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Quantitative, qualitative, and mixed methodologies in digital social sciences

By: Contributor(s): Publication details: London : Routledge, 2026.Edition: 1st editionDescription: 184 pagesContent type:
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  • 9781040960318 (e-book)
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  • Also available in printed form ISBN 9781041339410
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.
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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.

Also available in printed form ISBN 9781041339410

Electronic reproduction. Mode of access: World Wide Web.

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