Ebook Download Making Sense of Qualitative Data: Complementary Research Strategies (And Social Thought), by Amanda Jane Coffey, Paul Anthony Atkinson
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Making Sense of Qualitative Data: Complementary Research Strategies (And Social Thought), by Amanda Jane Coffey, Paul Anthony Atkinson
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Once a research project has been designed and the data have been gathered, what is the best way to transform this information into something useful? The authors of this practical volume highlight the range of approaches available to qualitative researchers by using a single data set which they analyze using a number of techniques. With special attention paid to the possibilities in computer-aided analysis, this book will be an invaluable resource for the relatively new qualitative researcher.
- Sales Rank: #211195 in Books
- Published on: 1996-03-14
- Original language: English
- Number of items: 1
- Dimensions: 9.06" h x .55" w x 6.02" l, .80 pounds
- Binding: Paperback
- 216 pages
About the Author
Paul Atkinson is Distinguished Research Professor of Sociology at Cardiff University, a Fellow of the Academy of Social Sciences, a Fellow of the Learned Society of Wales, and a Fellow of the Institute of Welsh Affairs. Recent books include Creating Conditions (with Katie Featherstone), Everyday Arias: An Operatic Ethnography, and Contours of Culture (with Sara Delamont and William Housley). He is currently conducting ethnographic work in art-makers’ studios. His most recent book is For Ethnography (SAGE, 2014). He and Sara Delamont were the founding editors of Qualitative Research, which they edited for 14 years. Together with Sara Delamont, Amanda Coffey, John Lofland and Lyn Lofland, he edited the Sage Handbook of Ethnography. He will be editor-in-chief, with Sara Delamont, Melissa Hardy and Malcolm Williams, of the SAGE Encyclopaedia of Research Methods.
Most helpful customer reviews
5 of 6 people found the following review helpful.
WOULD RECOMMEND
By M. ODonnell
I read this book as part of an advanced qualitative research methods course. This book is excellent and could be understood even by beginning researchers. The example data set is easy to follow and applicable to the ideas and points the authors are trying to make. Easy to read and follow and even more helpful if you have your own project/data to think about as you read. I am sure I will refer back to this book as I write my dissertation.
0 of 0 people found the following review helpful.
Three Stars
By Zachary P Goldman
Decent but I prefer Cresswell's text.
2 of 5 people found the following review helpful.
helped in the course
By Robert Holter
This was required reading and as such it actually help me with the course of study. Hope it helps you too.
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