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Qualitative Data Analysis
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Qualitative Data Analysis
Practical Strategies



February 2013 | 472 pages | SAGE Publications Ltd

Lecturers/instructors only - request a free digital inspection copy here 

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.

 
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

This text is valuable in that it goes beyond the recognised ways of undertaking qualitative research methods to actually considering how the data might be analysed and evaluated.

Dr Brian Marsh
School of Education, Brighton University
February 21, 2014

Comprehensive text with useful applications and detail of how to undergo the analysis stage of the research process. Useful for students, academics and clinicians

Mrs Liz Cade
Health , Glyndwr University
December 20, 2013

Provides useful expansion and focus of the topic area from the broader view provided by the Modules core text, for those students following the qualitative approach to their research.

Mr Keith Patrick
Business Information Management & Operations, University of Westminster
November 29, 2013

Very clear guidelines for qualitative researchers. Excellent illustrations and concise explanations.

Mr Richard Bowles
Dept of Education, University of Limerick
October 26, 2013

A wide ranging and clearly written analysis which would support research at masters level and beyond.

Elaine Pattison
Department of Education, Newman University College
October 21, 2013

Excellent!

Mrs Tania De Villiers
Division of Nursing, University of Cape Town
October 15, 2013

Valuable text for informing student how to handle and control qualitative data.

Would have benefitted from a section on autoethnography and memory as qualitative data.

Dr John Struthers
Nursing , DHSS Education and training Centre
October 9, 2013

A very useful book to illuminate the analytical process

Dr Nikki Petty
Health , Brighton University
October 4, 2013

A really good comprehensive text offering bioth undergradfuates and postgraduates a useful resource

Ms Carole Smith
Counselor Education , Huddersfield University
October 1, 2013

Very good book on qualitative data analysis. A comprehensive source on qualitative data analysis.

Dr Fawaz Baddar
Marketing , IESEG School of Management
September 17, 2013

Sample Materials & Chapters

Ch 1. Preparing the Way: Laying the Foundations for Analysis


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