With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods.
With a clear focus on the ‘how to’ of QDA, each chapter includes:
•Step-by-step descriptions of how to apply each approach in your research
•Online and in-text activities to help you practice your skills
•Annotated reading lists so you can dig deeper into key topics
•Case studies from a range of disciplines so you can see how each approach works in practice.
The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials.
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Peter A. J. Stevens (BA, MA Ghent University, MA, PhD Warwick University) is Associate Professor in Qualitative Research Methods at the Department of Sociology, Ghent University (Belgium). Stevens' research interests cover the areas of sociology of education and race/ethnic relations. His work has been published in leading journals in the field of education, race and ethnic relations and sociology, including Review of Educational Research, Journal of Ethnic and Migration Studies and Sociology of Education. He is editor with Gary Dworkin of The Palgrave Handbook of Race and Ethnic Inequalities in Education (2019, 2nd edition, Palgrave, Basingstoke).
An accessible introduction to help you get to grips with the how-to of qualitative data analysis, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods
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Paperback. Zustand: new. Paperback. With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the 'how to' of QDA, each chapter includes: * Step-by-step descriptions of how to apply each approach in your research * Online and in-text activities to help you practice your skills * Annotated reading lists so you can dig deeper into key topics * Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials. An accessible introduction to help you get to grips with the how-to of qualitative data analysis, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781529730425
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Paperback. Zustand: New. With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the 'how to' of QDA, each chapter includes: .Step-by-step descriptions of how to apply each approach in your research .Online and in-text activities to help you practice your skills .Annotated reading lists so you can dig deeper into key topics .Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials. Bestandsnummer des Verkäufers LU-9781529730425
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