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245 10 a| Quantitative, qualitative, and mixed methodologies in digital social sciencesh| [electronic resource] /c| Łukasz Sułkowski, Zdzisława Dacko-Pikiewicz and Robert Seliga.;

260 a| Abingdon, Oxon ;a| New York, NY :b| Routledge,c| 2026.;

263 a| 2605;

300 a| pages cm.;

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353 a| indexb| index0| http://id.loc.gov/vocabulary/msupplcont/index;

490 0 a| New research methodologies for PhD and beyond: digital transformation and AI methods for social sciences and management;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction -- Quantitative Research in Social Sciences -- Qualitative Research in Social Sciences -- Mixed-Methods Research in Social Sciences -- Research Design and Methodological Planning -- Data Collection Methods: Traditional and Digital Approaches -- Data Analysis Strategies: Statistical, Qualitative, and Computational Tools -- Triangulation and Integration of Findings -- Academic Rigor in Social Science Research -- Conclusion.;

506 a| Available only to authorized users.;

520 a| "Digital Quantitative, Qualitative, and Mixed Methodologies in 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. Key features include: frameworks to plan studies that use online surveys, platform data, and digital traces coverage of digital quantitative methods, digital qualitative methods such as digital ethnography, and mixed-methods integration worked examples that connect statistical tools with interpretive analysis, including ways to combine survey results with social media analytics and qualitative coding software guidance on data quality, privacy, research ethics, transparency, and reproducible reporting. 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"-- Provided by publisher.;

538 a| Mode of access: World Wide Web;

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650 0 a| Mixed methods research0| http://id.loc.gov/authorities/subjects/sh2010001158=| ^A1037204;

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700 1 a| Dacko-Pikiewicz, Zdzisława0| http://id.loc.gov/authorities/names/n20180224411| http://id.loc.gov/rwo/agents/n2018022441.?| UNAUTHORIZED;

700 1 a| Seliga, Robert0| http://id.loc.gov/authorities/names/n20260113151| http://id.loc.gov/rwo/agents/n2026011315.?| UNAUTHORIZED;

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Quantitative, qualitative, and mixed methodologies in digital social sciences / Łukasz Sułkowski, Zdzisława Dacko-Pikiewicz and Robert Seliga.

Author/creator	Sułkowski, Łukasz, 1972
Other author	Dacko-Pikiewicz, Zdzisława
Other author	Seliga, Robert
Format	Electronic
Publication Info	Abingdon, Oxon ; New York, NY : Routledge, 2026.
Description	pages cm.
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Social sciences--Research. --Methodology. Quantitative research Qualitative research Mixed methods research

Series	New research methodologies for PhD and beyond: digital transformation and AI methods for social sciences and management
Contents	Introduction -- Quantitative Research in Social Sciences -- Qualitative Research in Social Sciences -- Mixed-Methods Research in Social Sciences -- Research Design and Methodological Planning -- Data Collection Methods: Traditional and Digital Approaches -- Data Analysis Strategies: Statistical, Qualitative, and Computational Tools -- Triangulation and Integration of Findings -- Academic Rigor in Social Science Research -- Conclusion.
Abstract	"Digital Quantitative, Qualitative, and Mixed Methodologies in 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. Key features include: frameworks to plan studies that use online surveys, platform data, and digital traces coverage of digital quantitative methods, digital qualitative methods such as digital ethnography, and mixed-methods integration worked examples that connect statistical tools with interpretive analysis, including ways to combine survey results with social media analytics and qualitative coding software guidance on data quality, privacy, research ethics, transparency, and reproducible reporting. 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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2026011145
ISBN	9781041339403 paperback
ISBN	9781041339410 hardback
ISBN	ebook

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