Community Inter-Autoethnography: A Methodology for Community-Level Understanding

Abstract

This article develops the concept and procedures of a large-scale, autoethnographic research process termed Community Inter-Autoethnography. This is a research methodology in which multiple individuals conduct autoethnographies and collaboratively synthesize their positionings to produce negotiated, community-level understandings. The methodical argument is that there is a need for a research process that allows multiple voices across large social groupings to be heard in order to capture and understand diverse and shared positionings within that setting. As argued, this increase in scale answers historical questions concerning the representativeness and applicability of autoethnographic research. Building upon the expansion of single-person autoethnographies to collaborative studies (Chang, Ngunjiri, & Hernandez) and developments in science education toward the inclusive Research and Education Community (Hanauer et al.), the current article explicates how autoethnographic research can be used with a large number of participants across a community. In Hanauer et al. this approach is exemplified in a study that included 106 participants co-authoring a study of the professional identity of Course-Based Research lab instructors. Community inter-autoethnographic research provides a way of reaching community conclusions based on both diverse individual experiences and negotiated collective understandings.