Read more
Informationen zum Autor 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. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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 datä 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 ...
