Premium
Predicting belief in paranormal phenomena: a comparison of conditional and probabilistic reasoning
Author(s) -
Roberts Maxwell J.,
Seager Paul B.
Publication year - 1999
Publication title -
applied cognitive psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 100
eISSN - 1099-0720
pISSN - 0888-4080
DOI - 10.1002/(sici)1099-0720(199910)13:5<443::aid-acp592>3.0.co;2-k
Subject(s) - paranormal , psychology , probabilistic logic , skepticism , verbal reasoning , analytic reasoning , cognitive psychology , social psychology , cognition , deductive reasoning , artificial intelligence , epistemology , computer science , medicine , philosophy , alternative medicine , pathology , neuroscience
Previous studies, using student participants, have investigated conditional reasoning (Wierzbicki, 1985) and probabilistic reasoning (Blackmore and Troscianko, 1985) separately as predictors of belief in paranormal phenomena. Findings show that the fewer reasoning errors made, the less likely people are to believe. The current study investigated both types of reasoning within the same analysis in order to find the extent to which each would predict paranormal belief by itself. Sixty‐five non‐undergraduate participants completed two self‐report questionnaires to ascertain their degree of belief in the paranormal, and a reasoning test. The expected negative correlation between reasoning ability and paranormal belief was found. However, while conditional reasoning scores predicted paranormal belief ( r =−0.27), probabilistic reasoning scores did not ( r =0.01). It was noted that the sample used was possibly biased, due to a lack of sufficiently sceptical participants, and that future studies may need to target people with different degrees of belief. Copyright © 1999 John Wiley & Sons, Ltd.