Evidence map›Paper›PMID 34919275›Full record

ArticleJournal of personality2022

The tangled webs we wreak: Examining the structure of aggressive personality using psychometric networks.

Samuel J West, David S Chester

Abstract read
In one paragraph

Article in Journal of personality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 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

2 authors.

Samuel J WestDepartment of Surgery, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0002-6439-9159
David S ChesterDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0002-9383-7138

Funding

Genetic and Neural Factors in Alcohol-Influenced AggressionK01AA026647 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CHESTER, DAVID SKYLAN · 2018 to 2022
$713k
NIAAA NIH HHS K01 AA026647
6 · The paper itself

Abstract

objectiveTrait aggression is a prominent construct in the psychological literature, yet little work has sought to situate trait aggression among broader frameworks of personality. Initial evidence suggests that trait aggression may be best couched within the nomological network of the Five-Factor Model (FFM). The current work sought to locate the most appropriate home for trait aggression among the FFM.

methodWe applied a preregistered regimen of psychometric network analyses to three datasets (combined N = 2927) that contained self-reports of trait aggression and the FFM traits.

resultsTrait aggression was highly central in the factor-level networks, which contained associations consistent with the conceptualization of this construct as a lower-order component of low agreeableness. The facet-level networks revealed that the behavioral facets of trait aggression reflected low agreeableness, but that the anger and hostility facets reflected high neuroticism. The item-level network suggested that the intent to initiate aggressive encounters was the primary bridge that empirically linked trait aggression to agreeableness.

conclusionsOur results indicate that trait aggression is primarily a lower-order facet of agreeableness, advance our understanding of trait aggression, integrate it with broader frameworks of personality, and suggest future directions to refine this complex dispositional tendency.

Indexed as

HostilityPersonality DisordersAggressionHumansPersonalityPersonality InventoryPsychometricsantagonismBig FiveFive-Factor Modelnetwork analysistrait aggression

Identifiers

PMID34919275
PMCPMC9203597

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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.