Qualitative Methods in Digital Inquiry | 3.19 MB
Title: Qualitative Methods in Digital Inquiry
Author: Łukasz Sułkowski, Iga Lehman, Katarzyna Szczepańska-Woszczyna
Category: Nonfiction, Social & Cultural Studies, Social Science, Methodology, Reference & Language, Reference
Language: English | 197 Pages | ISBN: 1598744895
Description:
Qualitative Methods in Digital Inquiry shows how to design, conduct, and analyse qualitative research in online and technology-rich settings, from virtual ethnography and netnography to visual and arts-based approaches. Key features include: Clear, step-by-step coverage of core methods such as ethnography, case study research, grounded theory, phenomenology, and discourse analysis, with guidance on adapting each approach to platform-based data and hybrid field sites. Direct answers to common problems in online fieldwork, including access, consent, anonymisation, and working with large text or platform archives without losing context. A balanced approach to research tools, including computer-assisted qualitative data analysis software (CAQDAS) and AI support for coding or text analysis, with emphasis on transparency, reflexivity, and research ethics. Written for PhD students, early-career researchers, and instructors across the social sciences and management, the book also supports applied researchers in UX, market research, and organisational development.
Qualitative Methods in Digital Inquiry shows how to design, conduct, and analyse qualitative research in online and technology-rich settings, from virtual ethnography and netnography to visual and arts-based approaches. Key features include: Clear, step-by-step coverage of core methods such as ethnography, case study research, grounded theory, phenomenology, and discourse analysis, with guidance on adapting each approach to platform-based data and hybrid field sites. Direct answers to common problems in online fieldwork, including access, consent, anonymisation, and working with large text or platform archives without losing context. A balanced approach to research tools, including computer-assisted qualitative data analysis software (CAQDAS) and AI support for coding or text analysis, with emphasis on transparency, reflexivity, and research ethics. Written for PhD students, early-career researchers, and instructors across the social sciences and management, the book also supports applied researchers in UX, market research, and organisational development.
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