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Qualitative data analysis : practical strategies / Pat Bazeley.

By: Material type: TextTextPublisher: Los Angeles ; London : SAGE, 2013Description: xxiii, 444 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1849203024
  • 9781849203029
  • 1849203032
  • 9781849203036
Subject(s): DDC classification:
  • 300.723 23
LOC classification:
  • H62 .B39 2013
Partial contents:
Part 1. Preparing the way: laying the foundations for analysis -- 1. Foundations for thinking and working qualitatively -- 2. Designing for analysis -- 3. Managing and preparing data for analysis -- Part 2. Working with data: a pathway into analysis -- 4. Read, reflect and connect: initial explorations of data -- 5. Codes and coding: principles and practice -- 6. Naming, organising and refining codes -- 7. Alternative approaches to breaking open and connecting data -- Part 3. Describe, compare and relate: moving on from codes and themes -- 9. Comparative analyses as a means of furthering analysis -- 10. Relational analyses -- Part 4. Bringing it together: moving toward climax and closure -- 11. If... then ... is it because? Developing explanatory models and theories -- 12. Developing coherent understanding -- 13. Defending and extending: issues of quality and significance.
Summary: "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"--publisher.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book North Campus North Campus Main Collection 300.723 BAZ (Browse shelf(Opens below)) 1 Available A447342B
Book South Campus South Campus Main Collection 300.723 BAZ (Browse shelf(Opens below)) 1 Available A447346B

Includes bibliographical references (pages 423-440) and index.

Part 1. Preparing the way: laying the foundations for analysis -- 1. Foundations for thinking and working qualitatively -- 2. Designing for analysis -- 3. Managing and preparing data for analysis -- Part 2. Working with data: a pathway into analysis -- 4. Read, reflect and connect: initial explorations of data -- 5. Codes and coding: principles and practice -- 6. Naming, organising and refining codes -- 7. Alternative approaches to breaking open and connecting data -- Part 3. Describe, compare and relate: moving on from codes and themes -- 9. Comparative analyses as a means of furthering analysis -- 10. Relational analyses -- Part 4. Bringing it together: moving toward climax and closure -- 11. If... then ... is it because? Developing explanatory models and theories -- 12. Developing coherent understanding -- 13. Defending and extending: issues of quality and significance.

"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"--publisher.

Machine converted from AACR2 source record.

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