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White, Peter A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
When people make causal judgments from contingency information, a principal aim is to account for occurrences of the outcome. When 2 causes are under consideration, the capacity of either to account for occurrences is judged from how likely the cause is to be present when the outcome occurs and from the rate at which the outcome occurs when that…
Descriptors: Prediction, Influences, Evaluative Thinking, Weighted Scores
White, Peter A. – Psychological Review, 2009
Impressions of force are commonplace in the visual perception of objects interacting. It is proposed that these impressions have their source in haptically mediated experiences of exertion of force in actions on objects. Visual impressions of force in interactions between objects occur by a kind of generalization of the proprioceptive impression…
Descriptors: Causal Models, Visual Perception, Cognitive Psychology, Visual Stimuli
White, Peter A. – Psychological Review, 2006
It is hypothesized that there is a pervasive and fundamental bias in humans' understanding of physical causation: Once the roles of cause and effect are assigned to objects in interactions, people tend to overestimate the strength and importance of the causal object and underestimate that of the effect object in bringing about the outcome. This…
Descriptors: Psychological Evaluation, Evaluation Methods, Influences, Attribution Theory
White, Peter A. – Psychological Review, 2005
This paper comments on the articles by Cheng and by Novick and Cheng. It has been claimed that the power PC theory reconciles regularity and power theories of causal judgment by showing how contingency information is used for inferences about unobservable causal powers. Under the causal powers theory causal relations are understood as generative…
Descriptors: Inferences, Attribution Theory, Causal Models, Power Structure
White, Peter A. – Psychological Review, 2005
Comments on the response offered by Cheng and Novick to White's initial comments on Cheng's and Cheng and Novick's previous articles. White asks if regularity information necessary for causal learning. He and Cheng and Novick agree that the causal relation is understood as a generative relation, but disagree on how this understanding comes about.…
Descriptors: Differences, Review (Reexamination), Interrater Reliability, Error Correction