Models of covariation-based causal judgment: a review and synthesis.

Models of covariation-based causal judgment: a review and synthesis. Research Abstract Details 

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Models of covariation-based causal judgment: a review and synthesis. Abstract Text:

Perales,David R Shanks, Perales,David R Shanks,

Causal judgment is assumed to play a central role in prediction, control, and explanation. Here, we consider the function or functions that map contingency information concerning the relationship between a single cue and a single outcome onto causal judgments. We evaluate normative accounts of causal induction and report the findings of an extensive meta-analysis in which we used a cross-validation model-fitting method and carried out a qualitative analysis of experimental trends in order to compare a number of alternative models. The best model to emerge from this competition is one in which judgments are based on the difference between the amount of confirming and disconfirming evidence. A rational justification for the use of this model is proposed.

Models of covariation-based causal judgment: a review and synthesis. Publishing Authors By Initials

JC Perales,DR Shanks,JC Perales,DR Shanks,

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Models of covariation-based causal judgment: a review and synthesis. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Psychonomic bulletin & review

VOLUME: 14

Page Numbers: 577-96

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ISSN: 1069-9384

DAY: 1

MONTH: Aug

YEAR: 2007

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LANGUAGE: eng

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Grant and Affiliation Information for Models of covariation-based causal judgment: a review and synthesis.

AFFILIATION: University of Granada, Granada, Spain. jcesar@ugr.es

Country: United States

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MEDLINETA: Psychon Bull Rev

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