Quantitative Methods of Research in Digital Landscape
Will be published approx. on 3. July 2026
194 pages
E-Book
978-1-040-96051-6 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
ISBN-13
978-1-040-96051-6 (9781040960516)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Lukasz Sulkowski | Marta Pikiewicz | Katarzyna Szczepanska-Woszczyna
Quantitative Methods of Research in Digital Landscape
Book
approx. 07/2026
1st Edition
Routledge
€191.50
Not yet published
Lukasz Sulkowski | Marta Pikiewicz | Katarzyna Szczepanska-Woszczyna
Quantitative Methods of Research in Digital Landscape
Book
approx. 07/2026
1st Edition
Routledge
€52.50
Not yet published
Persons
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 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 Szczepanska-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
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 Szczepanska-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
Content
Introduction, 1. Descriptive Statistics and Exploratory Data Analysis, 2. Fundamentals of Statistical Inference and Hypothesis Testing, 3. Comparing Group Means - t-Tests and ANOVA, 4. Correlation and Simple Linear Regression, 5. Multiple Linear Regression and Model Building, 6. Logistic Regression and Generalized Linear Models, 7. Non-Parametric and Robust Statistical Methods, 8. Exploratory Factor Analysis and Principal Component Analysis, 9. Confirmatory Factor Analysis and Structural Equation Modeling, 10. Conclusion, 11. References
