![]() ![]() Now both of these, the idea of a method being inducted, and data driven, and the idea of constant comparison are key to this grounded theory method. And then you compare them to each other to identify meaningful clusters and patterns. This process also relies on something called constant comparison of open codes, the idea that you identify units of meaning within your data. What this means is that you don't start with a hypothesis and you don't start with the things you think you're going to find but rather you sift through the data to see what insight is available in the data itself. So what you need to know about this is that this is an inductive data driven approach. It could take years to learn and I'll refer you to a book at the end but I'll just try to be very pragmatic and describe the methods step by step. Now we won't go into too many details about grounded theory. The method I'm going to be discussing here is inspired by something called grounded theory method. I know I've been referring to it for quite a few videos as we discussed things like interviews and observations and contextual inquiry, and today, we'll actually talk about how to do it. Today, we'll be talking about qualitative analysis.
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