I attached a sample excel file for your reference. I tried to show both approaches for you to be able to compare. This way will allow you toġ) Have your data imported as an Excel file, If you are not going to use Nvivo Transcription feature, instead of transcribing your interviews as Word files, I would suggest to put all demographic data and interview questions into a single Excel file. In this video I am suggesting a different approach to format interview data before importing them into Nvivo, which will be easier and faster way. These actions would require multiple levels of manual coding before starting the thematic coding process. The next step would be creating codes for the interview questions. users will need to create both cases (to represent the participants) and case classifications (to reflect demographic attribute values for each participant). If research data also has demographic information such as age, gender, etc. Nvivo allows users to import their interview data in various formats.
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