Abstract
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.
Reference58 articles.
1. Critical Autoethnography, Education, and a Call for Forgiveness
2. Autoethnography
3. Telling Stories: Reflexivity, Queer Theory, and Autoethnography
4. Badenhorst, C., & FitzPatrick, B. (2017). Doctoral education, pedagogy, and autoethnography. The Morning Watch: Educational and Social Analysis, 45(1-2). Retrieved from https://journals.library.mun.ca/ojs/index.php/mwatch/article/view/1935/1506
5. Transpersonal Psychology and an Agnostic Experiential Exploration of Mediumship and the Ostensible Phenomenon of Life after Death