Evidence map›Paper›PMID 41626956›Full record

ReviewResearch synthesis methods2025

Ten practices for successful study coding in research syntheses: Developing coding manuals and coding forms.

Gena Nelson, Sarah Quinn, Sean Grant, Shaina D Trevino, Elizabeth Day, Maria Schweer-Collins, Hannah Carter, Peter Boedeker, Emily Tanner-Smith

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Research synthesis methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Gena NelsonCenter on Teaching and Learning, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.ORCID https://orcid.org/0000-0002-7369-0132
Sarah QuinnSpecial Education and Communication Sciences and Disorders, https://ror.org/02ehshm78Eastern Michigan University, Ypsilanti, MI, USA.ORCID https://orcid.org/0000-0002-7309-0110
Sean GrantHEDCO Institute for Evidence-Based Educational Practice, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.ORCID https://orcid.org/0000-0002-7775-3022
Shaina D TrevinoHEDCO Institute for Evidence-Based Educational Practice, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.ORCID https://orcid.org/0000-0002-4046-1210
Elizabeth DayHEDCO Institute for Evidence-Based Educational Practice, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.
Maria Schweer-CollinsHEDCO Institute for Evidence-Based Educational Practice, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.ORCID https://orcid.org/0000-0001-8285-9107
Hannah CarterDepartment of Teaching, Learning, and Community Engagement, College of Education, https://ror.org/02e3zdp86Boise State University, Boise, ID, USA.ORCID https://orcid.org/0000-0002-8516-4113
Peter BoedekerDepartment of Education, Innovation and Technology, https://ror.org/02pttbw34Baylor College of Medicine, Houston, TX, USA.ORCID https://orcid.org/0000-0002-0879-5886
Emily Tanner-SmithHEDCO Institute for Evidence-Based Educational Practice, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.ORCID https://orcid.org/0000-0002-5313-0664

Funding

National Science Foundation
6 · The paper itself

Abstract

Study coding is an essential component of the research synthesis process. Data extracted during study coding serve as a direct link between the included studies and the synthesis results, allowing reviewers to justify claims about the findings from a set of related studies. The purpose of this tutorial is to provide authors, particularly those new to research synthesis, with recommendations to develop study coding manuals and forms that result in efficient, high-quality data extraction. Each of the 10 easy-to-follow practices is supported with additional resources, examples, or non-examples to help authors develop high-quality study coding materials. With the increase in publication of meta-analyses in recent years across many disciplines, a primary goal of this article is to enhance the quality of study coding materials that authors develop.

Indexed as

Meta-Analysis as TopicResearch DesignHumansSystematic Reviews as Topiccoding proceduresdata extractionmeta-analysisstudy codingsystematic review

Identifiers

PMID41626956
PMCPMC12527492

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.