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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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. This book 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041339403
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Paperback. Etat : New. 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. N° de réf. du vendeur LU-9781041339403
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Paperback. Etat : New. 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. N° de réf. du vendeur LU-9781041339403
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