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Mind over matter? The cognitive styles of scientific scepticism and paranormal belief

Neil Dagnall, Andrew Denovan, Claire Murphy-Morgan, Kenneth Drinkwater, Danny Powell, Nick Neave

Frontiers in Psychology March 6, 2026 DOI: 10.3389/fpsyg.2026.1699045 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Cross-sectional survey with latent profile analysis Peer reviewed
Sample size 300
Population Adults (mean age 45.95, SD 14.32)
Keywords Paranormal Skepticism Cognition Cognitive style Parapsychology Belief system Cognitive psychology Epistemology
Key findings Scientific and paranormal beliefs represent oppositional worldviews associated with distinct, preferred modes of information processing: analytical-rational for scientific belief and intuitive-experiential for paranormal belief.

Abstract

Scientific scepticism, as an epistemic orientation, remains under-researched. This study investigated the interplay between belief in science, supernatural credence, and cognitive processing styles in a sample of 300 participants ( M age = 45.95, SD = 14.32). Traditional (TPB) and New Age (NAP) paranormal beliefs correlated positively with intuitive-experiential measures and negatively with analytical-rational processing indices. Belief in Science showed the inverse pattern of relationships. Latent Profile Analysis (LPA) identified two distinct subgroups: Higher Evidence-based Thinking (HET; 55%), defined by high scientific and low paranormal belief, and Lower Evidence-based Thinking (LET; 45%), characterized by low scientific and high paranormal belief. HET (vs. LET) participants demonstrated significantly greater analytical-rational and lower intuitive-experiential processing. Cognitive rigidity (dogmatism and need for closure) did not differentiate between profiles, suggesting these are belief-neutral characteristics of strongly held convictions. Findings indicated that scientific and paranormal beliefs represent oppositional worldviews associated with distinct, preferred modes of information processing.