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Title: Meta-Analysis of Associations Between Five-Factor Personality Traits and Social Media Addiction
Contributor(s): Malouff, John  (creator)orcid ; Meyandier, Jai (creator)orcid 
Publication Date: 2022-01-17
DOI: 10.25952/f9ey-kn49
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Abstract/Context: This is a data file used in a meta-analysis. This meta-analysis quantified the relationship between the five-factor model of personality and social media addiction and identified moderators of this relationship. The analysis included 32 studies and 34 independent samples, with a total of 19,668 participants. The meta-analysis found that high neuroticism (r = .19, p < .001), low conscientiousness (r = -.13, p < .001), low agreeableness (r = -.05, p = .03), and low openness (r = -.06, p = .02) were significantly associated with social media addiction. Several significant moderator effects were found involving age and sex, with females and younger individuals generally showing stronger associations between certain personality traits and social media addiction. The meta-analysis contributes to the understanding of the relationship between individual characteristics and social media addiction and provides information that might be useful in preventing and treating this addictive behaviour.
Publication Type: Dataset
Fields of Research (FoR) 2020: 520399 Clinical and health psychology not elsewhere classified
Socio-Economic Objective (SEO) 2020: 200409 Mental health
Keywords: Addiction
Social media
Big five
Location: Armidale, New South Wales, Australia
HERDC Category Description: X Dataset
Project: Meta-Analysis of Associations Between Five-Factor Personality Traits and Social Media Addiction
Dataset Managed By: John Malouff
Rights Holder: John Malouff
Dataset Stored at: University of New England
Primary Contact Details: John Malouff -
Dataset Custodian Details: John Malouff -
Appears in Collections:Dataset
School of Psychology

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