Description

Book Synopsis

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.

The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples.

After reading this book, readers will be able to:

  • Analyze qualitative data and present their findings
  • Select an appropriate qualitative analysis tool<

    Table of Contents

    1. Introduction to Qualitative Data Analysis
    2. Review of Qualitative Approaches and their Data Analysis Methods
    3. Understanding the Art of Coding Qualitative Data
    4. Preparing Data to Code
    5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions
    6. Documenting Personal Reflections and Analytical Process
    7. Manually Assigning Codes to Data
    8. Developing Categories and Themes
    9. Connecting Themes and Developing Tables and Diagrams
    10. Using QDA Miner Lite to Analyze Qualitative Data
    11. Using NVivo 12 to Analyze Qualitative Data
    12. Using Dedoose to Analyze Qualitative Data
    13. Presenting Qualitative Findings
    14. Ensuring Credibility of the Analysis Process and Findings
    Appendix

A StepbyStep Guide to Qualitative Data Coding

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    £123.50

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    RRP £130.00 – you save £6.50 (5%)

    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Hardback by Philip Adu

    15 in stock


      View other formats and editions of A StepbyStep Guide to Qualitative Data Coding by Philip Adu

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/16/2019 12:04:00 AM
      ISBN13: 9781138486850, 978-1138486850
      ISBN10: 113848685X

      Description

      Book Synopsis

      A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.

      The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples.

      After reading this book, readers will be able to:

      • Analyze qualitative data and present their findings
      • Select an appropriate qualitative analysis tool<

        Table of Contents

        1. Introduction to Qualitative Data Analysis
        2. Review of Qualitative Approaches and their Data Analysis Methods
        3. Understanding the Art of Coding Qualitative Data
        4. Preparing Data to Code
        5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions
        6. Documenting Personal Reflections and Analytical Process
        7. Manually Assigning Codes to Data
        8. Developing Categories and Themes
        9. Connecting Themes and Developing Tables and Diagrams
        10. Using QDA Miner Lite to Analyze Qualitative Data
        11. Using NVivo 12 to Analyze Qualitative Data
        12. Using Dedoose to Analyze Qualitative Data
        13. Presenting Qualitative Findings
        14. Ensuring Credibility of the Analysis Process and Findings
        Appendix

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