These sources provide a comprehensive guide to qualitative data analysis, focusing on the essential role of coding to transform raw information into meaningful patterns. They outline three primary coding approaches—inductive, deductive, and hybrid—alongside various coding types that range from surface-level descriptions to identifying latent meanings. The materials compare the "Big Four" qualitative methods, which include content, thematic, discourse, and narrative analysis, detailing how each utilizes coding to achieve different research goals. For example, while thematic analysis identifies recurring patterns of meaning, discourse analysis examines how language constructs social power. Additionally, the texts offer practical frameworks, such as Braun and Clarke’s six-phase model, to help students systematically organize and report their findings. Ultimately, the sources emphasize that the chosen methodology must align with the specific research question to effectively interpret lived experiences.
