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Integrating Analyses in Mixed Methods Research

Integrating Analyses in Mixed Methods Research

First Edition
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October 2017 | 344 pages | SAGE Publications Ltd

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. 

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

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).

Dr Russell Delderfield
Academic Skills Advice, Bradford University
January 4, 2018

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.

Miss Tracey Canham
Health Care and Early Years, Swindon College
October 26, 2017

this is a hugely useful resource for any student considering a mixed methods approach

Ms Sarah-Jane Ryan
School of Health Professions, Brighton University
October 2, 2017

This is an excellent text for postgraduate students and researchers who wish to conduct mixed methods studies.

Dr Ian Fletcher
Div. of Clinical Psychology, Lancaster University
September 29, 2017

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

Mr Paul Rouse
Fac of Business,Environment & Society, Coventry University
September 29, 2017

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.

Bill Boyd
School of Env Science & Mgmt, Southern Cross University - Lismore Campus
September 25, 2017

Easy to apply and understand and well explained

Mrs Eileen Mc Partland
Vocational Education, Liberties College of Further Education
September 25, 2017

I did not receive this book

Miss Kathryn Reaney
Communication & Media, Sheffield Hallam University
September 25, 2017

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