Qualitative Research Using R: A Systematic Approach

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 atthe 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.

• 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.