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Qualitative Data Analysis Practical Strategies

ISBN-10: 1849203032
ISBN-13: 9781849203036
Edition: 2013
Authors: Patricia Bazeley
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Description: Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process,  More...

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Book details

Copyright year: 2013
Publisher: SAGE Publications, Limited
Publication date: 2/18/2013
Binding: Paperback
Pages: 472
Size: 6.25" wide x 8.75" long x 1.25" tall
Weight: 1.716
Language: English

Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process, including: - Designing and managing qualitative data for analysis - Working with data through interpretive, comparative, pattern and relational analyses - Developing explanatory theory and coherent conclusions, based on qualitative data. The book pairs theoretical discussion with practical advice using a host of examples from diverse projects across the social sciences. It describes data analysis strategies in actionable steps and helpfully links to the use of computer software where relevant. This is an exciting new addition to the literature on qualitative data analysis and a must-read for anyone who has collected, or is preparing to collect, their own data.

Pat Bazeley was awarded a PhD in community psychology for an action research based thesis which argued that community development was an effective strategy for the promotion of mental health in a disadvantaged population. After graduating she worked in community development and as a freelance researcher, undertaking projects in public health, welfare, education, law and community studies. From 1991-9 she was responsible for research development and administration for academic staff at the University of Western Sydney, Macarthur. Currently, she is a part-time Associate Professor in the Centre for Primary Health Care and Equity at thenbsp; University of New South Wales. Through her company, Research Support P/L, Pat provides research consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. Additionally, she provides training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organizations both locally and internationally. Her particular expertise is in helping researchers to make sense of both quantitative and qualitative data and in using computer programs for management and analysis of data. Her passion is to help people move beyond simple descriptive analyses of rich data.Pat has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analyses of different forms of data, and the methodological implications of doing so. She has served as an Associate Editor of the Journal of Mixed Methods Research and has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunization services, and on the career development and performance of researchers. Pat's own research has been focused in two quite different substantive areas: around the motivation, development, performance and careers of researchers; and in public/community health issues. She has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analysis of qualitative and quantitative data, and the methodological implications of doing so. Pat has served as an Associate Editor of the Journal of Mixed Methods Research, reviews articles and research proposals for a wide range of journals and international funding bodies, and has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunisation services, and on the career development and performance of researchers.

List of figures
List of tables
List of boxes
About the author
Preface
Software, symbols, and sample data
Acknowledgements
Preparing the Way: Laying the Foundations for Analysis
Foundations for thinking and working qualitatively
Thinking qualitatively
Thinking methods (and methodology)
Working qualitatively
Working qualitatively - using software
Foundations for working qualitatively
Working qualitatively - implications for analysis
Writing about foundations
Exercises
Further reading
Designing for analysis
Design: giving form to ideas Focusing the study
Designing for data that can be analysed
Planning for quality and credibility of conclusions
Putting it all together
Writing about design
Exercises
Further reading
Managing and preparing data for analysis
Before data collection
Keeping organised, available, and usable data records
Recording and preparing data for analysis
The importance of context
Recording sample details for analysis
Checks and balances for data
Managing relationships in the research team
Writing about data management
Exercises
Working with Data: A Pathway into Analysis
Data samples: becoming and being a researcher
Read, reflect, and connect: initial explorations of data
Read, and read again
Write as you read
Reflect in a research journal and/or memos
Annotate text
Purposeful play: preliminary explorations of each data source
Explore the storylines
Exploring context
Identify relevant categories and concepts
Involving participants in early analysis
Refocus, ready for the next phase
Writing about preliminary analysis
Exercises
Further reading
Codes and coding: principles and practice
Using codes to work with data
Practical tools for coding
Methods decisions in coding
Issues of validity and reliability in coding
Managing the process of coding
A final reminder: codes and coding in context
Writing about coding processes
Exercises
Further reading
Naming, organising, and refining codes
What's in a name?
Naming broad topic areas
Naming codes to capture substance and meaning
Automating coding
Developing a coding system
Reviewing and refining codes and the coding structure
Writing about codes
Exercises
Further reading
Alternative approaches to breaking open and connecting data
Building on cases
Themes as an alternative to codes?
Focus on interaction: working with focus group data
Focus on stories and accounts: identifying structure, interpreting meaning
Focus on discourse: the intersubjective space
The value of case-based approaches
Writing about your use of case-based, thematic, and narrative methods
Exercises
Further reading
Describe, Compare, and Relate: Moving on From Codes and Themes
Describing, evolving, and theorising concepts
Describing categories and concepts (or themes) as a step in analysis
Evolving concepts with analytic, meta-, or pattern codes
Theorising concepts
Writing about describing and analysing concepts
Exercises
Further reading
Comparative analyses as a means of furthering analysis
Why compare?
The comparative process
Managing data to make subgroup, contextual, or case comparisons
Comparing concepts or categories across groups or situations
Comparing cases
Interpreting comparative analyses
Writing about comparisons
Exercises
Further reading
Relational analyses
Coding and connecting working together
Investigating relational patterns
Cross-case analyses
Visual strategies for cross-case analyses
Identifying patterns of association between sets of related phenomena, using coded data
Relating data to a theoretical model
Investigating relationships between specific categories and concepts
Writing about exploring and testing relationships in data
Exercises
Further reading
Bringing it Together: Moving Toward Climax and Closure
If…then…is it because? Developing explanatory models and theories
Analytic progression
Explanatory theory as a goal of research
Foundations for explanatory theory
Logic-based questioning: finding the major premise
Puzzle solving with 'conjectures and refutations'
Case-based strategies
Theoretical development and integration in grounded theory
Visual tools for theory building
Writing about your developing theory
Further reading
Developing coherent understanding
Coherent understanding?
Coherence through description
Theoretical coherence
Coherence through display
A collection of tips and tricks for bringing it together
Writing about developing coherence
Further reading
Defending and extending: issues of quality and significance
The issue of quality
Generalisation and transferability
Theoretical extension
Audiences and representation
A final reflection
Writing about quality and significance
Exercises
Further reading
After-Words
References
Index

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