The amount of coding you do depends on your research design, the project time frame and the volume of data you are working with. For example, you have a hunch that tourism impacts water quality-use a coding query to gather content coded at water quality where it is NEAR content coded at tourism and explore the connections. Coding facilitates the use of queries and visualizations allowing you to look for connections between themes and test your understanding.Coding lets you gather all the material about a topic in one place (for example, what did everyone say about water quality?)-this makes it easier to see patterns, contradictions and to develop theories.The process of coding brings you closer to your data and 'forces' you to focus on your material-asking questions like What is this about? Is it about more than one thing? How does it help me answer my research question?.What is the purpose of coding?Ĭoding the content of your files can contribute to your analysis in the following important ways: You could combine these approaches or experiment to see what works best for you. Researchers working in methodologies such as phenomenology or discourse analysis may get straight into detailed coding (making nodes as required) and then, later on, combine and group the nodes into related categories. You could start with ‘broad-brush’ coding to organize your material into broad topic areas (you can use Text Search queries to help with this)-then explore the node for each topic and do more detailed coding: The way you handle coding depends on your methodology and research design. Where to start?Ĭoding is one of several techniques for making sense of your data-you can use it in conjunction with annotating, writing memos, linking. It tends to be a cumulative rather than a one-stage process, with the meaning and structure of your nodes changing over time. Coding, or gathering material by topic, is a fundamental task in most qualitative projects.
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