Integrating Analyses in Mixed Methods Research - Bazeley, Pat
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Présentation Integrating Analyses In Mixed Methods Research Format Broché
- Livre Science humaines et sociales, Lettres
Résumé :
This book goes beyond mixed methods research design and data collection to provide a pragmatic discussion of the challenges of effectively integrating data to encourage a more comprehensive and rigorous level of analysis....
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 One: A foundation for integrated analysis
Chapter 1: Mixed methods in context
Chapter 2: Planning for analysis
Chapter 3: Interpreting data
Part Two: Integrative analysis strategies
Chapter 4: Sequential integration: Analysis guiding design and further analysis
Chapter 5: Complementary analysis of varied data sources
Chapter 6: Analysing linked data: Seeking patterns and contrasts
Chapter 7: From codes and counts to content analysis and ?big dat?
Chapter 8: Integration through data transformation 1: Qualitative data to statistical variables
Chapter 9: Integration through data transformation 2: Exploratory, blended, and narrative approaches
Chapter 10: Inherently mixed, hybrid methods
Chapter 11: Exploring dissonance and divergence
Part 3: Negotiated, warranted inferences
Chapter 12: From integrative analyses to warranted assertions and a coherent, negotiated account
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