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Why are beliefs in different conspiracy theories positively correlated across individuals? Testing monological network versus unidimensional factor model explanations.
Williams, Matt N; Marques, Mathew D; Hill, Stephen R; Kerr, John R; Ling, Mathew.
Afiliación
  • Williams MN; Massey University, Auckland, New Zealand.
  • Marques MD; La Trobe University, Melbourne, Victoria, Australia.
  • Hill SR; Massey University, Manawatu, New Zealand.
  • Kerr JR; University of Cambridge, Cambridge, UK.
  • Ling M; Deakin University, Melbourne, Victoria, Australia.
Br J Soc Psychol ; 61(3): 1011-1031, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35083755
ABSTRACT
A substantial minority of the public express belief in conspiracy theories. A robust phenomenon in this area is that people who believe one conspiracy theory are more likely to believe in others. But the reason for this "positive manifold" of belief in conspiracy theories is unclear. One possibility is that a single underlying latent factor (e.g. "conspiracism") causes variation in belief in specific conspiracy theories. Another possibility is that beliefs in various conspiracy theories support one another in a mutually reinforcing network of beliefs (the "monological belief system" theory). While the monological theory has been influential in the literature, the fact that it can be operationalised as a statistical network model has not previously been recognised. In this study, we therefore tested both the unidimensional factor model and a network model. Participants were 1553 American adults recruited via Prolific. Belief in conspiracies was measured using an adapted version of the Belief in Conspiracy Theories Inventory. The fit of the two competing models was evaluated both by using van Bork et al.'s (Psychometrika, 83, 2018, 443, Multivariate Behavioral Research, 56, 2019, 175) method for testing network versus unidimensional factor models, as well as by evaluating goodness of fit to the sample covariance matrix. In both cases, evaluation of fit according to our pre-registered inferential criteria favoured the network model.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Política / Deluciones Tipo de estudio: Prognostic_studies Límite: Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Br J Soc Psychol Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Política / Deluciones Tipo de estudio: Prognostic_studies Límite: Adult / Humans País/Región como asunto: America do norte Idioma: En Revista: Br J Soc Psychol Año: 2022 Tipo del documento: Article País de afiliación: Nueva Zelanda