Evidence map›Paper›PMID 30114338›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2018

Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents' Evaluations.

Wändi Bruine de Bruin, Katherine G Carman

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
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  11. Age Differences in COVID-19 Risk Perceptions and Mental Health: Evidence From a National U.S. Survey Conducted in March 2020.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021
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  12. Article
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  16. Reports of social circles' and own vaccination behavior: A national longitudinal survey.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Wändi Bruine de BruinCentre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK.
Katherine G CarmanRAND Corporation, Santa Monica, CA 90401, USA.

Funding

Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
WELL-BEING AND UTILITY IN PSYCHOLOGY AND ECONOMICSP01AG026571 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLIS, ROBERT J · 2005 to 2014
$9.9M
Roybal Center for Health Decision Making and Financial Independence in Old AgeP30AG024962 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2004 to 2018
$5.5M
Network for Studies on Pensions, Aging and RetirementNIA NIH HHS P01 AG026571NIA NIH HHS P30 AG024962NIA NIH HHS U01 AG054580Riksbankens Jubileumsfond Program on Science and Proven Experience
6 · The paper itself

Abstract

Subjective probabilities are central to risk assessment, decision making, and risk communication efforts. Surveys measuring probability judgments have traditionally used open-ended response modes, asking participants to generate a response between 0% and 100%. A typical finding is the seemingly excessive use of 50%, perhaps as an expression of "I don't know." In an online survey with a nationally representative sample of the Dutch population, we examined the effect of response modes on the use of 50% and other focal responses, predictive validity, and respondents' survey evaluations. Respondents assessed the probability of dying, getting the flu, and experiencing other health-related events. They were randomly assigned to a traditional open-ended response mode, a visual linear scale ranging from 0% to 100%, or a version of that visual linear scale on which a magnifier emerged after clicking on it. We found that, compared to the open-ended response mode, the visual linear and magnifier scale each reduced the use of 50%, 0%, and 100% responses, especially among respondents with low numeracy. Responses given with each response mode were valid, in terms of significant correlations with health behavior and outcomes. Where differences emerged, the visual scales seemed to have slightly better validity than the open-ended response mode. Both high-numerate and low-numerate respondents' evaluations of the surveys were highest for the visual linear scale. Our results have implications for subjective probability elicitation and survey design.

Indexed as

ProbabilityReproducibility of ResultsAdultCommunicationDecision MakingFemaleHealth BehaviorHumansJudgmentMaleMiddle AgedNetherlandsPsychometricsRegression AnalysisResearch DesignRisk AssessmentExpectationsresponse modesubjective probabilities

Identifiers

PMID30114338
PMCPMC7644146

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.