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Selecting explanations from causal chains: Do statistical principles explain preferences for voluntary causes?
Author(s) -
Hilton Denis J.,
McClure John,
Sutton Robbie M.
Publication year - 2010
Publication title -
european journal of social psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.609
H-Index - 111
eISSN - 1099-0992
pISSN - 0046-2772
DOI - 10.1002/ejsp.623
Subject(s) - psychology , causality (physics) , attribution , causal chain , preference , social psychology , turnover , action (physics) , voluntary action , cognition , cognitive psychology , perception , epistemology , physics , quantum mechanics , neuroscience , economics , microeconomics , philosophy , management
We investigate whether people prefer voluntary causes to physical causes in unfolding causal chains and whether statistical (covariation, sufficiency) principles can predict how people select explanations. Experiment 1 shows that while people tend to prefer a proximal (more recent) cause in chains of unfolding physical events, causality is traced through the proximal cause to an underlying distal (less recent) cause when that cause is a human action. Experiment 2 shows that causal preference is more strongly correlated with judgements of sufficiency and conditionalised sufficiency than with covariation or conditionalised covariation. In addition, sufficiency judgements are partial mediators of the effect of type of distal cause (voluntary or physical) on causal preference. The preference for voluntary causes to physical causes corroborates findings from social psychology, cognitive neuroscience and jurisprudence that emphasise the primacy of intentions in causal attribution processes. Copyright © 2009 John Wiley & Sons, Ltd.