A new turn in mixed methods research is here: merged methods. This provocative book offers a novel analysis of current mixed methods research, complicating traditional approaches and challenging existing techniques.
Moving beyond the binary quantitative-qualitative distinction, the book presents methodologically grounded ways to merge methods in social research and integrate interpretive and structural approaches in one instrument or procedure.
The book:
- Considers the importance of merging both epistemologies and methodologies.
- Showcases eight merged methods research approaches, from the Delphi method to multimodal content analysis.
- Explores the opportunities for merging methods using computational techniques, such as text mining.
This innovative book is a must-read for any postgraduate student or researcher across the social sciences wanting to develop their understanding of mixed methods research.
Autorentext
Giampietro Gobo is Professor of Methodology of Social Research and Sociology of Science at the University of Milan (Italy). He was one of the founders of the 'Qualitative Methods' Research Network of the European Sociological Association.
His interests concern scientific controversies on health issues and workplace studies. He is currently undertaking projects on immunization and COVID-19 policies, and ethnographic experiments in the area of cooperation in small teamwork. His books include Doing Ethnography (Sage, 2008), Qualitative Research Practice (co-edited with C. Seale, J. F. Gubrium and D. Silverman, Sage, 2004) and Constructing Survey Data: An Interactional Approach (with S. Mauceri, Sage, 2014).
Inhalt
Introduction: Setting the Scene for Merged Methods
Part I: Epistemology and Methodology
Chapter 1: Merged Methods: Development and Emergence of a New Paradigm
Chapter 2: Merged Epistemology: Assumptions, Experience, Knowledge
Chapter 3: Merged Methodology: A Rationale for Merged Methods
Chapter 4: Designing Merged Methods Research
Part II: Methods
Chapter 5: The Delphi Method: Forecasting Scenarios
Chapter 6: The Event History Calendar and Intervey Methods
Chapter 7: Q-Methodology: Studying People's Viewpoints
Chapter 8: Multimodal Content Analysis: Texts and Sentiments
Chapter 9: Text Mining: From Tacit to Explicit Knowledge
Chapter 10: The SYMLOG Method: How to Analyze Behavior and Group Dynamics
Chapter 11: Conclusion: The Ways Ahead