"Qualitative data analysis aims to make sense of the abundant, varied, mostly nonnumeric forms of information that accrue during an investigation. As qualitative researchers, we reflect not only on each piece of data by itself but also on all the data as an integrated, blended, composite package. Increasingly, qualitative researchers are participants in interdisciplinary, mixed-methods research teams for which analytic and interpretive processes are necessarily complementary, distinct, clearly articulated, and critical to the larger investigation. We search for insight, meaning, understanding, and larger patterns of knowledge, intent, and action in what we generate as data. Approaching this task in a responsive, inductive, transparent, yet systematic way demands our best balance of good science, appropriate rigor and quality, and openness to unanticipated findings. Many qualitative studies now include multiple sources of data, including narrative or textual and visual (e.g., photographs, videos, creative works and art, and theatric or performative components) information for analysis. Thorne (2008) describes the analytic process as moving 'from pieces to patterns' (p. 142) through the activities of organizing, reading and reviewing mindfully, coding, reflection, thematic derivation, and finding meaning."
(Jennifer B. Averill)
"Extracts from a lecture by Graham R Gibbs to postgraduate (graduate) students about thematic coding in qualitative data analysis. It includes a look at Alan Bryman's four stages of coding, the idea of thematic coding and what themes can be about, what coding can be used for and how to construct and use a coding hierarchy."
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