As with all qualitative data, phenomenological data analysis involves such processes as coding (open, axial, and selective), categorising and making sense of the essential meanings of the phenomenon.

As the researcher works/lives with the rich descriptive data, then common themes or essences begin to emerge.

This stage of analysis basically involves total immersion for as long as it is needed in order to ensure both a pure and a thorough description of the phenomenon.

Method of analysis

The structure of phenomena is the major finding of any descriptive phenomenological inquiry.  This structure is based upon the essential meanings that are present in the descriptions of the participants and is determined both by analysis (as detailed below), and also by your (intuitive) insights.

As an overview of how to analyse phenomenological research, we will look at method of analysis as described by Kleiman (2004). Similar processes occur in other types of qualitative research.

Reference: Kleiman S (2004) Phenomenology: to wonder and search for meanings. Nurse Researcher 11(4): 7-19

data analysis     analysing data