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Counterfactual reasoning as a framework for attribution theories

Bibliographic Data

ID4421063
AuthorsMarlys Gascho Lipe (University of Michigan, corresponding author)
Year1991
Volume109
Issue3
Pages456-471
Publication date1991-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0033-2909.109.3.456
OpenAlexW2136943772
LanguageEN
Citations received15
References cited39

It is proposed that all of the major attribution theories are based on the use of counterfactual information (which examines whether the event would have occured if the proposed cause had not occurred). However, because counterfactual information is difficult to obtain, 2 proxies are often substituted for it. A model based on these proxies ― covariation data and information regarding alternative explanations ― is proposed. This model is used as a framework for understanding the use and success of Kelley's analysis of variance model; Jones and Davis' correspondent inference theory; Weiner's theory for attributions of success and failure; Jaspars, Hewstone, and Fincham's natural logic model; and Hilton and Slugoski's abnormal conditions focus model. The model is also used to provide an understanding of the fundamental attribution error and actor-observer attributional differences

Attribution · Cognitive psychology · Counterfactual conditional · Counterfactual thinking · Bayesian Modeling and Causal Inference · Computer Science · Deception detection and forensic psychology · Decision-Making and Behavioral Economics · Forecasting Techniques and Applications · Psychology · Social Psychology

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Unique citing works15
Citations per year0,45
Citation span1993 - 2026 (34)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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