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From text to codings: intercoder reliability assessment in qualitative content analysis.

Laila Burla1, Birte Knierim, Jurgen Barth

  • 1Institute of Social and Preventive Medicine, University of Bern, Switzerland. bula@zhaw.ch

Nursing Research
|March 19, 2008
PubMed
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Intercoder reliability (ICR) assessment enhances qualitative content analysis quality. This quantitative approach, using kappa values and agreement rates, refines coding schemes for credible results.

Area of Science:

  • Qualitative Research Methods
  • Content Analysis
  • Psychometrics

Background:

  • High intercoder reliability (ICR) is crucial for quality in qualitative content analysis involving multiple coders.
  • Standardized procedures for ICR in qualitative content analysis are lacking in current literature.

Purpose of the Study:

  • To demonstrate the application of intercoder reliability (ICR) assessment for improving coding in qualitative content analysis.
  • To present a practical procedure for enhancing the quality of qualitative data analysis.

Main Methods:

  • Developed a coding scheme using inductive and deductive approaches.
  • Conducted independent coding of 10 transcripts by two researchers.
  • Calculated intercoder reliability (ICR) using kappa values and analyzed agreement rates.

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Main Results:

  • Achieved a satisfactory to solid kappa value of 0.67.
  • Identified areas for coding scheme improvement through analysis of varying agreement rates.
  • Refined the coding scheme based on ICR results, leading to consistent, high-quality coding.

Conclusions:

  • Quantitative ICR assessment is a valuable tool for quality assurance in qualitative content analysis.
  • Kappa values and agreement rate inspection enhance coding quality and analysis credibility.
  • This method is particularly beneficial for large samples, multiple coders, and studies presenting quantitative findings.