Evidence map›Paper›PMID 35342865›Full record

ArticlePerspectives on behavior science2022

Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research.

Art Dowdy, Donald A Hantula, Jason C Travers, Matt Tincani

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Perspectives on behavior science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 8 pooled it
2.9field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 8 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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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 at 1 institution in 1 country.

Art DowdyDepartment of Teaching and Learning, Temple University, Philadelphia, PA USA.ORCID 0000-0001-6466-6774
Donald A HantulaDepartment of Psychology, Temple University, Philadelphia, PA USA.ORCID https://orcid.org/0000-0001-8954-9152
Jason C TraversDepartment of Teaching and Learning, Temple University, Philadelphia, PA USA.ORCID https://orcid.org/0000-0003-1956-3519
Matt TincaniDepartment of Teaching and Learning, Temple University, Philadelphia, PA USA.ORCID https://orcid.org/0000-0003-4829-6907
Temple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Publication bias is an issue of great concern across a range of scientific fields. Although less documented in the behavior science fields, there is a need to explore viable methods for evaluating publication bias, in particular for studies based on single-case experimental design logic. Although publication bias is often detected by examining differences between meta-analytic effect sizes for published and grey studies, difficulties identifying the extent of grey studies within a particular research corpus present several challenges. We describe in this article several meta-analytic techniques for examining publication bias when published and grey literature are available as well as alternative meta-analytic techniques when grey literature is inaccessible. Although the majority of these methods have primarily been applied to meta-analyses of group design studies, our aim is to provide preliminary guidance for behavior scientists who might use or adapt these techniques for evaluating publication bias. We provide sample data sets and R scripts to follow along with the statistical analysis in hope that an increased understanding of publication bias and respective techniques will help researchers understand the extent to which it is a problem in behavior science research.

Indexed as

behavior scienceevidence-based behavior analysismeta-analysispublication biasresearch-synthesissingle-case experimental design

Identifiers

PMID35342865
PMCPMC8894526
OpenAlexW3190684480

What OpenQuestion holds

Textmetadata
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.