Part One: A foundation for integrated analysisChapter 1: Mixed methods in contextChapter 2: Planning for analysisChapter 3: Interpreting dataPart Two: Integrative analysis strategiesChapter 4: Sequential integration: Analysis guiding design and further analysisChapter 5: Complementary analysis of varied data sourcesChapter 6: Analysing linked data: Seeking patterns and contrastsChapter 7: From codes and counts to content analysis and 'big data'Chapter 8: Integration through data transformation 1: Qualitative data to statistical variablesChapter 9: Integration through data transformation 2: Exploratory, blended, and narrative approachesChapter 10: Inherently mixed, hybrid methodsChapter 11: Exploring dissonance and divergencePart 3: Negotiated, warranted inferencesChapter 12: From integrative analyses to warranted assertions and a coherent, negotiated account
Pat Bazeley was awarded a PhD in community psychology for an action research based thesis which argued that community development was an effective strategy for the promotion of mental health in a disadvantaged population. After graduating she worked in community development and as a freelance researcher, undertaking projects in public health, welfare, education, law and community studies. From 1991-9 she was responsible for research development and administration for academic staff at the University of Western Sydney, Macarthur. Currently, she is a (very) part time Associate Professor in the Centre for Primary Health Care and Equity at the University of New South Wales, supervising PhD students. From 2000-2013 Pat provided research training, consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. She continues to provide occasional training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organisations both locally and internationally. Her particular expertise is in helping researchers to make sense of qualitative, quantitative, and mixed methods data and in using computer programs for management and analysis of data. Her passion is to help people move beyond simple descriptive analyses of rich data. Pat has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analyses of different forms of data, and the methodological implications of doing so. She was 2015-16 President of the Mixed Methods International Research Association. Pat is currently on the Editorial Boards for the Journal of Mixed Methods Research and Qualitative Health Research, having served in the past as an Associate Editor of the Journal of Mixed Methods Research. She has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunisation services, and on the career development and performance of researchers.
This book provides an excellent introduction into mixed methods research for both early career academics and students. The text is accessible to both quantitative and qualitative researchers, detailing clear guidelines on how and when to integrate data collected via different methods. Although many people claim to conduct mixed methods research, Bazeley shows an in-depth understanding of both quantitative and qualitative methods of data collection and analysis and is therefore able to highlight the strengths and pitfalls of integrating data. Throughout the text, Bazeley provides examples from various researchers that serve to put the theoretical into the actual. Overall, this text provides an excellent `how-to' guide for researchers. -- Jenny Chesters Patricia Bazeley has produced a much needed and awaited text which addresses the main issues and controversies around truly integrated mixed methods research. A common criticism of those claiming to be utilising mixed methods research designs is that there appears to be a lack of integration of the qualitative and quantitative data when analysing data and reporting that analysis. This is a very timely book as the mixed methods research community is maturing and and a wide range of disciplines are taking up mixed methods research. As a result the book speaks to a very wide discipline base from behavioural and social sciences, health, nursing and medicine, business and management fields and many other fields such as environmental science, geographic information systems and engineering. In addition the book has value for a wide range of researchers, those who are only just starting to contemplate utilising mixed methods research and those wishing to hone their mixed methods research designs and data analysis techniques. Patricia is a much respected research methodologist who has decades of research experience and has dedicated her professional life to the development of researchers through her workshops, scholarly activities and research. The contribution of this book to the mixed methods field is significant and will be a long lasting one. -- Ros Cameron Pat Bazeley has provided a much-needed, in-depth and thorough treatment of integration in mixed methods as well as the epistemological and practical considerations involved. The combination of accessibility and rigour makes this a useful -- perhaps essential -- text for research students and seasoned mixed methods researchers alike. -- Ariel Lindorff Bazeley is one of the pioneers of contemporary mixed methods, and writes with authority, clarity, and a wealth of examples that make her latest contribution both cutting-edge and accessible. Data integration is now recognised as the heart of the mixed method enterprise and Bazeley gives the field a definitive treatment of the many approaches, dimensions and issues in integrating mixed methods data for analytic insight. -- Nigel Fielding This is a book on data analysis that mixed methods enthusiasts will give a hearty welcome. Within a framework differentiating sequential and complementary analyses, Pat Bazeley systematically catalogs and richly illustrates multiple strategies for integrative mixed methods data analysis. Thoughtful examples abound that importantly enrich the text. -- Jennifer C. Greene Bazeley addresses one of the biggest challenges faced by mixed methods researchers: the integration of data and interpretation of results that come from different data collection methods. She does so in a comprehensive and systematic way that is enhanced by the use of multiple examples that illustrate multiple mixed methods data analysis strategies. Bazeley also includes a diagram for each chapter that guides readers, making it easy to follow the detailed and thoughtful process provided in this important book. In addition, she demonstrates how integration can be accomplished using a variety of software packages, thus making this an excellent guide for the new and advanced mixed methods researcher. Researchers who want to maximize the data from a mixed methods study will find this an invaluable resource. -- Donna M. Mertens