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.Susanne Vogl is a Full Professor for Sociology and quantitative and qualitative social science research methods at the University of Stuttgart. Her work focusses on social science research methodology beyond paradigmatic boundaries. She engages with theoretical and conceptual underpinnings of research methods as well as their applicability. By critically reflecting on research practice, she advances research methodology and stimulates discussion on best practice. Her substantive fields of research include social inequality, deviant behaviour, young people, family, and the life course.

• Part 1: Foundations for Integrated AnalysisChapter 1: Mixed methods in contextChapter 2: Unpacking integration, the dynamic core of mixed methods researchChapter 3: From theory to practice: approaches to integration and designChapter 4: Design for integrationChapter 5: Working with data: preliminary considerationsPart 2: Integrative Analysis StrategiesChapter 6: Sequential integration: analysis interfacing with design and further analysisChapter 7: Combining diverse approaches in complementary analysesChapter 8: Connect, compare, and contrast in joint displaysChapter 9: Case-based comparison: integration using matrices and crosstabsChapter 10: Quantifying qualitative dataChapter 11: From counts and codes to variable data for statistical analysisChapter 12: Exploring qualitative data with multivariate analysesChapter 13: Transforming numeric data to create descriptive and narrative accountsChapter 14: Using integrative strategies in combinationPart 3: Engaging with ComplexityChapter 15: Complex mixed methods applicationsChapter 16: Integrating computational approaches in mixed methods analysesChapter 17: Exploring dissonance and divergencePart 4: Negotiated, Warranted InferencesChapter 18: From integrative analyses to warranted assertions and a coherent, negotiated account