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A Deliberative Method for Ranking Risks (II): Evaluation of Validity and Agreement among Risk Managers
Author(s) -
Morgan Kara M.,
DeKay Michael L.,
Fischbeck Paul S.,
Morgan M. Granger,
Fischhoff Baruch,
Florig H. Keith
Publication year - 2001
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/0272-4332.215162
Subject(s) - ranking (information retrieval) , consistency (knowledge bases) , variance (accounting) , construct (python library) , set (abstract data type) , actuarial science , risk assessment , psychology , risk management , risk analysis (engineering) , mathematics , computer science , business , finance , accounting , computer security , programming language , geometry , machine learning
A deliberative method for ranking risks was evaluated in a study involving 218 risk managers. Both holistic and multiattribute procedures were used to assess individual and group rankings of health and safety risks facing students at a fictitious middle school. Consistency between the rankings that emerged from these two procedures was reasonably high for individuals and for groups, suggesting that these procedures capture an underlying construct of riskiness. Participants reported high levels of satisfaction with their groups’ decision‐making processes and the resulting rankings, and these reports were corroborated by regression analyses. Risk rankings were similar across individuals and groups, even though individuals and groups did not always agree on the relative importance of risk attributes. Lower consistency between the risk rankings from the holistic and multiattribute procedures and lower agreement among individuals and groups regarding these rankings were observed for a set of high‐variance risks. Nonetheless, the generally high levels of consistency, satisfaction, and agreement suggest that this deliberative method is capable of producing risk rankings that can serve as informative inputs to public risk‐management decision making.