Yanto Chandra, Liang Shang

Qualitative Research Using R: A Systematic Approach (eBook, PDF)

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 151
• Erscheinungstermin: 23. April 2019
• Englisch
• ISBN-13: 9789811331701
• Artikelnr.: 56833649

Autorenporträt

Yanto Chandra is an associate professor in the Department of Applied Social Sciences, Faculty of Health and Social Sciences at Hong Kong Polytechnic University (PolyU). His research focuses on organizations that create hybrid (economic and social) value, and how organizations (both for-profit and non-profit) shape the social structures of their communities. His research has been published in leading journals, including the Journal of Business Venturing, the Journal of International Business Studies, VOLUNTAS, and World Development, among others. He is an Associate Editor of the Journal of Social Entrepreneurship and also serves on the editorial board of the Social Enterprise Journal. Dr Chandra was the recipient of the Outstanding Paper Award 2010 from Emerald Publishers, as well as City University of Hong Kong's Teaching Excellence Award in 2016 and Teaching Innovation Award 2017. Prior to joining PolyU, he was an associate professor at the Department of Public Policy at the City University of Hong Kong (CityU), assistant professor in the Marketing and Strategy Department at the University of Leeds (United Kingdom) and University of Amsterdam (Netherlands). Prior to academia, he spent several years in the corporate world in Hong Kong, Singapore and Jakarta.

Shang Liang is a PhD candidate at the Department of Public Policy, City University of Hong Kong. She has a degree in Social Policy and Administration from Hong Kong Polytechnic University. Her research focuses on social entrepreneurship, non-profit organizations, and civil society in general. She is an experienced RQDA user and is an R user in both qualitative and quantitative research.

Inhaltsangabe

Chapter 1: Qualitative Research: From Paradigms and Execution.- Chapter 2: Computer-Assisted Qualitative Research: Why and How.- Chapter 3: Integrating Computer-Assisted Qualitative Data Analysis and Qualitative Research.- Chapter 4: An Overview of R and RQDA: An Open Source CAQDAS Platform.- Chapter 5: Installing RQDA.- Chapter 6: Data Preparation and Sampling.- Chapter 7: Starting and Launching RQDA.- Chapter 8: Inductive Coding Process.- Chapter 9: Data Attributes and Memos.- Chapter 10: Codes Aggregation, Plotting and Exporting.- Chapter 11: Grounded Theory Development.- Chapter 12: Conclusion.