ABSTRACT
Autoethnography is a research method that regards a researcher’s own experience as meaningful data and “a topic of investigation in its own right” (Ellis and Bochner 2000:733). In doing so, it aims to analyze and interpret taken-for-granted values, attitudes, and beliefs in their social context (Chang 2008). Collaborative autoethnography, in turn, involves two or more researchers engaged in autoethnography to produce a collective product that benefits from dialogic exchange. This method bears similarity to what others have described as duoethnography (Sawyer and Norris 2013). Autoethnographers, whether individually or collaboratively, use their personal experiences as the subject of exploration and reject positivist claims about the need for disinterested, scientific objectivity; they value the postmodern turn away from meta-level master narratives and toward multiple ways of local storytelling (Bochner 2001; Chang, Ngunjiri, and Hernandez 2012; Haraway 2003).
