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4 Steps to take before transcribing the data in your qualitative research
by Diana Carrillo / Landmark Associates Inc. / Transcription / 23/09/19
Photo by Freepik
One of the biggest logistical challenges in qualitative research is the transcription of recorded video or audio data into a written document that can be coded, organized and analyzed. While on the surface, data transcription may seem like a pretty straight forward process, there are actually several considerations you need to have in mind before you settle on a particular source or method of transcription. These considerations multiply in importance when you are dealing with many hours of recorded data and if you are working in multilingual settings or with international teams.
The very first thing you need to do is to be clear about the type of transcription you will need for your research. There are basically three main types of transcription to choose from:
• Verbatim
• Intelligent
• Edited
If you are working on a tight budget and can’t assign someone in-house to take on the transcription, then you can choose an automated transcription platform which relies on speech recognition technology to convert audio to text. While this is definitely the quickest and easiest option, you may experience problems with the resulting transcript’s accuracy since automated systems are currently limited particularly where the audio quality is poor, or there are heavy accents, industry jargon, and numerous people speaking simultaneously.
We specialize in working with qualitative researchers to transform their media files into actionable insights.
Try it for free . NO CREDIT CARD REQUIRED.