Integrating Analyses in Mixed Methods Research

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.

• 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

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.