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

delete2025-06-01
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OA
AI
G
Gena Nelson *
S
Sarah Quinn
S
Sean Grant
S
Shaina Trevino
E
Elizabeth Day
M
Maria Schweer‐Collins
H
Hannah Carter
P
Peter Boedeker
E
Emily E. Tanner‐Smith
DOI:10.1017/rsm.2025.10019delete
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Abstract

Abstract

En 中文
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.
Keywords:
coding procedures
data extraction
meta-analysis
study coding
systematic review
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Research Synthesis Methods cover
Research Synthesis Methods
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