Integrating Analyses in Mixed Methods Research 2/e

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 Analysis Chapter 1: Mixed methods in context Chapter 2: Unpacking integration, the dynamic core of mixed methods research Chapter 3: From theory to practice: approaches to integration and design Chapter 4: Design for integration Chapter 5: Working with data: preliminary considerations Part 2: Integrative Analysis Strategies Chapter 6: Sequential integration: analysis interfacing with design and further analysis Chapter 7: Combining diverse approaches in complementary analyses Chapter 8: Connect, compare, and contrast in joint displays Chapter 9: Case-based comparison: integration using matrices and crosstabs Chapter 10: Quantifying qualitative data Chapter 11: From counts and codes to variable data for statistical analysis Chapter 12: Exploring qualitative data with multivariate analyses Chapter 13: Transforming numeric data to create descriptive and narrative accounts Chapter 14: Using integrative strategies in combination Part 3: Engaging with Complexity Chapter 15: Complex mixed methods applications Chapter 16: Integrating computational approaches in mixed methods analyses Chapter 17: Exploring dissonance and divergence Part 4: Negotiated, Warranted Inferences Chapter 18: From integrative analyses to warranted assertions and a coherent, negotiated account