ArticleScientific reports2023
Differentiating paranoia and conspiracy mentality using a network approach.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Pandemic Paranoia Scale for Adolescents (PPS-A): An Initial Psychometric Evaluation and Prevalence Study of Adolescents in the United States and United Kingdom.Research on child and adolescent psychopathology · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although mostly considered distinct, conspiracy mentality and paranoia share conceptual similarities (e.g., persecutory content, resistance to disconfirming evidence). Using self-report data from a large and multinational online sample (N = 2510; from the UK, the US, Hong Kong, Germany, and Australia), we examined whether paranoia and conspiracy mentality represent distinct latent constructs in exploratory and confirmatory factor analyses. Utilising network analysis, we then explored common and unique correlates of paranoia and conspiracy mentality while accounting for their shared variance. Across sites, paranoia and conspiracy mentality presented distinct, yet weakly correlated (r = 0.26), constructs. Both were associated with past traumatic experiences, holding negative beliefs about the self and other people, sleep problems, and a tendency to worry. However, paranoia was related to increased negative affect (i.e., anxiety) and decreased social support, whereas the opposite pattern was observed for conspiracy mentality (i.e., decreased anxiety and depression, increased social support). Paranoia and conspiracy mentality are related but not the same constructs. Their similar and distinct correlates point to common and unique risk factors and underlying mechanisms.
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