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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
  • University of Oregon
  • Eastern Michigan University
  • Iowa State University
  • Baylor College of Medicine

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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, highquality 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.

Original languageEnglish
Pages (from-to)709-728
Number of pages20
JournalResearch Synthesis Methods
Volume16
Issue number5
DOIs
StatePublished - Sep 2025

Keywords

  • coding procedures
  • data extraction
  • meta-analysis
  • study coding
  • systematic review

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