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Processing causally relevant information

Bibliographic Data

ID6206572
AuthorsRichard C Sherman (corresponding author), Kam Ming Lim (0000-0003-4814-9595), Steven D Seidel, Kathryne A Sinai, Et Al, Kristina M Newman, et al et al
Year1995
Volume68
Issue3
Pages365-376
Publication date1995-03-01
Open AccessNo
TypeARTICLE
VenueJournal of Personality and Social Psychology (JOURNAL)
Journal identifiersISSN: 0022-3514 • E-ISSN: 1939-1315
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/0022-3514.68.3.365
OpenAlexW2079809678, W4240027745
LanguageEN
Citations received2
References cited1

Two experiments tested an information-processing model of causal judgment proposed by D. L. Hamilton, P. D. Grubb, D. A. Acorn, T. K. Trolier, and S. Carpenter (1990). In Experiment 1 the explanatory quality (plausibility, sufficiency, and likelihood) of context information pertaining to a behavioral event was varied independently of its implications for internal or external causality. In Experiment 2 perceivers performed tasks requiring either item-specific elaboration or relational encoding of the information in addition to making external versus internal causal attributions. Results imply that (a) perceivers encode the causal potency of individual information items even when the judgment task requires only a general internal versus external attribution and (b) perceivers engage in multiple modes of encoding information, depending on the implicational structure of the information array and on the explanatory quality of the context items

Attribution · Causality (physics · Cognitive psychology · Context (archaeology · Encoding (memory · Epistemology · Information integration · Information processing · Quality (philosophy · Task (project management · Cognitive Science and Mapping · Computer Science · Decision-Making and Behavioral Economics · Psychology · Social Psychology

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Citations per year0.09
Citation span1994 - 2008 (15)
Highly citedNo

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