Qualitative Data Analysis: Practical Strategies

Qualitative Data Analysis: Practical Strategies

by Patricia Bazeley
     
 

A one-stop-shop for anyone who has collected, or is about to collect, data. The definitive step-by-step guide to qualitative data analysis, this is full of practical strategies from a world renowned researcherSee more details below

Overview

A one-stop-shop for anyone who has collected, or is about to collect, data. The definitive step-by-step guide to qualitative data analysis, this is full of practical strategies from a world renowned researcher

Product Details

ISBN-13:
9781849203036
Publisher:
SAGE Publications
Publication date:
03/30/2013
Pages:
444
Sales rank:
563,391
Product dimensions:
7.30(w) x 9.00(h) x 1.00(d)

Meet the Author

Pat Bazeley was awarded a Ph D 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 the 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.

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Table of Contents

PART ONE: 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
PART TWO: WORKING WITH DATA: A PATHWAY INTO ANALYSIS
Read, Reflect and Connect: Initial Explorations of Data
Read, and Read Again
Write As You Read
Purposeful Play-preliminary Explorations of Each Data Source
Explore the Storylines
Exploring Context
Identify Relevant Categories and Concepts
Involving Participants in Early Analysis
Re-focus, 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
Exercise
Further reading
Naming, Organizing 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
Exercise - Generating Codes
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
PART THREE: DESCRIBE, COMPARE AND RELATE: MOVING ON FROM CODES AND THEMES
Describing, Evolving and Theorizing 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
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
PART FOUR: 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 / Transferability
Theoretical Extension
Audiences and Representation
A Final Reflection
Writing About Quality and Significance
Exercises
Further Reading
After-Words

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