Integrating Analyses in Mixed Methods Research (Paperback)Patricia Bazeley (author)
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Integrating Analyses in Mixed Methods Research goes beyond mixed methods research design and data collection, providing a pragmatic discussion of the challenges of effectively integrating data to facilitate a more comprehensive and rigorous level of analysis. Showcasing a range of strategies for integrating different sources and forms of data as well as different approaches in analysis, it helps you plan, conduct, and disseminate complex analyses with confidence. Key techniques include:Building an integrative frameworkAnalysing sequential, complementary and comparative dataIdentifying patterns and contrasts in linked dataCategorizing, counting, and blending mixed dataManaging dissonance and divergenceTransforming analysis into warranted assertions
With clear steps that can be tailored to any project, this book is perfect for students and researchers undertaking their own mixed methods research.
Publisher: SAGE Publications Inc
Number of pages: 344
Weight: 28 g
Dimensions: 242 x 170 mm
-- Donna M. Mertens
This is a book on data analysis that mixed methods enthusiasts will give a hearty welcome. Within a framework differentiating sequential and complementary analyses, Pat Bazeley systematically catalogs and richly illustrates multiple strategies for integrative mixed methods data analysis. Thoughtful examples abound that importantly enrich the text.-- Jennifer C. Greene
Bazeley is one of the pioneers of contemporary mixed methods, and writes with authority, clarity, and a wealth of examples that make her latest contribution both cutting-edge and accessible. Data integration is now recognised as the heart of the mixed method enterprise and Bazeley gives the field a definitive treatment of the many approaches, dimensions and issues in integrating mixed methods data for analytic insight.
-- Nigel Fielding
Pat Bazeley has provided a much-needed, in-depth and thorough treatment of integration in mixed methods as well as the epistemological and practical considerations involved. The combination of accessibility and rigour makes this a useful -- perhaps essential -- text for research students and seasoned mixed methods researchers alike.
-- Ariel Lindorff
Patricia Bazeley has produced a much needed and awaited text which addresses the main issues and controversies around truly integrated mixed methods research. A common criticism of those claiming to be utilising mixed methods research designs is that there appears to be a lack of integration of the qualitative and quantitative data when analysing data and reporting that analysis. This is a very timely book as the mixed methods research community is maturing and and a wide range of disciplines are taking up mixed methods research. As a result the book speaks to a very wide discipline base from behavioural and social sciences, health, nursing and medicine, business and management fields and many other fields such as environmental science, geographic information systems and engineering. In addition the book has value for a wide range of researchers, those who are only just starting to contemplate utilising mixed methods research and those wishing to hone their mixed methods research designs and data analysis techniques.
Patricia is a much respected research methodologist who has decades of research experience and has dedicated her professional life to the development of researchers through her workshops, scholarly activities and research. The contribution of this book to the mixed methods field is significant and will be a long lasting one.-- Ros Cameron
This book provides an excellent introduction into mixed methods research for both early career academics and students. The text is accessible to both quantitative and qualitative researchers, detailing clear guidelines on how and when to integrate data collected via different methods. Although many people claim to conduct mixed methods research, Bazeley shows an in-depth understanding of both quantitative and qualitative methods of data collection and analysis and is therefore able to highlight the strengths and pitfalls of integrating data. Throughout the text, Bazeley provides examples from various researchers that serve to put the theoretical into the actual. Overall, this text provides an excellent `how-to' guide for researchers.-- Jenny Chesters
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