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Acquire the tools and strategies you need to confidently and creatively practice integration in mixed methods analysis. Encouraging you to embrace complexity and work across boundaries, this book shows you how to integrate data analytically, and work with the rich findings that result.
With new chapters and an updated structure, this second edition:
- Examines the dimensions of integration, introducing a framework to use in your own research;
- Enables you to ensure conversation takes place between your chosen methodological approaches so you can reap their full potential;
- Presents strategies for managing dissonance and divergence in different types of data;
- Considers how computational approaches like LLMs can aid analysis, while still requiring critical researcher engagement.
Pragmatic and systematic, this is an essential guide for students and researchers conducting mixed methods research.
List of contents
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
About the author
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.
