Abstract

This paper provides a comprehensive review of the conceptual foundations and methodological approaches to 
measuring polarization across disciplines. It highlights the multiplicity of definitions associated with polarization, 
ranging from political and social divergence to economic inequality, and underscores how these varying 
interpretations shape measurement strategies. The study distinguishes between scalar and vector perspectives, as 
well as multidimensional and latent frameworks, emphasizing the complexity of capturing polarization as both a 
static distribution and a dynamic process. It further examines key methodological approaches, including classical 
indices, entropy-based measures, latent variable models, and network-based techniques, while addressing 
challenges related to data quality, comparability, and robustness. By synthesizing insights from diverse fields, the 
paper identifies critical gaps in standardization and conceptual clarity, and it explores the implications of 
measurement choices for empirical research and policy analysis. Ultimately, the review advances a more integrated 
understanding of polarization measurement and offers guidance for selecting appropriate tools in varying 
analytical contexts.