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

Gena Nelson1, Sarah Quinn2, Sean Grant3

  • 1Center on Teaching and Learning, College of Education, https://ror.org/0293rh119University of Oregon, Eugene, OR, USA.

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Summary
This summary is machine-generated.

This tutorial offers 10 practices for creating effective study coding manuals and forms. These guidelines aim to improve data extraction quality for research synthesis and meta-analyses.

Keywords:
coding proceduresdata extractionmeta-analysisstudy codingsystematic review

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Area of Science:

  • Research Methodology
  • Data Synthesis
  • Scientific Communication

Background:

  • Study coding is crucial for research synthesis, linking extracted data to findings.
  • High-quality data extraction is essential for justifying claims in systematic reviews.
  • Meta-analyses are increasingly common across disciplines, necessitating robust synthesis methods.

Purpose of the Study:

  • To provide authors, especially novices, with recommendations for developing study coding manuals and forms.
  • To enhance the efficiency and quality of data extraction in research synthesis.
  • To improve the overall quality of study coding materials used in meta-analyses.

Main Methods:

  • Presents 10 practical, easy-to-follow recommendations for creating study coding materials.
  • Supports each practice with examples, non-examples, and additional resources.
  • Focuses on practical application for authors conducting research synthesis.

Main Results:

  • Authors can develop efficient and high-quality study coding manuals and forms.
  • Improved data extraction leads to more reliable research synthesis and meta-analysis results.
  • Enhanced coding materials contribute to the rigor of scientific literature.

Conclusions:

  • Adopting these 10 practices will lead to better study coding materials.
  • This leads to more efficient and higher-quality data extraction for research synthesis.
  • The recommendations aim to elevate the standard of meta-analyses and systematic reviews.