Toward “Good Enough Methods” for Autoethnography in a Graduate Education Course: Trying to Resist the Matrix with Another Promising Red Pill

Abstract

Educational research suggests that the response biases of educators can negatively influence student performance and aptitude (Blanchett 2006; Bloom 2001; Darity et al. 2001; Gordon 2005; and Skiba et al. 2000). This article introduces “good enough methods” for autoethnography as an alternative approach to this problem. Luttrell (2000, 13) conceptualizes “good enough methods” researchers as those seeking to understand and appreciate difference and accept errors often made because of their blind spots and intense involvement. Evidence of this approach via autoethnography is provided here from cases of graduate student-practitioners and their Intergroup/Intercultural Education professor. Moreover, the article highlights (a) a connection of autoethnography to research in Education, (b) five key decisions of a “good enough methods” approach to autoethnography, and (c) how this approach can be applied to expose and address educator biases relating to “the matrix” (Hill-Collins 1990) of race, class, and gender.