![]() ![]() This ensures that your readers are aware of the process you followed. Transparency is key! Your methods for analysis should be clearly described and documented. Having someone review it will support validation of your codes and themes, and reduce bias. Everyone looks at qualitative data slightly differently. If possible, walk through your process and codes with a colleague or team member. This is definitely a learn-by-doing method. ![]() ![]() It takes practice and you won’t get it right on the first go. This will stop you from getting carried away and over-coding data that is not relevant.ĭon’t rush! Leave yourself plenty of time for qualitative data coding and analysis. Read, read, and read your data again! Coding is only efficient when you are completely familiar with your entire data set.Īlthough this is an exploratory method, keep the purpose of your research in mind. ![]()
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