Integrating Analyses in Mixed Methods Research
Key techniques include:
- Building an integrative framework
- Analyzing 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
Supplements
"...This book fills a necessary gap for guiding how one practically integrates data. Interestingly, this book appears to be a culmination of Bazeley’s thinking and work over the past twenty years; for example, in 2016, Bazeley proposed that the 'real challenge' of mixed methods research is integration, particularly during analysis and reporting. This book is therefore both timely in helping to address this challenge and optimal in helping to produce high-quality literature in the field...."
This is essential reading for any doctoral researcher who is planning to work with mixed methods (as well as being a reaffirming read for more experienced researchers).
This publication covers a wide variety of data collection methods, enabling students to follow different approaches of evaluating research. Each section enables students to follow detailed information on how to analyse their results and a recommended source for further reading.
this is a hugely useful resource for any student considering a mixed methods approach
This is an excellent text for postgraduate students and researchers who wish to conduct mixed methods studies.
A useful resource for students to refer to and get advice when considering whether to use a mixed methods approach in research for their dissertation
Pat Bazeley almost overwhelms the reader with a richness and depth of detail in this wonderful book on mixed methods. Given the debates around mixed methods, the book takes, thankfully, a very practical approach. This is about doing social science research, not theorising the methods. It is shouting from the rooftops: just do it!
Commencing with a thankfully short statement of why and what mixed methods, the book focusses on the great challenge, integration. How to plan, execute and finalise rigorous and valid analysis from a range of methods and data sources that could best be described as incompatible? Peppered with examples, the text focusses on structured planning. Indeed parts of the text could serve equally well as a guide to good research or project planning. Extending the visual language of plans and flow charts, all the elements of good integrative analysis are stepped through. Each element is illustrated by example, leaving the reader in no doubt that integrated analysis in mixed methods research is a serious endeavour. Any doubts a reader may have about the credibility of co-analysing disparate data sources surely must be left at the door.
The central theme of integration is important. This allows the book to avoid the endless (and unhelpful) 'qual-quant' debate. The book, on the other hand, recognises three important matters. It recognises the messiness of real world data. It recognises need for observations and data to be rigorous and meaningful. It recognises the challenges of integrating the analysis seemingly incompatible information.
This book presents a broadside to the traditionalists who cannot see the validity of, for example, narrative analysis, content theory, experiential accounts, and for those who consider the only good data is numerical or statistical. (Yes, there are such people out there.) The final chapter says it all: how to move from analysis to 'warranted assertions and a coherent, negotiated account'. Pat Bazeley removes any doubt that mixed methods research can create rigorous understandings and insights of the world, even if that world is messy, multifarious and diverse.
Easy to apply and understand and well explained
I did not receive this book
