Your files consist of Facebook data captured with NCapture. You could then summarize the material in a framework matrix to compare attitudes. You would set up cases and code themes before querying your data. Your files consist of in-depth interviews and observation notes. You would classify your files before coding and querying them and then you could critique each file in a memo. Your files consist of journal articles, books and web pages. Then code themes to query and visualize your data. You could auto code the interviews and set up cases for each participant. Your files consist of structured, consistently formatted interviews where each participant is asked the same set of questions. You could then explore your data with simple queries or charts, and use memos to record your discoveries. You would set up a case node for each interview participant, then code to theme nodes and case nodes. Your files consist of unstructured interview documents. Feel free to share your own ideas and strategies on the QSR Forum. This page presents some example scenarios for handling different types of projects-these are just suggestions to get you up and running. Every research project is unique-the way you organize and analyze the material depends on your methodology, data and research design.
For example, this picture shows a path you might take to investigate an interesting theme. Instead, it tends to be an iterative process where you explore, code, reflect, memo, code some more, query and so on. Handling qualitative data is not usually a step-by-step process. NVivo can help you to manage, explore and find patterns in your data but it cannot replace your analytical expertise. Researchers usually adopt a qualitative methodology to suit their research question. They analyze data like interviews, surveys, field notes, web pages, audio visual material and journal articles. Qualitative researchers are interested in evaluating, interpreting and explaining social phenomena.
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