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Qualitative Research Using R: A Systematic Approach

  • Yanto Chandra
  • Liang Shang

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Yanto Chandra, Liang Shang
    Pages 1-19
  3. Yanto Chandra, Liang Shang
    Pages 21-31
  4. Yanto Chandra, Liang Shang
    Pages 33-45
  5. Yanto Chandra, Liang Shang
    Pages 47-51
  6. Yanto Chandra, Liang Shang
    Pages 53-63
  7. Yanto Chandra, Liang Shang
    Pages 65-74
  8. Yanto Chandra, Liang Shang
    Pages 75-89
  9. Yanto Chandra, Liang Shang
    Pages 91-106
  10. Yanto Chandra, Liang Shang
    Pages 107-123
  11. Yanto Chandra, Liang Shang
    Pages 125-136
  12. Yanto Chandra, Liang Shang
    Pages 137-144
  13. Yanto Chandra, Liang Shang
    Pages 145-147
  14. Back Matter
    Pages 149-151

About this book

Introduction

This book highlights the rise of the Gioia methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the Gioia methodology can be operationalized and enhanced using RQDA. It also provides a technical and methodological review of RQDA as a new CAQDAS tool. Covering various techniques, it offers methodological guidance on how to connect CAQDAS tool with accepted paradigms, particularly the Gioia methodology, to produce high-quality qualitative research and includes step-by-step instructions on using RQDA under the Gioia qualitative research paradigm. Lastly, it comprehensively discusses methodological issues in qualitative research. This book is useful for qualitative scholars, PhD/postdoctoral students and students taking qualitative methodology courses in the broader social sciences, and those who are familiar with programming languages and wish to cross over to qualitative data analysis.

"At long last! We now have a qualitative data-analysis approach that enhances the use of a systematic methodology for conducting qualitative research. Chandra and Shang should be applauded for making our research lives a lot easier. And to top it all off, it’s free." Dennis Gioia, Penn State University, USA

The authors provide an important new toolkit for qualitative researchers that will improve the depth and rigor of their data analysis. Students and seasoned researchers alike should take note!” Nelson Phillips, Imperial College, United Kingdom

The book makes me want to go back to my old data and start over! Nicole Coviello, Wilfrid Laurier University, Canada

Keywords

Open source software RQDA Qualitative data analysis Computer-assisted qualitative analysis Grounded-theory development R and RQDA Computer-assisted qualitative research Qualitative research in social sciences Data preparation and sampling

Authors and affiliations

  • Yanto Chandra
    • 1
  • Liang Shang
    • 2
  1. 1.The Hong Kong Polytechnic UniversityHong KongHong Kong
  2. 2.City University of Hong KongHong KongHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-3170-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Social Sciences
  • Print ISBN 978-981-13-3169-5
  • Online ISBN 978-981-13-3170-1
  • Buy this book on publisher's site