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dc.contributor.authorChaxel, Anne-Sophieen
dc.contributor.authorRusso, J. Edwarden
dc.contributor.authorKerimi, Nedaen
dc.description.abstractWhile it is well established that the search for information after a decision is biased toward supporting that decision, the case of preference-supporting search before the decision remains open. Three studies of consumer choices consistently found a complete absence of a pre-choice bias toward searching for preference-supporting information. The absence of this confirming search bias occurred for products that were both hedonic and utilitarian, both expensive and inexpensive, and both high and low in expected brand loyalty. Experiment 3 also verified the presence of the expected post-choice search bias to support the chosen alternative. Therefore the absence of a pre-choice search bias in all three studies was not likely to be due to our using a method that was so insensitive that a search bias would not be observed under any circumstances. In addition to the absence of an effect of prior preferences on information selection, subjects’ self-reported search strategies exhibited a clear tendency toward a balance of positive and negative information. Across the three studies, we also tested for the presence of a preference-supporting bias in the evaluation of the information acquired in the search process. This evaluation bias was found both pre- and post-choice.en
dc.publisherSociety for Judgment and Decision Making (SJDM) and the European Association for Decision Making (EADM)en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 United Statesen
dc.subjectdecision makingen
dc.subjectpredecisional distortionen
dc.subjectinformation searchen
dc.subjectselective exposureen
dc.titlePreference-driven biases in decision makers’ information search and evaluationen
dc.description.notespp. 561–576en
dc.title.serialJudgment and Decision Makingen

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States