6 found
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  1.  44
    Measuring psychological uncertainty: Verbal versus numeric methods.Paul D. Windschitl & Gary L. Wells - 1996 - Journal of Experimental Psychology: Applied 2 (4):343.
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  2.  53
    Hoping for more: The influence of outcome desirability on information seeking and predictions about relative quantities.Aaron M. Scherer, Paul D. Windschitl, Jillian O’Rourke & Andrew R. Smith - 2012 - Cognition 125 (1):113-117.
  3.  43
    Base rates do not constrain nonprobability judgments.Paul D. Windschitl & Gary L. Wells - 1996 - Behavioral and Brain Sciences 19 (1):40-41.
    Base rates have no necessary relation to judgments that are not themselves probabilities. There is no logical imperative, for instance, that behavioral base rates must affect causal attributions or that base rate information should affect judgments of legal liability. Decision theorists should be cautious in arguing that base rates place normative constraints on judgments of anything other than posterior probabilities.
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  4.  20
    An integrated approach to biases in referent-specific judgments.Andrew R. Smith, Paul D. Windschitl & Jason P. Rose - 2020 - Thinking and Reasoning 26 (4):581-614.
    Judgments of direct comparisons, probabilities, proportions, and ranks can all be considered referent-specific judgments, for which a good estimate requires a target to be compared against...
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  5.  38
    Risk it? Direct and collateral impacts of peers' verbal expressions about hazard likelihoods.Paul D. Windschitl, Andrew R. Smith, Aaron M. Scherer & Jerry Suls - 2017 - Thinking and Reasoning 23 (3):259-291.
    When people encounter potential hazards, their expectations and behaviours can be shaped by a variety of factors including other people's expressions of verbal likelihood. What is the impact of such expressions when a person also has numeric likelihood estimates from the same source? Two studies used a new task involving an abstract virtual environment in which people learned about and reacted to novel hazards. Verbal expressions attributed to peers influenced participants’ behaviour toward hazards even when numeric estimates were also available. (...)
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  6.  17
    The desirability bias in predictions under aleatory and epistemic uncertainty.Paul D. Windschitl, Jane E. Miller, Inkyung Park, Shanon Rule, Ashley Clary & Andrew R. Smith - 2022 - Cognition 229 (C):105254.
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