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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Bibliographic Details
Main Authors:	Chang, Heewon, Ngunjiri, Faith Wambura, Hernandez, Kathy-Ann C.
Format:	eBook Book
Language:	English
Published:	Walnut Creek, Calif Routledge 2013 Taylor and Francis Left Coast Press Taylor & Francis Group
Edition:	1
Series:	Developing Qualitative Inquiry
Subjects:	Authors Autobiography Collaboration Ethnography Ethnography and Autoethnography Ethnology Ethnology - Research Ethnology > Authorship Ethnology > Methodology Methodology Qualitative Methods 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
ISBN:	9781598745559, 1598745557, 9781598745566, 1598745565
Online Access:	Get full text
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Table of Contents:

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