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The Effect of Graphical and Numerical Presentation of Hypothetical Prenatal Diagnosis Results on Risk Perception

Author

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  • Michael Siegrist

    (Institute for Environmental Decisions, Consumer Behavior, Zürich, Switzerland, msiegrist@ethz.ch)

  • Pascale Orlow

    (Institute for Environmental Decisions, Consumer Behavior, Zürich, Switzerland)

  • Carmen Keller

    (Institute for Environmental Decisions, Consumer Behavior, Zürich, Switzerland)

Abstract

Objective. To evaluate various formats for the communication of prenatal test results. Design. In study 1 ( N= 400), female students completed a questionnaire assessing risk perception, affect, and perceived usefulness of prenatal test results. A randomized, 2 (risk level; low, high) × 4 (format; ratio with numerator 1, ratio with denominator 1000, Paling Perspective Scale, pictograms) design was used. Study 2 ( N= 200) employed a 2 (risk level; low, high) × 2 (format; Paling Perspective Scale, risk comparisons in numerical format) design. Results. In study 1, the Paling Perspective Scale resulted in a higher level of perceived risk across different risk levels compared with the other formats. Furthermore, participants in the low-risk group perceived the test results as less risky compared with participants in the high-risk group ( P

Suggested Citation

  • 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.
    • Handle: RePEc:sae:medema:v:28:y:2008:i:4:p:567-574
    DOI: 10.1177/0272989X08315237
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    References listed on IDEAS

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    Cited by:

    1. Carmen Keller & Michael Siegrist, 2009. "Effect of Risk Communication Formats on Risk Perception Depending on Numeracy," Medical Decision Making, , vol. 29(4), pages 483-490, July.
    2. Carmen Keller & Michael Siegrist & Vivianne Visschers, 2009. "Effect of Risk Ladder Format on Risk Perception in High‐ and Low‐Numerate Individuals," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1255-1264, September.
    3. Helen Fischer & Stefanie Schütte & Anneliese Depoux & Dorothee Amelung & Rainer Sauerborn, 2018. "How Well Do COP22 Attendees Understand Graphs on Climate Change Health Impacts from the Fifth IPCC Assessment Report?," IJERPH, MDPI, vol. 15(5), pages 1-11, April.
    4. Michael Siegrist & Carmen Keller, 2011. "Natural frequencies and Bayesian reasoning: the impact of formal education and problem context," Journal of Risk Research, Taylor & Francis Journals, vol. 14(9), pages 1039-1055, October.
    5. Carmen Keller, 2011. "Using a Familiar Risk Comparison Within a Risk Ladder to Improve Risk Understanding by Low Numerates: A Study of Visual Attention," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1043-1054, July.
    6. 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.
    7. Rebecca Hess & Vivianne H.M. Visschers & Michael Siegrist & Carmen Keller, 2011. "How do people perceive graphical risk communication? The role of subjective numeracy," Journal of Risk Research, Taylor & Francis Journals, vol. 14(1), pages 47-61, January.

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