Affect, Reason, and Decision Making (ICPSR 24610) Published: Sep 22, 2009 View help for published Cite this Study | Share this study Share on Twitter Share on Facebook Share on LinkedIn × Citation Slovic, Paul, Finucane, Melissa, and Alhakami, Ali. Affect, Reason, and Decision Making. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-09-22. https://doi.org/10.3886/ICPSR24610.v1 Export Citation: RIS (generic format for RefWorks, EndNote, etc.) EndNote Principal Investigator(s): View help for Principal Investigator(s) Paul Slovic, Decision Research; Melissa Finucane, Decision Research; Ali Alhakami, Imam Muhammad Ibn Saud Islamic University (Saudi Arabia). Psychology Department https://doi.org/10.3886/ICPSR24610.v1 Version V1 Analyze Online Slide tabs to view more At A Glance Data & Documentation Variables Publications Export Metadata Staff Project Description Summary View help for Summary This study examines the commonly observed inverse relationship between perceived risk and perceived benefit. The researchers proposed that this relationship occurs because people rely on affect when judging the risk and benefit of specific hazards. The study tested and confirmed the hypothesis that providing information designed to alter the favorability of one's overall affective evaluation of an item (say nuclear power, natural gas, and food preservatives) would systematically change the risk and benefit judgments for that item. The study suggests that people seem prone to using an "affect heuristic" which improves judgmental efficiency by deriving both risk and benefit evaluations from a common source -- affective reactions to the stimulus item. Citation View help for Citation Slovic, Paul, Finucane, Melissa, and Alhakami, Ali. Affect, Reason, and Decision Making. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-09-22. https://doi.org/10.3886/ICPSR24610.v1 Export Citation: RIS (generic format for RefWorks, EndNote, etc.) EndNote Funding View help for Funding National Science Foundation (SBR 9422754), National Science Foundation (SBR 9709307) Subject Terms View help for Subject Terms decision making judgment natural gas nuclear energy nuclear power perceptions risk risk assessment risk factors Geographic Coverage View help for Geographic Coverage Oregon United States Australia Distributor(s) View help for Distributor(s) Inter-university Consortium for Political and Social Research Scope of Project Time Period(s) View help for Time Period(s) 1995 Date of Collection View help for Date of Collection 1997-08 -- 1999-07 Data Collection Notes View help for Data Collection Notes For a more detailed description of the study design, results, and discussion, please see the Finucane et al. paper included in the ICPSR codebook. Methodology Study Purpose View help for Study Purpose The purpose of this study was to re-examine the commonly observed inverse relationship between perceived risk and perceived benefit. Sample View help for Sample Convenience sample. Universe View help for Universe College students. Unit(s) of Observation View help for Unit(s) of Observation individual Data Type(s) View help for Data Type(s) experimental data Mode of Data Collection View help for Mode of Data Collection computer-assisted self interview (CASI) self-enumerated questionnaire Version(s) Original Release Date View help for Original Release Date 2009-09-22 Version Date View help for Version Date 2009-09-22 Version History View help for Version History 2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was: Slovic, Paul, Melissa Finucane, and Ali Alhakami. Affect, Reason, and Decision Making. ICPSR24610-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-09-22. http://doi.org/10.3886/ICPSR24610.v1 Notes Data in this collection are available only to users at ICPSR member institutions. This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.