作者: Stefanie Maris , Vera Hoorens
DOI: 10.1002/EJSP.1997
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摘要: Various causal attribution theories, starting with the covariation model, argue that people use consensus, distinctiveness, and consistency information to causally explain events behaviors. Yet, visual presentation of model in form a cube is based on assumptions these dimensions generally affect attributions independently, symmetrically, equally. A Gricean analysis suggests may not hold case judgments for verbally communicated interpersonal events. We had participants judge role an actor patient were described through actor-verb-patient sentences under high versus low consensus distinctiveness (Studies 1, 2, 3) or without such 2 3). As predicted by logic, effects causality ratings depended target whose assessed, about alternative dimension, and, most consistently, being low. Copyright © 2013 John Wiley & Sons, Ltd.