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Collaborative coding in inductive content analysis: Why, when, and how to do it.

Free Coulston1,2, Fiona Lynch1,2,3, Danya F Vears1,2,3,4

  • 1The University of Melbourne, Parkville, Victoria, Australia.

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|April 30, 2025
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Summary

This study introduces a six-step approach to co-coding in inductive content analysis (ICA) for genetic counseling research. It enhances qualitative data analysis through collaborative coding, improving rigor and efficiency.

Keywords:
collaborative codingcontent analysisco‐codinginductive analysismethodsqualitative research

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Area of Science:

  • Qualitative Research Methods
  • Genetic Counseling
  • Genomic Medicine

Background:

  • Inductive content analysis (ICA) is valuable for qualitative data in genetic counseling.
  • Co-coding with multiple analysts enriches data representation and offers mentoring opportunities.
  • Clear guidance for co-coding in ICA is currently limited.

Purpose of the Study:

  • To address the lack of clear guidance on co-coding in inductive content analysis.
  • To propose a flexible, six-step framework for co-coding in ICA.
  • To demonstrate the application of this co-coding approach in genetic counseling research.

Main Methods:

  • Review of existing literature on co-coding in qualitative analysis.
  • Development and proposal of a six-component step-by-step co-coding framework.
  • Illustration of the framework using example vignettes from diverse genetic counseling topics.

Main Results:

  • A structured, six-component approach to co-coding in ICA is presented.
  • The proposed method facilitates richer, more nuanced qualitative data analysis.
  • The approach is adaptable for various genetic counseling research scenarios and analysts.

Conclusions:

  • The proposed co-coding framework provides practical guidance for enhancing ICA in genetic counseling research.
  • Implementing this structured approach can improve the quality and efficiency of qualitative data analysis.
  • Co-coding is a beneficial practice for genetic counseling research, supporting robust findings and researcher development.