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 framework Analysing sequential, complementary and comparative data Identifying patterns and contrasts in linked data Categorizing, counting, and blending mixed data Managing dissonance and divergence Transforming 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.
Building an integrative framework Analysing sequential, complementary and comparative data Identifying patterns and contrasts in linked data Categorizing, counting, and blending mixed data Managing dissonance and divergence Transforming 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.
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
Donna M. Mertens 20170519