Evidence map›Paper›PMID 37466102›Full record

ArticlePerspectives on psychological science : a journal of the Association for Psychological Science2024

Better Accuracy for Better Science . . . Through Random Conclusions.

Clintin P Davis-Stober, Jason Dana, David Kellen, Sara D McMullin, Wes Bonifay

Abstract read
In one paragraph

Article in Perspectives on psychological science : a journal of the Association for Psychological Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. On Bayes factors for hypothesis tests.Psychonomic bulletin & review · 2025
    Review
  2. Review
  3. 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.

Clintin P Davis-StoberDepartment of Psychological Sciences, MU Institute for Data Science and Informatics, University of Missouri.ORCID 0000-0002-6836-6979
Jason DanaYale School of Management, Yale University.
David KellenDepartment of Psychology, Syracuse University.ORCID 0000-0003-1483-7875
Sara D McMullinDepartment of Psychological Sciences, University of Missouri.
Wes BonifayMissouri Prevention Science Institute, Educational, School & Counseling Psychology, University of Missouri.ORCID 0000-0003-3853-7607

Funding

Advanced Mathematical Modeling of Decision Making in Alcohol ResearchK25AA024182 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DAVIS-STOBER, CLINTIN PHILIP · 2016 to 2019
$590k
National Science Foundation (NSF) 2145308NIAAA NIH HHS K25 AA024182
6 · The paper itself

Abstract

Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a baseline for interpreting effect-size estimates, in turn producing more stringent thresholds for hypothesis testing and for statistical-power calculations. An examination of recent meta-analyses in psychology, neuroscience, and medicine confirms that, even if all considered effects are real, results involving small effects are indeed indistinguishable from random conclusions.

Indexed as

NeurosciencesResearch DesignHumansSample Sizebenchmarksestimationhypothesis testingrandom conclusionst tests

Identifiers

PMID37466102
PMCPMC10796851

What OpenQuestion holds

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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.