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Qualitative Data Analysis: An Introduction

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Qualitative Data Analysis: An Introduction Carol Grbich Chapter 9: Autoethnography. Autoethnography: definition Autoethnography is an autobiographical genre of ... – PowerPoint PPT presentation

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Title: Qualitative Data Analysis: An Introduction


1
Qualitative Data Analysis An Introduction
  • Carol Grbich
  • Chapter 9 Autoethnography.

2
Autoethnography definition
  • Autoethnography is an autobiographical genre of
    writing and research that displays multiple
    layers of consciousness, connecting the personal
    to the cultural. Back and forth ethnographers
    gaze, first through an ethnographic wide-angle
    lens, focussing outward on social and cultural
    aspects of their personal experience then, they
    look inward, exposing a vulnerable self that is
    moved by and may move through, refract, and
    resist cultural interpretations. (Ellis and
    Bochner, 2000739).

3
Key points of an Autoethnography
  • You are the focus of the research study
  • You research your activities, feelings and
    emotions in depth within particular cultural
    contexts
  • You need a well developed capacity for critical
    reflexivity in order to avoid the pitfalls of
    self indulgence
  • Your capacity to present data innovatively and to
    create an impact on the reader by bringing them
    in close to your experiences is very important

4
Data sources
  • Personal memory
  • from notes or memories of a powerful event the
    details of which are imprinted on your mind
  • Self-observational data
  • you chronicle events close to their actual
    happening through observing the self in situ,
  • Self-reflective data
  • maintain a detailed critically reflexive journal
    of thoughts and feelings emotional self
    disclosure
  • Other data
  • any audio/visual/written or other documentation
    regarding the event/situation
  •  

5
Data analysis
  • Preliminary data analysis (see chapter 2)
  • Editing for re-presentation in some way to bring
    the reader closer to experiencing situations
  • Thematic analysis and data fracturing and
    fragmenting is rarely done

6
Data presentation options
  • Dialogue or play
  • Story individual or multiple (triangulated)
  • Poetry
  • Visual options painting, drawing, video etc
  • Pastiche (an interwoven quilt of stories and
    voices (written and aural)
  • Any combinations of the above

7
Advantages of Autoethnography
  • Delves into difficult to access topics
  • Makes researcher very transparent
  • Elucidates emotions of both researcher and
    researched
  • Allows reader to access experiences
  • Encourages a wide variety of creative
    representations.

8
Criticisms of Autoethnography
  • Too indulgent, self absorbed and introspective
  • Is exposing the experiential emotions of the self
    and others real research? Or just
    obsessiveness?
  • Have others given proper permission to be
    included in your stories? (ethics).
  • In centering oneself, one can highlight ones own
    role and marginalise those of others
  • Discussion of very personal events may create a
    situation of vulnerability
  •  
  •  

9
Assessment criteria for Autoethnographies
  • Assess the contribution of the writing to our
    increased knowledge of social life
  • Examine the style of presentation is it
    satisfyingly complex?
  • Reflexivity has the author been able to move
    between the inside and outside subjectivities?
  • What emotional impact has it had on the reader?
  • (Adapted from Richardson, 200015-16
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