What is Data Interpretation

This chapter presents current research insights into various forms and representations of the results of self-as-subject data analyses from both expert and doctoral research experiences. Distinctions between heuristic inquiry and autoethnography are highlighted as well as differences between self-as-subject data analysis approaches when compared with convention methods used within other forms of qualitative research. In self-as-subject research, data representation and data interpretation are often also simultaneous or overlap in presentation to illustrate key findings and insights into the phenomenon of inquiry.