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Effect of Risk Ladder Format on Risk Perception in High‐ and Low‐Numerate Individuals

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  • Carmen Keller
  • Michael Siegrist
  • Vivianne Visschers

Abstract

Utilizing a random sample from the general population (N= 257), we examined the effect of the radon risk ladder on risk perception, as qualified by respondents’ numeracy. The radon risk ladder provides comparative risk information about the radon equivalent of smoking risk. We compared a risk ladder providing smoking risk information with a risk ladder not providing this information. A 2 (numeracy; high, low) × 3 (risk level; high, medium, low) × 2 (smoking risk comparison: with/without) between subjects experimental design was used. A significant (p

Suggested Citation

  • 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.
    • Handle: RePEc:wly:riskan:v:29:y:2009:i:9:p:1255-1264
    DOI: 10.1111/j.1539-6924.2009.01261.x
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    References listed on IDEAS

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    13. 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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    1. Milou Kievik & Ellen F.J. ter Huurne & Jan M. Gutteling, 2012. "The action suited to the word? Use of the framework of risk information seeking to understand risk-related behaviors," Journal of Risk Research, Taylor & Francis Journals, vol. 15(2), pages 131-147, February.
    2. Ian G. J. Dawson & Johnnie E. V. Johnson & Michelle A. Luke, 2013. "Helping Individuals to Understand Synergistic Risks: An Assessment of Message Contents Depicting Mechanistic and Probabilistic Concepts," Risk Analysis, John Wiley & Sons, vol. 33(5), pages 851-865, May.
    3. 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.

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