So, you want to have completed your semi-structured interview – well done you!
Not sure of the best way to do now? I will show you how analyse your data so you can produce meaningful answers to your research question.
In qualitative research, data analysis happens at the same time as data collection and the process is iterative, meaning you return to the data often and each time you do you become more steeped in the data. It requires ample time for iteration and reflection.
There are many different analytical frameworks that researchers use to guide the interpretation of their qualitative data, but that’s the subject of another video. For this video, I will simply focus on what you need to do with the interview data you have collected.
Immediately after an interview, make notes of the ideas and questions that occur to you.
Next organise and store your data. You must label your data in a way that does not attach participants’ names to the data and store your data in a way that ensures you fulfil the promise of confidentiality you made to the participant at the interview stage. If you want to refresh yourself about collecting data – go back and watch our short video – 6 Tips for conducting semi-structured interviews! (Show the Thumbnail for 6 Tips for conducting semi-structured interviews here [ Ссылка ]).
If you have recorded your interview, and I really recommend that you do then you need to transcribe the audio or video. Transcription is simple but time-consuming, you simply listen to recording and write down verbatim (i.e. word for word) what the participant says. If you want to save time you could consider using software to help you transcribe or use a transcription service. I have some links below on useful software and transcription services.
Once you have your transcript you are now ready to start interpreting your data. You can do this manually but if you have a lot of data (say more than 10 interviews) then I strongly advise you use a software programme. I use NVIVO and I have put some links to that software. You do need to take time to learn how to use the software but there are tons of videos online to help you learn fast. I have put some links down below.
First read your transcript and identify themes. Give the theme a name – this process is called coding. Keep notes of why you have named the theme in a specific way. These notes are called memos. Note also in your memos any exemplars i.e. things that you were not expecting and those that surprised you.
Once you completed reading and coding one transcript, repeat the process for other interviews and start to identify themes that recur across your interviews.
Then writing up is easy just describe the codes, the links between the themes and any patterns you noticed. You can also compare your themes and patterns to existing theory – does it agree or disagree?

Let’s summarise!
1. Immediately after the interview make notes
2. Label and store your data
3. Transcribe your data
4. Code the data
5. Identify thematic patterns
6. Write up your findings
If you found this video useful – please like and hit the subscribe button! Remember to click on the bell so you can be reminded when we upload new videos.
Want to make videos like this? Go [ Ссылка ]
how to analyse qualitative data for an interview,qualitative data analysis example,steps of data analysis in qualitative research,how to analyse qualitative data,qualitative analysis,qualitative research,semi-structured interview,interview methods,research methods,semi-structured interview protocol,semi-structured interview guide in qualitative research,data analysis for beginners,data analysis in excel mac

свернуть