The Use of narrative evidence and explicit likelihood by decisionmakers varying in numeracy

Nathan F. Dieckmann, Paul Slovic, Ellen M. Peters

    Research output: Contribution to journalArticle

    89 Scopus citations

    Abstract

    Decisionmakers are often presented with explicit likelihood assessments (e.g., there is a 10% chance that an attack will occur over the next three months) and supporting narrative evidence in forecasting and risk communication domains. Decisionmakers are thought to rely on both numerical and narrative information to the extent that they perceive the information to be diagnostic, accurate, and trustworthy. In two studies, we explored how lay decisionmakers varying in numeracy evaluated and used likelihood assessments and narrative evidence in forecasts. Overall, the less numerate reported higher risk and likelihood perceptions. In simple probabilistic forecasts without narrative evidence, decisionmakers at all levels of numeracy were able to use the stated likelihood information, although risk perceptions of the less numerate were more affected by likelihood format. When a forecast includes narrative evidence, decisionmakers were better able to use stated likelihood in a percentage as compared to frequency or verbal formats. The more numerate used stated likelihood more in their evaluations whereas the less numerate focused more on the narrative evidence. These results have important implications for risk analysts and forecasters who need to report the results of their analyses to decisionmakers. Decisionmakers varying in numerical ability may evaluate forecasts in different ways depending on the types of information they find easiest to evaluate.

    Original languageEnglish (US)
    Pages (from-to)1473-1488
    Number of pages16
    JournalRisk Analysis
    Volume29
    Issue number10
    DOIs
    StatePublished - Oct 1 2009

    Keywords

    • Forecasting
    • Intelligence analysis
    • Numeracy
    • Risk communication
    • Risk perception

    ASJC Scopus subject areas

    • Safety, Risk, Reliability and Quality
    • Physiology (medical)

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