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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
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.
Marta Pikiewicz is an early-career researcher affiliated with WSB University, whose work focuses on sustainable development, organisational value creation, and management in contemporary organisations, with contributions to research on ESG practices in the IT sector.
Katarzyna Szczepańska-Woszczyna holds a postdoctoral degree in economic sciences and is a Vice-Rector for Research and Education at WSB University, specializing in management and quality sciences, with a focus on HRM, innovation, knowledge transfer, and sustainability
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This book 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 modelling and factor analysis, with a clear focus on transparency and responsible inference.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Quantitative Methods of Research in Digital Landscape (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041339437
ISBN 13: 9781041339434
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Hardcover. Condizione: new. Hardcover. Quantitative Methods of Research in Digital Landscape equips social science and management researchers to design, run, and interpret statistical analyses for todays 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 Masters 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. This book equips social science and management researchers to design, run, and interpret statistical analyses for todays data-rich research environment, from core descriptive statistics and hypothesis tests through to regression modelling and factor analysis, with a clear focus on transparency and responsible inference. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781041339434
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Quantitative Methods of Research in Digital Landscape (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041339437
ISBN 13: 9781041339434
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Hardcover. Condizione: new. Hardcover. Quantitative Methods of Research in Digital Landscape equips social science and management researchers to design, run, and interpret statistical analyses for todays 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 Masters 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. This book equips social science and management researchers to design, run, and interpret statistical analyses for todays data-rich research environment, from core descriptive statistics and hypothesis tests through to regression modelling and factor analysis, with a clear focus on transparency and responsible inference. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781041339434
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Quantitative Methods of Research in Digital Landscape (New Methodologies of Research for PhD and Beyond)
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Condizione: New. Lukasz Sulkowski 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.Marta Pikiewicz i. Codice articolo 2923226301
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Quantitative Methods of Research in Digital Landscape (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2026
ISBN 10: 1041339437
ISBN 13: 9781041339434
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Hardcover. Condizione: new. Hardcover. Quantitative Methods of Research in Digital Landscape equips social science and management researchers to design, run, and interpret statistical analyses for todays 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 Masters 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. This book equips social science and management researchers to design, run, and interpret statistical analyses for todays data-rich research environment, from core descriptive statistics and hypothesis tests through to regression modelling and factor analysis, with a clear focus on transparency and responsible inference. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781041339434
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