Credibility assessment in qualitative data analysis entails the comparison of codes of the same content, by different researchers in order to determine the congruence of perceptions.

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Credibility assessment in qualitative research often involves comparing codes or interpretations of the same content by different researchers (a process known as inter-coder reliability or consensus coding) to determine the congruence of perceptions, ensuring that the findings are not the result of a single researcher's bias or perspective. This process helps in establishing the trustworthiness and credibility of the qualitative analysis.

Credibility Assessment in Qualitative Data Analysis Entails the Comparison of Codes