This study examined the degree to which paranormal believers, who profess ‘strong’ belief in the popular expression of a topic known as the primary item (e.g., Psychics possess a mysterious ability to know things about a person’s past and future), disagree with related items and/or the putative ‘cause’ of the topic, known as secondary items (e.g., Some people have a mysterious ability to accurately predict such things as natural disasters, election results, political assassinations, etc.). It was theorized that scoring differences between primary and secondary items might indicate certain kinds of paranormal believer, which might then allow us to conduct deeper analyses of paranormal belief (PB) and its putative relationships with deficits and dysfunctions. A complete set of items drawn from ten established PB scales was administered to a sample of 343 respondents. Using Factor
Analysis, we developed the Paranormal Belief Informedness Scale (PBIS), consisting of 10 primary items, and 10 secondary items, scores of which were used to identify three major PB types: ‘primary believers’ (who believe in all 10 primary items, and thus exhibit ‘strong’ PB), ‘primary non-believers’ (who believe in none of the 10 primary items), and ‘mixed believers’ (who believe in only some primary items). We found signifi cant response-rate differences between primary and secondary items across believer types, and across psi categories (i.e. extra-sensory perception, psychokinesis, and life after death). For the full sample, it was shown that there is a significant relationship between PB and reality testing defi cits as measured on the reality testing subscale of the Inventory of Personality Organisation (IPO-RT) (Lenzenweger et al. 2001). However, this relationship tended not to be significant across believer types. Also, there was no evidence in the full sample, or in any believer type, that PB was correlated with depression as measured on the Beck Depression Inventory (BDI-II). We suggest that paranormal believers have differences that may be reflected in their responses to predictor variables, and/or how informed their paranormal belief is.
|Storm, L., Drinkwater, K., & Jinks, A. L. (2017). A question of belief: An analysis of item content in paranormal belief questionnaires. Journal of Scientific Exploration, 31(2), 31, 187-230.|