Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 164Qualitative Research Methods and EthicsPosthumanist Ethics and ActivismParticipatory Visual Research Methods

The DOI matches its Crossref record.

Duoethnography

Sawyer, Richard D., Norris, Joe·2012·Oxford University Press eBooks
DOI 10.1093/acprof:osobl/9780199757404.001.0001
Open this paper in CoChat — free account

Abstract

Duoethnography is a collaborative research methodology in which two or more researchers engage in a dialogue on their disparate histories in a given phenomenon. Their goal is to interrogate and re-conceptualize existing beliefs through a conversation that is written in a play-script format. The methodology of duoethnography serves as the focus of this book. Duoethnography facilitates stratified, nested, auto-ethnographic accounts of a given research context or question, designed to emphasize the complex, reflexive, and aesthetic aspects of both the work in process and the product. As a curriculum and a research method, duoethnography explores two seminal issues: representation in qualitative research (how to represent findings when findings are created within a dynamic phenomenonological text), and praxis (how research contributes to a sense of personal change). Duoethnography allows researchers to explore their hybrid identities and to see how their lives have been situated socially and culturally. Recent duoethnographic studies have examined a range of topics, including forms of institutionalized racism, beauty, post-colonialism, multicultural identity construction, and professional boundaries between patient and practitioner in mental health professions.

Overview

Integrity signals

Registry

Crossref · 10.1093/acprof:osobl/9780199757404.001.0001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Still being checked.

Cited by

Related

See all

Metadata

Authors
Sawyer, R. D., & Norris, J.
ORCID
Venue
Oxford University Press eBooks
Publisher
Oxford University Press
Published
2012-11-29
DOI
10.1093/acprof:osobl/9780199757404.001.0001
OpenAlex
W4205809336
Cited by
164
References
0
Citations by year
2026: 25 · 2025: 32 · 2024: 32 · 2023: 16 · 2022: 16 · 2021: 10 · 2020: 7 · 2019: 7 · 2018: 5 · 2017: 6 · 2016: 7 · 2015: 1
FWCI
0.35
Type
book
Language
en
Open access
closed
Locations
Oxford University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
  • Social Sciences › Cultural Studies › Posthumanist Ethics and Activism
  • Social Sciences › Sociology and Political Science › Participatory Visual Research Methods
Keywords
duoethnography, collaborative research methodology, researcher identity, autoethnography, praxis, personal transformation, institutional racism, beauty, postcolonialism, multicultural identity, mental health professions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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.