Dissociating Affect and Deliberation in Choice Processes, 2001 (ICPSR 26281)

Principal Investigator(s): Peters, Ellen, Decision Research; Burraston, Burt, University of Oregon. Department of Sociology; Mertz, C.K., Decision Research


This study was conducted to examine hypotheses derived from an emotion-based model of stigma responses to radiation sources. A model of stigma susceptibility was proposed in which affective reactions and cognitive worldviews activate predispositions to appraise and experience events in systematic ways that result in the generation of negative emotion, risk perceptions, and stigma responses. For this study, a total of 198 respondents were asked about a series of 15 objects and activities: sun-tanning, radiation therapy for cancer control, microwave ovens, nuclear power plants, radiation from air travel, death of a favorite pet, medical x-rays, the upcoming spring break, natural background radiation, final exams for the term, radiation from nuclear weapons testing, radiation to prevent bacteria in food, a series of thefts or crimes in their neighborhoods, cosmic radiation, and radioactive waste from nuclear power plants. Providing ratings on 17 scales, respondents gave their feelings about each object or activity, offered their opinions on situations wherein the object or activity would or would not be of concern, the impact of the object or activity in their lives, and their adjustment to situations involving the object or activity. Queries also included how angry and afraid the object or activity made respondents, and how risky, disgraceful, moral, acceptable, and stigmatized they felt it was. Finally, participants provided self-report ratings of affective reactivity and worldviews.

Access Notes

  • Data in this collection are available only to users at ICPSR member institutions. Please log in so we can determine if you are with a member institution and have access to these data files.

  • ICPSR Logo

    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.


Dataset - Download All Files (2.808 MB)
SAS    SPSS    Stata    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   

Study Description


Peters, Ellen, Burt Burraston, and C.K. Mertz. Dissociating Affect and Deliberation in Choice Processes, 2001. ICPSR26281-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2010-01-25. https://doi.org/10.3886/ICPSR26281.v1

Persistent URL: https://doi.org/10.3886/ICPSR26281.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote XML (EndNote X4.0.1 or higher)


This study was funded by:

  • United States Department of Energy. Office of Science. Office of Biological and Environmental Research
  • National Science Foundation (SBR 9876587, SES 0111941)

Scope of Study

Subject Terms:    control, electromagnetic radiation, emotional states, health, health behavior, influence, judgment, moral judgment, nuclear energy, perceptions, personal adjustment, power plants, prediction, radiation, radioactive wastes, responsibility, risk, risk assessment, risk factors

Geographic Coverage:    Oregon, United States

Time Period:   

  • 2001-09

Date of Collection:   

  • 2001-10

Unit of Observation:    individual

Universe:    College students.

Data Type(s):    experimental data

Data Collection Notes:

There are four variables: GOOD6, GOOD12, GOOD13, and GOOD14, present in the dataset for which no clear explanation has been given.

For a more detailed description of the methodology, results, and discussion of the study, please refer to the Peters et al. article included in the ICPSR codebook.


Sample:    Convenience sample.

Mode of Data Collection:    self-enumerated questionnaire

Presence of Common Scales:    BIS (Behavioral Inhibition System) and BAS (Behavioral Activation System)


Original ICPSR Release:   2010-01-25

Related Publications



Metadata Exports

If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.

Download Statistics