Evidence map›Paper›PMID 38987815›Full record

ArticleBMC psychology2024

Network analysis of trait aggression among community youths and juvenile offenders.

Chen Chen, Chenglong Li, Shienyu Fei, Wei Chen

Abstract read
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chen Chen *School of Psychology, Guizhou Normal University, Guiyang, China.
Chenglong Li *School of Psychology, Guizhou Normal University, Guiyang, China.
Shienyu FeiSchool of Psychology, Guizhou Normal University, Guiyang, China.
Wei ChenSchool of Psychology, Guizhou Normal University, Guiyang, China. chenweihb@yeah.net.

Funding

Phased Achievements of Guizhou Province Philosophy and Social Science Planning Project 21GZZD45
6 · The paper itself

Abstract

objectiveThe mainstream view in trait aggression research has regarded the structure as representing the latent cause of the cognitions, emotions, and behaviors that supposedly reflect its nature. Under network perspective, trait aggression is not a latent cause of its features but a dynamic system of interacting elements. The current study uses network theory to explain the structure of relationships between trait aggression features in juvenile offenders and their peers.

methodsNetwork analysis was applied to investigate the dynamic system of trait aggression operationalized by the Buss-Perry Aggression Questionnaire in a sample of community youths (Mage = 17.46, N = 715) and juvenile offenders (Mage = 18.36, N = 834).

resultsThe facet level networks showed that anger is a particularly effective mechanism for activating all other traits. In addition, anger was more strongly associated with physical aggression and the overall network strength was greater in juvenile delinquency networks than in their peers. The item level networks revealed that A4 and A6 exhibited the highest predictability and strength centrality in both samples. Also, the Bayesian network indicated that these two items were positioned at the highest level in the model. There are similarities and differences between juvenile delinquents and community adolescents in trait aggression.

conclusionTrait aggression was primarily activated by difficulty controlling one's temper and feeling like a powder keg.

Indexed as

AggressionJuvenile DelinquencyAdolescentAdolescent BehaviorAngerBayes TheoremCriminalsFemaleHumansMalePeer GroupSurveys and QuestionnairesYoung AdultJuvenile offendersNetwork analysisThe Buss-Perry aggression questionnaireTrait aggression

Identifiers

PMID38987815
PMCPMC11238466

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.