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Risk Perception Survey (Psychometric Paradigm)

The risk perception survey, or psychometric paradigm, measures how laypeople intuitively judge the riskiness of hazards by having respondents rate many activities and technologies on a battery of qualitative risk characteristics. Baruch Fischhoff, Paul Slovic, and colleagues introduced the approach in their 1978 study 'How Safe Is Safe Enough?', and Slovic's 1987 Science synthesis 'Perception of Risk' established it as the dominant empirical framework for studying risk attitudes. The central finding is that perceived risk is highly predictable from a handful of qualities — above all how dreaded and how unknown a hazard feels — rather than from expert estimates of expected fatalities. Factor analysis of the characteristic ratings collapses the many attributes into a low-dimensional cognitive map, typically a 'dread' and an 'unknown risk' axis, in which each hazard occupies a position. Where a hazard falls in this space predicts public concern, desired regulation, and acceptance far better than its statistical death toll. The method gave environmental and technological controversy a measurable psychological structure and remains foundational to risk communication.

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  1. Slovic, P. (1987). Perception of Risk. Science, 236(4799), 280-285. DOI: 10.1126/science.3563507
  2. Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S., & Combs, B. (1978). How Safe Is Safe Enough? A Psychometric Study of Attitudes Towards Technological Risks and Benefits. Policy Sciences, 9(2), 127-152. DOI: 10.1007/BF00143739

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ScholarGate. (2026, June 23). Risk Perception Survey (Slovic's Psychometric Paradigm of Perceived Risk). ScholarGate. https://scholargate.app/et/environmental-sociology/risk-perception-survey

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ScholarGateRisk Perception Survey (Psychometric Paradigm) (Risk Perception Survey (Slovic's Psychometric Paradigm of Perceived Risk)). Loetud 2026-06-25 aadressilt https://scholargate.app/et/environmental-sociology/risk-perception-survey · Andmestik: https://doi.org/10.5281/zenodo.20539026