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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…mehr
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.
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Autorenporträt
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.
Inhaltsangabe
Part One: A foundation for integrated analysis Chapter 1: Mixed methods in context Chapter 2: Planning for analysis Chapter 3: Interpreting data Part Two: Integrative analysis strategies Chapter 4: Sequential integration: Analysis guiding design and further analysis Chapter 5: Complementary analysis of varied data sources Chapter 6: Analysing linked data: Seeking patterns and contrasts Chapter 7: From codes and counts to content analysis and 'big data' Chapter 8: Integration through data transformation 1: Qualitative data to statistical variables Chapter 9: Integration through data transformation 2: Exploratory, blended, and narrative approaches Chapter 10: Inherently mixed, hybrid methods Chapter 11: Exploring dissonance and divergence Part 3: Negotiated, warranted inferences Chapter 12: From integrative analyses to warranted assertions and a coherent, negotiated account
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
Part One: A foundation for integrated analysis Chapter 1: Mixed methods in context Chapter 2: Planning for analysis Chapter 3: Interpreting data Part Two: Integrative analysis strategies Chapter 4: Sequential integration: Analysis guiding design and further analysis Chapter 5: Complementary analysis of varied data sources Chapter 6: Analysing linked data: Seeking patterns and contrasts Chapter 7: From codes and counts to content analysis and 'big data' Chapter 8: Integration through data transformation 1: Qualitative data to statistical variables Chapter 9: Integration through data transformation 2: Exploratory, blended, and narrative approaches Chapter 10: Inherently mixed, hybrid methods Chapter 11: Exploring dissonance and divergence Part 3: Negotiated, warranted inferences Chapter 12: From integrative analyses to warranted assertions and a coherent, negotiated account
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
Rezensionen
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 20170519
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