Evidence map›Paper›PMID 38714748›Full record

ArticleScientific reports2024

Objective numeracy exacerbates framing effects from decision-making under political risk.

Erin B Fitz, Dominik A Stecuła, Matthew P Hitt, Kyle L Saunders

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Erin B FitzDepartment of Political Science, Colorado State University, Fort Collins, USA. erin.fitz@colostate.edu.ORCID 0000-0002-0780-0524
Dominik A StecułaSchool of Communication and Department of Political Science, The Ohio State University, Columbus, USA.ORCID 0000-0001-6724-7559
Matthew P HittDepartment of Political Science, Colorado State University, Fort Collins, USA.ORCID 0000-0003-0762-1929
Kyle L SaundersDepartment of Political Science, Colorado State University, Fort Collins, USA.ORCID 0000-0003-4023-8729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While Prospect Theory helps to explain decision-making under risk, studies often base frames on hypothetical events and fail to acknowledge that many individuals lack the ability and motivation to engage in complex thinking. We use an original survey of US adults (N = 2813) to test Prospect Theory in the context of the May 2023 debt ceiling negotiations in the US Congress and assess whether objective numeracy moderates framing effects. We hypothesize and find evidence to suggest that most respondents are risk-averse to potential gains and risk-accepting to potential losses; however, high numerates are more risk-averse and risk-accepting to gains and losses, respectively, than low numerates. We also find that need for cognition interacts with numeracy to moderate framing effects for prospective losses, such that higher need for cognition attenuates risk-acceptance among low numerates and exacerbates risk-acceptance among high numerates. Our results are robust to a range of other covariates and in models accounting for the interaction between political knowledge and need for cognition, indicating joint moderating effects from two knowledge domains similarly conditioned by the desire to engage in effortful thinking. Our findings demonstrate that those who can understand and use objective information may remain subjectively persuaded by certain policy frames.

Indexed as

Decision MakingPoliticsAdultCognitionFemaleHumansMaleMiddle AgedRisk-TakingSurveys and QuestionnairesUnited StatesDecision-makingFraming effectsNumeracyPolitical knowledgeProspect theoryRiskUS congress

Identifiers

PMID38714748
PMCPMC11076582

What OpenQuestion holds

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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.