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Affective and Cognitive Factors Influencing Sensitivity to Probabilistic Information

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  • Tadeusz Tyszka
  • Przemyslaw Sawicki

Abstract

In study 1 different groups of female students were randomly assigned to one of four probabilistic information formats. Five different levels of probability of a genetic disease in an unborn child were presented to participants (within‐subject factor). After the presentation of the probability level, participants were requested to indicate the acceptable level of pain they would tolerate to avoid the disease (in their unborn child), their subjective evaluation of the disease risk, and their subjective evaluation of being worried by this risk. The results of study 1 confirmed the hypothesis that an experience‐based probability format decreases the subjective sense of worry about the disease, thus, presumably, weakening the tendency to overrate the probability of rare events. Study 2 showed that for the emotionally laden stimuli, the experience‐based probability format resulted in higher sensitivity to probability variations than other formats of probabilistic information. These advantages of the experience‐based probability format are interpreted in terms of two systems of information processing: the rational deliberative versus the affective experiential and the principle of stimulus‐response compatibility.

Suggested Citation

  • Tadeusz Tyszka & Przemyslaw Sawicki, 2011. "Affective and Cognitive Factors Influencing Sensitivity to Probabilistic Information," Risk Analysis, John Wiley & Sons, vol. 31(11), pages 1832-1845, November.
  • Handle: RePEc:wly:riskan:v:31:y:2011:i:11:p:1832-1845
    DOI: 10.1111/j.1539-6924.2011.01644.x
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Kunreuther, Howard & Novemsky, Nathan & Kahneman, Daniel, 2001. "Making Low Probabilities Useful," Journal of Risk and Uncertainty, Springer, vol. 23(2), pages 103-120, September.
    3. Jessica S. Ancker & Elke U. Weber & Rita Kukafka, 2011. "Effect of Arrangement of Stick Figures on Estimates of Proportion in Risk Graphics," Medical Decision Making, , vol. 31(1), pages 143-150, January.
    4. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    5. Michael Siegrist & Pascale Orlow & Carmen Keller, 2008. "The Effect of Graphical and Numerical Presentation of Hypothetical Prenatal Diagnosis Results on Risk Perception," Medical Decision Making, , vol. 28(4), pages 567-574, July.
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    Cited by:

    1. Julija Michailova & Tadeusz Tyszka & Katarzyna Pfeifer, 2017. "Are People Interested in Probabilities of Natural Disasters?," Risk Analysis, John Wiley & Sons, vol. 37(5), pages 1005-1017, May.
    2. Bonnie A. Armstrong & Erika P. Sparrow & Julia Spaniol, 2020. "The Effect of Information Formats and Incidental Affect on Prior and Posterior Probability Judgments," Medical Decision Making, , vol. 40(5), pages 680-692, July.
    3. Bonnie Armstrong & Julia Spaniol, 2017. "Experienced Probabilities Increase Understanding of Diagnostic Test Results in Younger and Older Adults," Medical Decision Making, , vol. 37(6), pages 670-679, August.

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