A validation of the Pseudoscience Endorsement Scale and assessment of the cognitive correlates of pseudoscientific beliefs

Pseudoscientific beliefs are widespread and have potentially harmful consequences. Being able to identify their presence and recognize the factors characterizing their endorsement is crucial to understanding their prevalence. In this preregistered study, we validated the English version of the Pseud...

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Detalles Bibliográficos
Autores: Torres Domínguez, Marta Natalia, Barberia, Itxaso, Rodríguez-Ferreiro, Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/197227
Acceso en línea:https://hdl.handle.net/2445/197227
Access Level:acceso abierto
Palabra clave:Pseudociència
Estats Units d'Amèrica
Qüestionaris
Pseudoscience
United States
Questionnaires
Descripción
Sumario:Pseudoscientific beliefs are widespread and have potentially harmful consequences. Being able to identify their presence and recognize the factors characterizing their endorsement is crucial to understanding their prevalence. In this preregistered study, we validated the English version of the Pseudoscience Endorsement Scale and investigated its correlates. A group of volunteers (n = 510), representative of the U.S. population, responded to this scale and to questionnaires measuring the presence of paranormal, denialist, and conspiracist beliefs. The validation resulted in a shorter version of the scale, the sPES. Participants also completed a scientific literacy questionnaire as well as bullshit detection and cognitive reflection tests. Scores obtained on the questionnaires corresponding to different unwarranted beliefs correlated with each other, suggesting a possible common basis. Scientific knowledge, cognitive reflection scores, and bullshit sensitivity were negatively associated with scores on the pseudoscience scale. Of note, bullshit receptivity was the main contributor in a model predicting pseudoscience endorsement.