Nat Hum Behav April 2025 PMID 39870880

A systematic review and meta-analyses of the temporal stability and convergent validity of risk preference measures.

Alexandra Bagaïni, Yunrui Liu, Madlaina Kapoor, Gayoung Son, Paul-Christian Bürkner, Loreen Tisdall, Rui Mata

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Mentions

9
Peak: 3 in Feb 2025
across 4 sources since Feb 2025

Extended reach

1,201
potential audience

Total likes

0

Video views

17

Mentions per month

Feb 2025 – Mar 2025

Where it's discussed

  • News5 articles
  • Bluesky2 posts
  • X / Twitter1 posts
  • YouTube1 videos

AI synopsis

What people are saying

Discussions show overall support and curiosity about the research, highlighted by phrases such as 'crucial for understanding decision-making' and references to the study's scope. The tone varies from neutral summaries to slightly optimistic views about the research's influence, with some use of technical language pointing to engaged but not deeply invested analysis.

AgreementModerate agreement

Most discussions acknowledge the importance of assessing risk preference measures and their validity, aligning somewhat with the article's findings, as seen in supportive comments like 'convergent validity is crucial.'

InterestHigh interest

Posts demonstrate high interest, given the use of engaging phrases such as 'systematic review' and the inclusion of hashtags related to decision-making and behavior, reflecting curiosity about the research’s implications.

EngagementModerate engagement

Comments reflect moderate engagement through mentions of the methods and potential implications, but few delve deeply into methodological details, indicating a decent level of interest without extensive analysis.

ImpactModerate impact

Some posters suggest the findings could influence future research or policy, indicating a mild perceived impact, though none express overwhelming-shock or immediate application.

Abstract in brief

  • The study systematically reviews and combines data to examine how consistent and valid different ways of measuring risk preference are over time, analyzing responses from nearly 580,000 people across various samples and domains like investment and alcohol consumption.
  • The results show that measures based on self-reports (what people say about their risk tendencies) tend to be more stable over time compared to actual behavioral measures, but this varies depending on the risk domain and the age of respondents.
  • Importantly, the study finds low agreement between different risk measures, suggesting they may not all be capturing the same underlying trait, which raises concerns about how well risk preference is understood and measured as a single construct.

Top posts

Most liked on X and Bluesky
おくさん/OKUSUN
@Astella6174 · X

Nature Human Behaviour (2025) A systematic review and meta-analyses of the temporal stability and convergent validity of risk preference measures https://t.co/SJ3hwWrgk0

Mar 6, 2025 · 1,185 followers View post →
Latitude77
@latitude77.bsky.social · Bluesky

A systematic review and meta-analyses of the temporal stability and convergent validity of risk preference measures | Nature Human Behaviour #risk #preference #aversion #decisionmaking #behavior #heterogeneity #cognition

Feb 1, 2025 View post →

All mentions

おくさん/OKUSUN
@Astella6174 · X

Nature Human Behaviour (2025) A systematic review and meta-analyses of the temporal stability and convergent validity of risk preference measures https://t.co/SJ3hwWrgk0

Mar 6, 2025 · 1,185 followers View post →
サイコロ
@psychama.bsky.social · Bluesky

リスク選好の尺度の時間的安定性と収束的妥当性について検討したSysRev & メタ分析研究。 Bagaïni et al. (2025, Nat Hum Behav). https://doi.org/10.1038/s41562-024-02085-2 #サイコロabst

Feb 1, 2025 View post →
Latitude77
@latitude77.bsky.social · Bluesky

A systematic review and meta-analyses of the temporal stability and convergent validity of risk preference measures | Nature Human Behaviour #risk #preference #aversion #decisionmaking #behavior #heterogeneity #cognition

Feb 1, 2025 View post →