six-month period using latent profile analysis (LPA) and latent transition analysis (LTA). Data were collected at two measurement points from a sample of N = 1468 children and adolescents aged from 9 to 18 years. Results of LPA revealed three distinct profiles, labeled as "Severe Reactively and Proactively Aggressive (S-RA-PA)", "Highly Reactively and Proactively Aggressive" (H-RA-PA), and "Moderately Low Reactively and Proactively Aggressive" (M-RA-PA). All profiles appeared to be relatively stable over six months, supporting their within-sample consistency. The most stable and largest profile was the "M-RA-PA" profile, while the least stable and smallest profile was the "S-RA-PA" profile. However, there was also some within-person variability in children's and adolescents' profile membership because almost 40-50% of the participants of the "S-RA-PA" and "H-RA-PA" profiles transitioned to another profile across six months. In contrast, more than 90% of the participants of the "M-RA-PA" profile remained in their profile. These results provide a dynamic picture of children's and adolescents' development of reactive and proactive aggression and bear several implications from a short longitudinal person-oriented perspective

Aggression · Developmental psychology · Latent class model · Latent variable · Machine learning · Transition (genetics · Bullying, Victimization, and Aggression · Chemistry · Child and Adolescent Psychosocial and Emotional Development · Child Development and Digital Technology · Computer Science · Psychology · Artificial Intelligence

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Unique citing works3
Citations per year1,5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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