Literature DB >> 25151252

Motivated perception of probabilistic information.

Heather C Lench1, Rachel Smallman2, Kathleen E Darbor2, Shane W Bench2.   

Abstract

Desirability bias is the tendency to judge that, all else being equal, positive outcomes are more likely to occur than negative outcomes. The provision of probabilistic information about the likelihood that events will occur is typically viewed as a way to influence judgments by grounding them in objective information. Yet probabilistic information may be perceived differently when people are motivated to arrive at a particular conclusion, enabling the desirability bias. The present investigation explored how probabilistic information is used and perceived when people are motivated. In a game of chance, desirability bias was present for judgments about the likelihood of outcomes occurring to the self but not an unaffiliated other despite equal probabilities (Study 1). Probabilities were perceived as having more variance, both subjectively and in terms of probability spread (Studies 2, 3a, and 5), when participants were motivated to arrive at a particular conclusion (for the self or another person on the same team). Further, desirability bias was greater when probabilities were perceived as having more variance, either due to wide versus narrow probability ranges or subjective uncertainty (Studies 3b and 4). Together, these findings demonstrate that people perceive probabilistic information as having more variance when they are motivated to arrive at a conclusion and that this greater perceived variability contributes to bias in judgment.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automatic optimism; Desirability bias; Risk judgments; Social judgments; Unrealistic optimism

Mesh:

Year:  2014        PMID: 25151252     DOI: 10.1016/j.cognition.2014.08.001

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  2 in total

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Authors:  Stephan Lewandowsky; Timothy Ballard; Richard D Pancost
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-11-28       Impact factor: 4.226

2.  Does 'When' really feel more certain than 'If'? Two failures to replicate Ballard and Lewandowsky (2015).

Authors:  David Sleeth-Keppler; Stephan Lewandowsky; Timothy Ballard; Teresa A Myers; Connie Roser-Renouf; Edward Maibach
Journal:  R Soc Open Sci       Date:  2019-07-10       Impact factor: 2.963

  2 in total

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