Collaborative Autoethnography

It sounds like a paradox: How do you engage in autoethnography collaboratively? Heewon Chang, Faith Ngunjiri, and Kathy-Ann Hernandez break new ground on this blossoming new array of research models, collectively labeled Collaborative Autoethnography. Their book serves as a practical guide by provid...

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Hauptverfasser: Chang, Heewon, Ngunjiri, Faith Wambura, Hernandez, Kathy-Ann C.
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Walnut Creek, Calif Routledge 2013
Taylor and Francis
Left Coast Press
Taylor & Francis Group
Ausgabe:1
Schriftenreihe:Developing Qualitative Inquiry
Schlagworte:
ISBN:9781598745559, 1598745557, 9781598745566, 1598745565
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Abstract It sounds like a paradox: How do you engage in autoethnography collaboratively? Heewon Chang, Faith Ngunjiri, and Kathy-Ann Hernandez break new ground on this blossoming new array of research models, collectively labeled Collaborative Autoethnography. Their book serves as a practical guide by providing you with a variety of data collection, analytic, and writing techniques to conduct collaborative projects. It also answers your questions about the bigger picture: What advantages does a collaborative approach offer to autoethnography? What are some of the methodological, ethical, and interpersonal challenges you'll encounter along the way? Model collaborative autoethnographies and writing prompts are included in the appendixes. This exceptional, in-depth resource will help you explore this exciting new frontier in qualitative methods.
AbstractList A practical guide providing researchers with a variety of data collection, analytic, and writing techniques to conduct collaborative autoethnography projects.
It sounds like a paradox: How do you engage in autoethnography collaboratively? Heewon Chang, Faith Ngunjiri, and Kathy-Ann Hernandez break new ground on this blossoming new array of research models, collectively labeled Collaborative Autoethnography. Their book serves as a practical guide by providing you with a variety of data collection, analytic, and writing techniques to conduct collaborative projects. It also answers your questions about the bigger picture: What advantages does a collaborative approach offer to autoethnography? What are some of the methodological, ethical, and interpersonal challenges you'll encounter along the way? Model collaborative autoethnographies and writing prompts are included in the appendixes. This exceptional, in-depth resource will help you explore this exciting new frontier in qualitative methods.
Author Chang, Heewon
Hernandez, Kathy-Ann C.
Ngunjiri, Faith Wambura
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Keywords Institutional Review Boards
Partial Collaboration
memory
Individual Data Collection
data
sequential
concurrent
Autobiographical Data
Stained Glass Ceiling
research
Educational Research Courses
Full
Assisted Qualitative Data Analysis Software
Faculty Learning Community
model
Thesis Writing Groups
Personal Memory Data
Collaborative Writing
Fu Ll
Performance Autoethnographies
individual
Concurrent Model
Professional Development
CAE
Group Data Collection
Self-reflective Data
Computer - Assisted Qualitative Data Analysis Software
personal
collection
community
Youth Activism Environment
Teach Research Methods Courses
Community AE
Weft QDA
QDA Miner
LCCN 2012024594
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Language English
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Notes Paperback ed.: 23 cm
Includes bibliographical references and index
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Left Coast Press
Taylor & Francis Group
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Snippet It sounds like a paradox: How do you engage in autoethnography collaboratively? Heewon Chang, Faith Ngunjiri, and Kathy-Ann Hernandez break new ground on this...
A practical guide providing researchers with a variety of data collection, analytic, and writing techniques to conduct collaborative autoethnography projects.
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SubjectTerms Authors
Autobiography
Collaboration
Ethnography
Ethnography and Autoethnography
Ethnology
Ethnology - Research
Ethnology -- Authorship
Ethnology -- Methodology
Methodology
Qualitative Methods
TableOfContents Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Illustrations -- Dedication -- Preface -- Chapter 1. What Is Collaborative Autoethnography? -- Autoethnography -- Autoethnography and Collaborative Autoethnography -- Collaborative Autoethnography -- Benefits of Collaborative Autoethnography -- Challenges of Collaborative Autoethnography -- Conclusion -- Chapter 2. Typology of Collaborative Autoethnography -- The Size of Research Teams -- The Extent of Collaboration -- Modes of Collaboration -- Methodological Variations of Collaborative Autoethnography -- Conclusion -- Chapter 3. Getting Ready for Collaborative Autoethnography -- Forming a Research Team -- Deciding on a Research Focus -- Selecting a Collaboration Model -- Defining Roles and Setting Boundaries -- Conclusion -- Chapter 4. Data Collection -- Collection of Diverse Data -- Personal Memory and Archival Data -- Self-Observational Data -- Self-Reflective and Self-Analytical Data -- Conversational and Interactive Data -- Data Collection Strategies -- Conclusion -- Chapter 5. Data Analysis and Interpretation -- Data Organization and Management -- Logistical Considerations for Data Analysis and Interpretation -- Data Analysis -- To Use CAQDAS or Not, That Is the Question -- Data Interpretation -- Conclusion -- Chapter 6. Collaborative Autoethnographic Writing -- The Writing Challenge -- The Collaborative Writing Paradigm -- Pre-Collaborative Autoethnography Writing -- Collaborative Autoethnography Writing -- Post-Collaborative Autoethnography Writing -- Conclusion -- Chapter 7. A pplications of Collaborative Autoethnography -- Practice in the Classroom -- Building Community -- Research as Activism -- Tool for Critical Work -- Professional Development -- Conclusion -- Epilogue: Our Approach -- The Beginnings -- Planning Our Data Collection
Collaborative Autoethnography Writing -- In Retrospect -- Notes -- References -- Appendix A Writing Prompts Used for Individualized Data Collection -- Appendix B Article: "Exemplifying Collaborative Autoethnographic Practice via Shared Stories of Mothering" by Geist-Martin et al. -- Index -- About the Authors
Title Collaborative Autoethnography
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