![]() International Journal of Qualitative Methods, 8(2), 35-52. Transcription: Imperatives for qualitative research. Fundamentals of Qualitative Research Methods: Data Analysis (Module 5). During transcription, it may be necessary to remove identifying information from the transcripts, for example, names, places and age, so that your participants cannot be identified. This serves two functions: familiarising yourself with the data and checking for any errors in the transcript. If you don't do the transcribing yourself it is important to validate the transcripts (by listening to the audio and reading the transcript concurrently). Qualitative data analysis software may also have options for transcribing, for example NVivo 11. You can use software such as VLC media player or Olympus DSS player to manage and store your audio-files, and slow down the speed at which the audio is played. The level of detail required for transcription will vary depending on the type of analysis you are doing- for example, discourse analysis will require more detail about non-verbal speech components (e.g. It involves listening to the audio (or video) recording of an interview and typing what is said. Transcription is the first part of analysis of your data.
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