Evidence map›Paper›PMID 28761784›Full record

ArticlePeerJ2017

The influence of mortality and socioeconomic status on risk and delayed rewards: a replication with British participants.

Gillian V Pepper, D Helen Corby, Rachel Bamber, Holly Smith, Nicky Wong, Daniel Nettle

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A marker of biological ageing predicts adult risk preference in European starlings,Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

6 authors.

Gillian V PepperNewcastle University, Newcastle Upon Tyne, Tyne and Wear, United Kingdom.
D Helen CorbyUniversity of Edinburgh, Edinburgh, United Kingdom.
Rachel BamberNewcastle University, Newcastle Upon Tyne, Tyne and Wear, United Kingdom.
Holly SmithNewcastle University, Newcastle Upon Tyne, Tyne and Wear, United Kingdom.
Nicky WongNewcastle University, Newcastle Upon Tyne, Tyne and Wear, United Kingdom.
Daniel NettleNewcastle University, Newcastle Upon Tyne, Tyne and Wear, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report three attempts to replicate a finding from an influential psychological study (Griskevicius et al., 2011b). The original study found interactions between childhood SES and experimental mortality-priming condition in predicting risk acceptance and delay discounting outcomes. The original study used US student samples. We used British university students (replication 1) and British online samples (replications 2 and 3) with a modified version of the original priming material, which was tailored to make it more credible to a British audience. We did not replicate the interaction between childhood SES and mortality-priming condition in any of our three experiments. The only consistent trend of note was an interaction between sex and priming condition for delay discounting. We note that psychological priming effects are considered fragile and often fail to replicate. Our failure to replicate the original finding could be due to demographic differences in study participants, alterations made to the prime, or other study limitations. However, it is also possible that the previously reported interaction is not a robust or generalizable finding.

Indexed as

Childhood developmentFinancial riskMortalityPrimingReplicationSocioeconomic statusTemporal discounting

Identifiers

PMID28761784
PMCPMC5530991

What OpenQuestion holds

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LicenceCC BY
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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.