Quantitative, Qualitative, and Mixed Methodologies in Digital Social Sciences brings together quantitative analysis, qualitative inquiry, and mixed methods for the digital era. This volume shows how to design robust social science research using online surveys, platform data, digital traces, and computational tools, while keeping theory, context, and interpretation in view.
Designed for doctoral students, early-career researchers, and applied researchers across sociology, psychology, education, public policy, communication, and management, it supports graduate methods teaching and real research projects in data-rich digital settings.
Table of Contents:
Introduction, 1. Quantitative Research in Social Sciences, 2. Qualitative Research in Social Sciences, 3. Mixed-Methods Research in Social Sciences, 4. Research Design and Methodological Planning, 5. Data Collection Methods: Traditional and Digital Approaches, 6. Data Analysis Strategies: Statistical, Qualitative, and Computational Tools, 7. Triangulation and Integration of Findings, 8. Academic Rigor in Social Science Research, 9. Conclusion, 10. References
About the Author :
Łukasz Sułkowski is a professor of economic sciences and humanities specializing in higher education management, social science methodology, HRM, and organizational culture, and serves as President of WSB University.
Robert Seliga holds a PhD in economics, specializing in management, higher education marketing, and the professionalization of management in universities.
Zdzisława Dacko-Pikiewicz is the Rector of WSB University and holds a habilitation in management and quality sciences, her research spans reputation management, innovation, family business, competence development, and sustainability, with particular relevance to debates on organisational resilience, competitiveness, and knowledge transfer.
