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Common‐sense construction of causal processes in nature

A causal network analysis

Bibliographic Data

ID9620533
AuthorsPeter A White (0000-0002-9080-6678, University of Wales, corresponding author)
Year1995
Volume86
Issue3
Pages377-395
Publication date1995-08-01
Open AccessYes
TypeARTICLE
VenueBritish Journal of Psychology (JOURNAL)
Journal identifiersISSN: 0007-1269 • E-ISSN: 2044-8295
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.2044-8295.1995.tb02759.x
OpenAlexW2159517980
LanguageEN
Citations received2

This study is concerned with structural and content features of common‐sense beliefs about causal processes in nature. It is an attempt to replicate findings reported by White (1992) using a different method, causal network analysis. Subjects judged the presence and direction of causal relations among a set of entities describing various human, plant and animal parameters. Structurally, the resultant network was linear. In terms of content, human parameters tended to be dominant overall, and plant parameters tended to dominate animal parameters. Both these results replicate White's findings. Results also showed a degree of antagonism between the human and natural worlds: human increases were judged to lead to natural decreases and vice versa; on the other hand, both natural increases and decreases lead to human increases. Natural increases lead to natural increases and natural decreases to natural decreases: there was no sign of the kind of interaction between increase and decrease that would be characteristic of a natural systems view

Biology · Causal analysis · Causal structure · Causality (physics) · Cognitive psychology · Econometrics · Lead (geology) · Natural (archaeology) · Replicate · Set (abstract data type) · Sign (mathematics) · Statistics · White (mutation) · Animal and Plant Science Education · Chemistry · Computer Science · Mathematics · Plant and animal studies · Plant and Biological Electrophysiology Studies · Psychology · Social Psychology

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Citations per year0.15
Citation span2013 - 2015 (3)
Highly citedNo

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