Cross-cultural validation of the Revised Green et al., Paranoid Thoughts Scale

Background. With efforts increasing worldwide to understand and treat paranoia, there is a pressing need for culturally valid assessments of paranoid beliefs. The recently developed Revised Green et al. Paranoid Thoughts Scale (R-GPTS) constitutes an easy to administer self-report assessment of mild ideas of reference and more severe persecutory thoughts. Moreover, it comes with clinical cut-offs for increased usability in research and clinical practice. With multiple translations of the R-GPTS already available and in use, a formal test of its measurement invariance is now needed.Methods. Using data from a multinational cross-sectional online survey in the UK, USA, Australia, Germany, and Hong Kong (N=2510), we performed confirmatory factory analyses on the R-GPTS and tested for measurement invariance across sites.Results. We found sufficient fit for the two-factor structure (ideas of reference, persecutory thoughts) of the R-GPTS across cultures. Measurement invariance was found for the persecutory thoughts subscale, indicating that it does measure the same construct across the tested samples in the same way. For ideas of reference, we found no scalar invariance, which was traced back to (mostly higher) item intercepts in the Hong Kong sample.Conclusion. We found sufficient invariance for the persecutory thoughts scale, which is of substantial practical importance, as it is used for the screening of clinical paranoia. A direct comparison of the ideas of reference sum-scores between cultures, however, may lead to an over-estimation of these milder forms of paranoia in some (non-western) cultures

Pandemic Paranoia in the General Population:International Prevalence and Sociodemographic Profile

BACKGROUND: The term ‘pandemic paranoia’ has been coined to refer to heightened levels of mistrust and suspicion towards other people specifically due to the COVID-19 pandemic. In this study, we examine the international prevalence of pandemic paranoia in the general population and its associated sociodemographic profile. METHODS: A representative international sample of general population adults (N = 2510) from five sites (USA N = 535, Germany N = 516, UK N = 512, Australia N = 502 and Hong Kong N = 445) were recruited using stratified quota sampling (for age, sex, educational attainment) and completed the Pandemic Paranoia Scale (PPS). RESULTS: The overall prevalence rate of pandemic paranoia was 19%, and was highest in Australia and lowest in Germany. On the subscales of the PPS, prevalence was 11% for persecutory threat, 29% for paranoid conspiracy and 37% for interpersonal mistrust. Site and general paranoia significantly predicted pandemic paranoia. Sociodemographic variables (lower age, higher population size and income, being male, employed and no migrant status) explained additional variance and significantly improved prediction of pandemic paranoia. CONCLUSIONS: Pandemic paranoia was relatively common in a representative sample of the general population across five international sites. Sociodemographic variables explained a small but significant amount of the variance in pandemic paranoia

The Pandemic Paranoia Scale (PPS): factor structure and measurement invariance across languages

Background: Globally, the COVID-19 pandemic has created an interpersonally threatening context within which other people have become a source of possible threat. This study reports on the development and validation of a self-report measure of pandemic paranoia; that is, heightened levels of suspicion and mistrust towards others due to the COVID-19 pandemic. Methods: An international consortium developed an initial set of 28 items for the Pandemic Paranoia Scale (PPS), which were completed by participants from the UK (n=512), USA (n=535), Germany (n=516), Hong Kong (n=454) and Australia (n=502) using stratified quota sampling (for age, sex, educational attainment) through Qualtrics and translated for Germany and Hong Kong. Results: Exploratory Factor Analysis (EFA) in the UK sample suggested a 25-item, three-factor solution (Persecutory Threat; Paranoid Conspiracy; Interpersonal Mistrust). Confirmatory Factor Analysis (CFA) on the remaining combined sample showed sufficient model fit in this independent set of data. Measurement invariance analyses suggested configural and metric invariance, but no scalar invariance across cultures/languages. A second-order factor CFA on the whole sample indicated that the three factors showed large loadings on a common second-order pandemic paranoia factor. Analyses also supported the test-retest reliability and internal and convergent validity. Conclusion: The PPS offers an internationally validated and reliable method for assessing paranoia in the context of a pandemic. The PPS has the potential to enhance our understanding of the impact of the pandemic, the nature of paranoia, and to assist in identifying and supporting people affected by pandemic-specific paranoia

Paranoid thinking as a function of minority group status and intersectionality: An international examination of the role of negative beliefs

BackgroundParanoia is higher in minority group individuals, especially those reporting intersecting aspects of difference. High negative and low positive self and other beliefs, and low social rank, are predictive of paranoia overtime; however, data are typically from majority group participants. This study examined whether social defeat or healthy cultural mistrust best characterizes paranoia in minority groups.Study DesignUsing cross-sectional, survey design, with a large (n = 2510) international sample, moderation analyses (PROCESS) examined whether self and other beliefs, and perceived social rank, operate similarly or differently in minority vs majority group participants. Specifically, we tested whether beliefs moderated the influence of minority group, and intersecting aspects of difference, on paranoia.Study ResultsParanoia was consistently higher in participants from minority vs majority groups and level of paranoid thinking was significantly higher at each level of the intersectionality index. Negative self/other beliefs were associated with elevated paranoia in all participants. However, in support of the notion of healthy cultural mistrust, low social rank, and low positive self/other beliefs were significantly associated with paranoia in majority group participants but unrelated to paranoia in respective minority group members.ConclusionsAlthough mixed, our findings signal the need to consider healthy cultural mistrust when examining paranoia in minority groups and bring into question whether “paranoia” accurately describes the experiences of marginalized individuals, at least at low levels of severity. Further research on paranoia in minority groups is crucial to developing culturally appropriate ways of understanding people’s experiences in the context of victimization, discrimination, and difference

Taking a machine learning approach to optimise prediction of vaccine hesitancy in high income countries

Understanding factors driving vaccine hesitancy is crucial to vaccination success. We surveyed adults (N = 2510) from February to March 2021 across five sites (Australia = 502, Germany = 516, Hong Kong = 445, UK = 512, USA = 535) using a cross-sectional design and stratified quota sampling for age, sex, and education. We assessed willingness to take a vaccine and a comprehensive set of putative predictors. Predictive power was analysed with a machine learning algorithm. Only 57.4% of the participants indicated that they would definitely or probably get vaccinated. A parsimonious machine learning model could identify vaccine hesitancy with high accuracy (i.e. 82% sensitivity and 79–82% specificity) using 12 variables only. The most relevant predictors were vaccination conspiracy beliefs, various paranoid concerns related to the pandemic, a general conspiracy mentality, COVID anxiety, high perceived risk of infection, low perceived social rank, lower age, lower income, and higher population density. Campaigns seeking to increase vaccine uptake need to take mistrust as the main driver of vaccine hesitancy into account

Differentiating paranoia and conspiracy mentality using a network approach

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