10.2+Interviews

10.2 Interviews
Use of inductive content analysis (thematic analysis) on interview transripts Data analysis: interpretative phenomenological analyisis (IPA)

A.) When analyzing qualitative data, it is important to identify key themes, categories, and concepts; there are several different examples and types of thematic analysis, all of which involve **coding**, or identifying specific categories within the data.

B.) The first stage of such analysis entails giving descriptive labels to separate occurrences of "phenomena", and from this point, it is possible to organize based on lower-level categories and higher-level categories; the lower-level categories are then condensed into meaningful subcategories. Different from traditional content analysis in that the categories are not previously defined.

C.) Goal of IPA is to allow the researcher to gain insight toward participants' perspectives - the data comes from qualitative sources such as focus groups, diaries, interviews (structured & semi-structured)