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Quantitative Methods of Research in Digital Landscape
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Quantitative Methods of Research in Digital Landscape equips social science and management researchers to design, run, and interpret statistical analyses for today’s data-rich research environment, from core descriptive statistics and hypothesis tests through to regression modeling and factor analysis, with a clear focus on transparency and responsible inference. Written for PhD and Master’s students, advanced undergraduates, early-career researchers, and practitioners who work with social data in fields such as sociology, management, communication, education, public policy, and media studies, it supports methods training and applied research projects in the digital age.
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Keywords
- Advanced data analysis
- multivariate analysis
- Open science practices
- Quantitative research methods for digital data
- Reproducibility in research
- Social science statistics
- Structural Equation Modelling
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
- thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
- thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Links
DOI: 10.4324/9781003790303Editions
