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Autoethnography Guidance

ID

HNFE-1104NP

Authors as Published

Authored by Samantha Harden, PhD, 500 RYT, Associate Professor and Extension Physical Activity Specialist, Department of Human Nutrition, Foods, and Exercise, Virginia Tech

Introduction

Autoethnography is a qualitative approach to data collection that will enable you, as the VCE representative, to systematically capture observations in the field and use those observations as data for communicating impacts.

Auto= self
Ethno = of a culture/ of a people
Graphy= story

“Autoethnography appears to be a relatively untapped methodology in implementation science and offers a fluid, qualitative approach to capturing the nuanced, inter- and intra-personal micro- processes of how a participatory effort unfolds within an unpredictable real-world, community context.” (Steketee, Archibald, and Harden, 2020).

Why autoethnography in Extension?

Many other forms of qualitative data require participant resources — they have to set aside time, share their reflections, perhaps drive/commute to the spot. Autoethnography allows you to set aside time to capture your own observations as well as verbally or written feedback from participants.

Example of data collection methods Field Notes

1–5-minute timer for self-reflection.

Set a timer and write all the reflections you have from class. Things people said and did, how it made you feel. When the timer ends, stop writing. to keep it systematic and see what was “most important” in the moment.

You can provide yourself with a prompt like, “what did I notice most from the group today” or “how am I feeling about the program right now?” Alternatively, you can just free-write.

Cultural Artifacts
In their own words.

If a participant writes in the Zoom chat or emails you or texts you, copy and paste their statements into a running document. The document might have column headers.

Process Evaluation
Have a checklist of all program components.

Use this checklist to determine adaptations needed, capture in person feedback, systematize your observations.

How do I report autoethnography for impact statements?

You can provide as a narrative, via tabular format (Figure 1), or a timeline (Figure 2).

Whether you choose a narrative, table, or timeline, you use the type of data you have (i.e., field notes, cultural artifacts, and process evaluation summary) to tell the story of how your programming is changing lives.

Figure 1. Example of translating field notes into a tabular format.
Date Data Theme Analysis
Jan 7 Participant used to have her son walk her up and down the stairs to enter the building Gaining independence LIFT is helping participant walk with ease
Jan 9 Participants laughing and standing around before class starts Cohesion The group is building camaraderie and a perception of belonging
A horizontal line represents the months within the year whereas vertical lines represent key action items that occurred in each month. Other features of the figure include descriptions of the preamble (background/purpose) and the epilogue (what happened next).
Figure 2. Example timeline for presenting the work accomplished.

Frequently Shared Concerns
This approach will not be taken seriously by quantitative researchers.

What autoethnography lacks in conventional control and a priori systemization, is made up for with ongoing, interdisciplinary, theoretical dialogue and critical reflection.

This approach will take too much time.

This approach might require more time in the moment, but it typically takes less time than setting up 1:1 interviews or focus groups and only receiving data from those most able to attend or most interested in providing feedback.

References

Steketee, A.M., Archibald, T., Harden, S.M. 2020. “Adjust your own oxygen mask before helping those around you: an autoethnography of participatory research.” Implementation Science. 15:20.

Additional Resources

“How Do I Even Capture That” autoethnography presentation from VCE winter conference, January 2024, available at:

https://virtualleadershipexperience.com/vcewinter/#

Template for you to use and amend for your programming and autoethnography data collection.

Visit Virginia Cooperative Extension: ext.vt.edu

Virginia Cooperative Extension is a partnership of Virginia Tech, Virginia State University, the U.S. Department of Agriculture, and local governments. Its programs and employment are open to all, regardless of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, military status, or any other basis protected by law.

Autoethnography Template

Autoethnography Template

Virginia Cooperative Extension materials are available for public use, reprint, or citation without further permission, provided the use includes credit to the author and to Virginia Cooperative Extension, Virginia Tech, and Virginia State University.

Virginia Cooperative Extension is a partnership of Virginia Tech, Virginia State University, the U.S. Department of Agriculture, and local governments. Its programs and employment are open to all, regardless of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, military status, or any other basis protected by law

Publication Date

February 23, 2024

This document provides the purpose and methods for conducting autoethnography within VCE to communicate impacts of your programming. Auto= self, ethno= within culture, graphy = story; and this method can be the key to capturing observations and stories in a systematic way.

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