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Examining the Relationship Between Affect and Implicit Associations: Implications for Risk Perception

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  • Simone Dohle
  • Carmen Keller
  • Michael Siegrist

Abstract

It has been suggested that affect may play an important role in risk perception. Slovic et al. argued that people make use of the “affect heuristic” when assessing risks because it is easier and more efficient to rely on spontaneous affective reactions than to analyze all available information. In the present studies, a single category implicit association test (SC‐IAT) to measure associations evoked by different hazards was employed. In the first study, we tested the extent to which the SC‐IAT corresponds to the theoretical construct of affect in a risk framework. Specifically, we found that the SC‐IAT correlates with other explicit measures that claim to measure affect, as well as with a measure of trust, but not with a measure that captures a different construct (subjective knowledge). In the second study, we addressed the question of whether hazards that vary along the dread dimension of the psychometric paradigm also differ in the affect they evoke. The results of the SC‐IAT indicated that a high‐dread hazard (nuclear power) elicits negative associations. Moreover, the high‐dread hazard evoked more negative associations than a medium‐dread hazard (hydroelectric power). In contrast, a nondread hazard (home appliances) led to positive associations. The results of our study highlight the importance of affect in shaping attitudes and opinions toward risks. The results further suggest that implicit measures may provide valuable insight into people's risk perception above and beyond explicit measures.

Suggested Citation

  • Simone Dohle & Carmen Keller & Michael Siegrist, 2010. "Examining the Relationship Between Affect and Implicit Associations: Implications for Risk Perception," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1116-1128, July.
  • Handle: RePEc:wly:riskan:v:30:y:2010:i:7:p:1116-1128
    DOI: 10.1111/j.1539-6924.2010.01404.x
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    References listed on IDEAS

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    1. Michael Siegrist & Carmen Keller & Henk A. L. Kiers, 2005. "A New Look at the Psychometric Paradigm of Perception of Hazards," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 211-222, February.
    2. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    3. Vivianne H. M. Visschers & Ree M. Meertens & Wim F. Passchier & Nanne K. de Vries, 2007. "An Associative Approach to Risk Perception: Measuring the Effects of Risk Communications Directly and Indirectly>1?tpb=-6pt?>," Journal of Risk Research, Taylor & Francis Journals, vol. 10(3), pages 371-383, April.
    4. Michael Siegrist & Carmen Keller & Marie‐Eve Cousin, 2006. "Implicit Attitudes Toward Nuclear Power and Mobile Phone Base Stations: Support for the Affect Heuristic," Risk Analysis, John Wiley & Sons, vol. 26(4), pages 1021-1029, August.
    5. Eric Luis Uhlmann & Anthony Greenwald & Andrew Poehlmann & Mahzarin Banaji, 2009. "Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity," Post-Print hal-00516146, HAL.
    6. Mathew P. White & J. Richard Eiser & Peter R. Harris & Sabine Pahl, 2007. "Who Reaps the Benefits, Who Bears the Risks? Comparative Optimism, Comparative Utility, and Regulatory Preferences for Mobile Phone Technology," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 741-753, June.
    7. Ali Siddiq Alhakami & Paul Slovic, 1994. "A Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1085-1096, December.
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    Cited by:

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    2. Ian G. J. Dawson, 2018. "Assessing the Effects of Information About Global Population Growth on Risk Perceptions and Support for Mitigation and Prevention Strategies," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2222-2241, October.
    3. Kazuya Nakayachi & Kazuhisa Nagaya, 2016. "The Effects of the Passage of Time from the 2011 Tohoku Earthquake on the Public’s Anxiety about a Variety of Hazards," IJERPH, MDPI, vol. 13(9), pages 1-12, August.
    4. Michael Siegrist & Bernadette Sütterlin, 2014. "Human and Nature‐Caused Hazards: The Affect Heuristic Causes Biased Decisions," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1482-1494, August.
    5. Kazuya Nakayachi, 2013. "The Unintended Effects of Risk‐Refuting Information on Anxiety," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 80-91, January.
    6. Goda Perlaviciute & Linda Steg & Nadja Contzen & Sabine Roeser & Nicole Huijts, 2018. "Emotional Responses to Energy Projects: Insights for Responsible Decision Making in a Sustainable Energy Transition," Sustainability, MDPI, vol. 10(7), pages 1-12, July.
    7. Hongjie (Thomas) Zhang & Jen Sern Tham & Moniza Waheed, 2022. "The Effects of Receiving and Expressing Health Information on Social Media during the COVID-19 Infodemic: An Online Survey among Malaysians," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    8. Ian G. J. Dawson & Johnnie E. V. Johnson, 2017. "Does Size Matter? A Study of Risk Perceptions of Global Population Growth," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 65-81, January.
    9. Chris M. R. Smerecnik & Ilse Mesters & Math J. J. M. Candel & Hein De Vries & Nanne K. De Vries, 2012. "Risk Perception and Information Processing: The Development and Validation of a Questionnaire to Assess Self‐Reported Information Processing," Risk Analysis, John Wiley & Sons, vol. 32(1), pages 54-66, January.
    10. Ian G. J. Dawson & Johnnie E. V. Johnson, 2014. "Growing Pains: How Risk Perception and Risk Communication Research Can Help to Manage the Challenges of Global Population Growth," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1378-1390, August.

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