Qualitative Data Analysis - Bazeley, Pat
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Présentation Qualitative Data Analysis Format Broché
- Livre Science humaines et sociales, Lettres
Résumé :
Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative data analysis that is both systematic and insightful.
Biographie: Pat Bazeley is Director of Research Support P/L and Adjunct Professor in the Translational Research and Social Innovation Centre at Western Sydney University. Since graduating in psychology, she has worked in community development, as an evaluation researcher, and in academic research development. For almost 30 years Pat has been providing research training and project consulting to academics, graduate students and practitioners representing a wide range of disciplines across Australia and internationally. Her particular expertise is in helping researchers to make sense of qualitative, survey, and mixed methods data, and to use computer programs for management and analysis of data. Pat's research has focused on qualitative and mixed methods data analysis, the development and performance of researchers, and the wellbeing of older women. She has published books, chapters, and articles on mixed methods and qualitative data analysis. She serves on the Editorial Board of the Journal of Mixed Methods Research and was 2015-2016 President of the Mixed Methods International Research Association.
Sommaire:
Part I: Laying the foundations for analysis
Chapter 1: Thinking and working qualitatively
Chapter 2: Foundations for thinking and working qualitatively
Chapter 3: Design that supports analysis
Chapter 4: Managing and preparing data for analysis
Part II: Fundamentals of analysis: working with data
Chapter 5: Read, reflect, and connect: initial explorations of data
Chapter 6: Coding as an analytic strategy
Chapter 7: Tools to manage the coding process
Chapter 8: Codes, themes, and descriptive writing
Chapter 9: Working with cases to build understanding and explanation
Chapter 10: Learning from stories, accounts, and conversations
Chapter 11: Analysing visual data
Chapter 12: Comparative analyses using coded data
Part III: Extending analysis beyond codes and themes
Chapter 13: Exploring, seeing, and investigating connections in data
Chapter 14: Elaborating concepts, developing theory
Chapter 15: Realising coherent understanding
Chapter 16: Defending and extending: issues of quality and significance
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