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Exploring the “Psychometric Paradigm”: Comparisons Between Aggregate and Individual Analyses

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  • Claire Marris
  • Ian Langford
  • Thomas Saunderson
  • Timothy O'Riordan

Abstract

The “psychometric paradigm” developed by Slovic, Fischhoff, and Lichtenstein was a landmark in research about public attitudes toward risks. One problem with this work, however, was that (at least initially) it did not attempt to distinguish between individuals or groups of people, except “experts” vs. “lay people.” This paradigm produced a “cognitive map” of hazards, and the assumption seemed to be that the characteristics identified were inherent attributes of risk. This paper examines the validity of this assumption. A questionnaire survey similar to those designed by Slovic et al. was conducted, but the data were analyzed at both the aggregate level, using mean scores, and at the level of individuals (N= 131 Norwich residents). The results reported here demonstrate that (1) individuals vary in their perception of the same risk issue; (2) individuals vary in their rating of the same risk characteristics on the same risk issue; and (3) some of the strong intercorrelations observed between risk characteristics at the aggregate level are not supported when the same data are analysed at the level of individuals. Despite these findings, the relationship between risk characteristics and risk perceptions inferred by the psychometric paradigm did hold true at the level of individuals, for most—but not all—of the characteristics. In particular, the relationship between “lack of knowledge to those exposed” and risk perceptions appears to be a complex one, a finding which has important implications for risk communication strategies.

Suggested Citation

  • Claire Marris & Ian Langford & Thomas Saunderson & Timothy O'Riordan, 1997. "Exploring the “Psychometric Paradigm”: Comparisons Between Aggregate and Individual Analyses," Risk Analysis, John Wiley & Sons, vol. 17(3), pages 303-312, June.
    • Handle: RePEc:wly:riskan:v:17:y:1997:i:3:p:303-312
    DOI: 10.1111/j.1539-6924.1997.tb00868.x
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    References listed on IDEAS

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    1. Paul Slovic & Baruch Fischhoff & Sarah Lichtenstein, 1982. "Why Study Risk Perception?," Risk Analysis, John Wiley & Sons, vol. 2(2), pages 83-93, June.
    2. Christina M. Harding & J. Richard Eiser, 1984. "Characterising the Perceived Risks and Benefits of Some Health Issues," Risk Analysis, John Wiley & Sons, vol. 4(2), pages 131-141, June.
    3. Gerald T. Gardner & Leroy C. Gould, 1989. "Public Perceptions of the Risks and Benefits of Technology," Risk Analysis, John Wiley & Sons, vol. 9(2), pages 225-242, June.
    4. Iddo K. Wernick, 1996. "Better Risk Information for Communities," Risk Analysis, John Wiley & Sons, vol. 16(5), pages 601-603, October.
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    5. Jingguo Wang & Nan Xiao & H. Raghav Rao, 2015. "Research Note—An Exploration of Risk Characteristics of Information Security Threats and Related Public Information Search Behavior," Information Systems Research, INFORMS, vol. 26(3), pages 619-633, September.
    6. Ho, Shirley S. & Looi, Jiemin & Chuah, Agnes S.F. & Leong, Alisius D. & Pang, Natalie, 2018. "“I can live with nuclear energy if…”: Exploring public perceptions of nuclear energy in Singapore," Energy Policy, Elsevier, vol. 120(C), pages 436-447.
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    10. Henry H. Willis & Michael L. DeKay, 2007. "The Roles of Group Membership, Beliefs, and Norms in Ecological Risk Perception," Risk Analysis, John Wiley & Sons, vol. 27(5), pages 1365-1380, October.

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