Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach
Year: 2024
Type: article
Study design: Observational Study
Abstract: Paranormal beliefs encompass a wide variety of phenomena, including the existence of supernatural entities such as ghosts and witches, as well as extraordinary human abilities such as telepathy and clairvoyance. Little is known, however, about the prevalence and pattern of paranormal beliefs in a highly secular country such as the Netherlands. In the current study, we used a nationally representative sample (N = 2534) to investigate the presence and correlates of paranormal beliefs among the Dutch. The results indicated that most single paranormal phenomena (e.g., belief in clairvoyance) are endorsed by 10-20% of Dutch respondents; however, 55.6% of respondents qualify as ‘paranormal believers’ based on the preregistered criterion that they believe in at least one phenomenon with considerable certainty. In addition, we invited four analysis teams with different methodological expertise to assess the structure of paranormal beliefs using traditional factor analysis, network analysis, Bayesian network analysis, and latent class analysis. The teams’ analyses indicated adequate fit of a four-factor structure reported in a 1985 study, but also emphasized different conclusions and insights across techniques; network analyses showed evidence against strong connectedness within most clusters, and suggested a five-cluster structure. The application of various analytic techniques painted a nuanced picture of paranormal beliefs and believers in the Netherlands and suggests that despite increased secularisation, subgroups of the general population still believe in paranormal phenomena.
Source: Royal Society Open Science
DOI: 10.1098/rsos.240049
Institutions: Utrecht University, University of Amsterdam, Leiden University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,471
OpenAlex ID: W4402176366
