Evidence map›Paper›PMID 24465448›Full record

ArticlePloS one2014

Why publishing everything is more effective than selective publishing of statistically significant results.

Marcel A L M van Assen, Robbie C M van Aert, Michèle B Nuijten, Jelte M Wicherts

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  5. Review
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  13. Review
  14. Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets.Advances in methods and practices in psychological science · 2019
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  15. A theory and methodology to quantify knowledge.Royal Society open science · 2019
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  16. Making the scientific literature fail-safe.The Journal of clinical investigation · 2018
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  17. Article
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  19. The changing forms and expectations of peer review.Research integrity and peer review · 2018
    Review
  20. 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

4 authors.

Marcel A L M van AssenDepartment of Methodology and Statistics, Tilburg School of Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
Robbie C M van AertDepartment of Methodology and Statistics, Tilburg School of Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
Michèle B NuijtenDepartment of Methodology and Statistics, Tilburg School of Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.
Jelte M WichertsDepartment of Methodology and Statistics, Tilburg School of Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDe Winter and Happee examined whether science based on selective publishing of significant results may be effective in accurate estimation of population effects, and whether this is even more effective than a science in which all results are published (i.e., a science without publication bias). Based on their simulation study they concluded that "selective publishing yields a more accurate meta-analytic estimation of the true effect than publishing everything, (and that) publishing nonreplicable results while placing null results in the file drawer can be beneficial for the scientific collective" (p.4). METHODS AND

findingsUsing their scenario with a small to medium population effect size, we show that publishing everything is more effective for the scientific collective than selective publishing of significant results. Additionally, we examined a scenario with a null effect, which provides a more dramatic illustration of the superiority of publishing everything over selective publishing.

conclusionPublishing everything is more effective than only reporting significant outcomes.

Indexed as

Statistics as TopicMeta-Analysis as TopicPublicationsPublishing

Identifiers

PMID24465448
PMCPMC3894961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.