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.
"synopsis" may belong to another edition of this title.
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
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.
"About this title" may belong to another edition of this title.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Seller Inventory # 408526118
Quantity: 3 available
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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. Seller Inventory # 9781041339434
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9781041339434
Quantity: Over 20 available
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: 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. Seller Inventory # 9781041339434
Quantity: 1 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26405676793
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9781041339434
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781041339434
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2026. 1st Edition. hardcover. . . . . . Seller Inventory # V9781041339434
Quantity: Over 20 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. Seller Inventory # 18405676787
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: 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. Seller Inventory # 9781041339434
Quantity: 1 available