Ensure to do these :
Wrap up the interview and write the transcripts on the same day of interview (let your memory help you here) , you can keep responses authentic by focusing on minimal editing for clarity only- do not go for detailed explanations of the interview, focus on having the abridge versions for discussion, and by conducting validation checks with stakeholders or other fellow researchers to confirm that cleaned data reflects their intended meaning (Patton, 2002).
Dear Anitha Roshan Sagarkar
To maintain the original meaning in stakeholder interviews while cleaning data, a researcher should first ensure that the core themes, language, and context of participants’ responses are preserved. This involves organizing and standardizing data without altering key phrases or nuances that reflect stakeholders' authentic perspectives. Techniques like verbatim transcription, careful note-taking, and coding can help capture essential points while distinguishing between meaningful insights and filler or redundant language. By preserving colloquialisms or specific terminology used by stakeholders, researchers maintain the unique perspective of each interviewee, which is critical for understanding nuanced insights.
Additionally, the researcher should use iterative checking methods, such as member-checking or peer debriefing, to validate interpretations with stakeholders or colleagues. This process helps confirm that the cleaned data still represents the interviewees' intentions. During coding and categorization, researchers should be cautious not to over-simplify or force data into rigid themes that might distort original meanings. Proper documentation of the data-cleaning process and transparent reporting of any modifications made to the data are also essential for preserving the authenticity and accuracy of stakeholder inputs in the final analysis.
I hope this helps.
- Badges
- Science topic
- Similar topics
- Organizational Psychology
- Training