Quantitative Methods of Research in Digital Landscape

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 modelling and factor analysis, with a clear focus on transparency and responsible inference. Key features include:· A structured pathway from statistical foundations to advanced quantitative techniques used across digital social research. · Practical guidance on modelling and inference, including linear and logistic regression, multivariate methods, and factor analysis. · Coverage of common pitfalls in interpretation and reporting, including p-values, uncertainty, and claims that overreach the evidence. · An open science and reproducibility lens, with emphasis on clear documentation of data preparation and analytic choices. · A platform-neutral approach that supports readers working across software packages and codin