{"pk":30843,"title":"A Framework  for Psychological Causal Induction: Integrating the Power and Covariation Views","subtitle":null,"abstract":"We propose a theoretical framework for interpreting the roles of covariation and the idea of in psychological causal induction. According to this framework, the computation of inference is purely covariation-based, but covariation is computed only on a set of selected dimensions in a set of selected events. Whether or not a dimension has power or efficacy exerts an influence on whether or not that dimension is selected. W e present an experiment testing two predictions based on this framework. Our experiment showed a strong bias towards inferring a movement by a human agent (compared to a state) to be the cause of an event. In support of our hypothesis, this bias was found only when the state was not salient and the inference was made within a relatively short time, suggesting that the bias occurred at the selection stage.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5n77r4fk","frozenauthors":[{"first_name":"Yuann-wen","middle_name":"","last_name":"Lien","name_suffix":"","institution":"University of California Los Angeles","department":""},{"first_name":"Patricia","middle_name":"W.","last_name":"Cheng","name_suffix":"","institution":"University of California Los Angeles","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1989-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30843/galley/20692/download/"}]}