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Cited by 657

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Easier Said than Done: Writing an Autoethnography

Open access
Wall, Sarah·2008·International Journal of Qualitative Methods

Abstract

Autoethnography is an intriguing and promising qualitative method that offers a way of giving voice to personal experience for the purpose of extending sociological understanding. The author's experience of writing an autoethnography about international adoption has shown her, however, that autoethnography can be a very difficult undertaking. In writing her autoethnography, she confronted anxiety-producing questions pertaining to representation, balance, and ethics. As well, she dealt with the acceptability of her autoethnography by informal and formal reviewers. In this article she discusses the challenges she faced in her autoethnographic project to inform future autoethnographers and to inspire them to share their experiences and reflections. For the author questions linger, but she hopes that sharing issues that arise in autoethnographic work will strengthen our understandings of this challenging yet highly promising form of inquiry.

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Crossref · 10.1177/160940690800700103

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Metadata

Authors
Wall, S.
Venue
International Journal of Qualitative Methods
Published
2008-03
Volume
7
Issue
1
Pages
38-53
ISSN
1609-4069 (ISSN-L)
OpenAlex
W1596606100
Cited by
657
References
35
FWCI
23.23
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Easier Said than Done: Writing an Autoethnography. https://app.cochat.ai/papers/10.1177/160940690800700103
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Wall, S. (2008). Easier Said than Done: Writing an Autoethnography. International Journal of Qualitative Methods. https://doi.org/10.1177/160940690800700103

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.