Evidence map›Paper›PMID 27077017›Full record

ArticlePeerJ2016

Distributions of p-values smaller than .05 in psychology: what is going on?

Chris H J Hartgerink, Robbie C M van Aert, Michèle B Nuijten, Jelte M Wicherts, Marcel A L M van Assen

Abstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Big little lies: a compendium and simulation ofRoyal Society open science · 2023
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  9. Transparent, Open, and Reproducible Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  10. P-hacking in clinical trials and how incentives shape the distribution of results across phases.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. The Weak Spots in Contemporary Science (and How to Fix Them).Animals : an open access journal from MDPI · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve.Perspectives on psychological science : a journal of the Association for Psychological Science · 2016
    Article
  19. 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

5 authors.

Chris H J HartgerinkDepartment of Methodology and Statistics, Tilburg University , Tilburg , The Netherlands.
Robbie C M van AertDepartment of Methodology and Statistics, Tilburg University , Tilburg , The Netherlands.
Michèle B NuijtenDepartment of Methodology and Statistics, Tilburg University , Tilburg , The Netherlands.
Jelte M WichertsDepartment of Methodology and Statistics, Tilburg University , Tilburg , The Netherlands.
Marcel A L M van AssenDepartment of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands; Department of Sociology, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies provided mixed findings on pecularities in p-value distributions in psychology. This paper examined 258,050 test results across 30,710 articles from eight high impact journals to investigate the existence of a peculiar prevalence of p-values just below .05 (i.e., a bump) in the psychological literature, and a potential increase thereof over time. We indeed found evidence for a bump just below .05 in the distribution of exactly reported p-values in the journals Developmental Psychology, Journal of Applied Psychology, and Journal of Personality and Social Psychology, but the bump did not increase over the years and disappeared when using recalculated p-values. We found clear and direct evidence for the QRP "incorrect rounding of p-value" (John, Loewenstein & Prelec, 2012) in all psychology journals. Finally, we also investigated monotonic excess of p-values, an effect of certain QRPs that has been neglected in previous research, and developed two measures to detect this by modeling the distributions of statistically significant p-values. Using simulations and applying the two measures to the retrieved test results, we argue that, although one of the measures suggests the use of QRPs in psychology, it is difficult to draw general conclusions concerning QRPs based on modeling of p-value distributions.

Indexed as

Caliper testData peekingNHSTp-valuesQRP

Identifiers

PMID27077017
PMCPMC4830257

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.