Description
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.
Table of Contents
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
