Coding framework

I have only got my last interview left to conduct and in the meantime, I have been organising and coding the collected data. However, after mapping and triangulating the ideas between the collected data and the literature I have reviewed, I felt lost in the sense of 'what I am suppose to do with all these information I have gathered?'.

Having had a delayed start in data collection, I have been very focused on the act of 'doing' the inquiry and have not had a moment to think about what I am suppose to do with the data once it has been coded and triangulated. Thus, I thought to look further into qualitative data analysis, hoping that it can give me some sort of direction.

Below is a video that I found helpful,

Takeaways from the video:

• Coding is essentially the labelling of words, phrases or sections which can be about opinions, actions or concepts that is deemed relevant to me, as a researcher/analyst.

• Deciding its relevance - the repetition of it, an idea that is new to me, it has been mentioned in literature or stressed on by the participant.

• Coding types: Deductive vs. Inductive [an idea also mention on another website]

• To keep in mind: This is my study and as the researcher, I have coded these points because it has 'spoke' to me hence considering them as important. However, it is vital to be unbiased and stay close to the context of the data collected.

• Create a coding framework with the highlight ideas from the collected data and the literature reviewed, categorising them through the emerged common themes.

• The categories and the connections between them are the main results of the research.

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Bibliography:

Kent Löfgren (2013) Qualitative analysis of interview data: A step-by-step guide for coding/indexing. 20 May. Available at: URL (Accessed: 01 April 2021).

Medelyan, A. (2020) Coding Qualitative Data: How to Code Qualitative Research (Updated 2020). Available at: URL (Accessed: 01 April 2021).