Textual data sets can be intimidating to public health researchers and practitioners who are unfamiliar with qualitative research. The amount of textual data collected fr om in-depth interviews (IDI), focus group discussions (FGD), and direct observations – three common methods in qualitative research – can be extensive and can prove challenging to systematically analyze. This article outlines one primary approach to qualitative data analysis (QDA) in health research and discusses the analysis process and interpretation, leading to the development of a credible product. It also briefl y describes how computer soft – ware can assist in both the analysis and display of fi ndings through data graphs, tables, and conceptual models.
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