How to Measure Agreement, Consensus, and Polarization in Ordinal Data

A new working paper with Clem Aeppli on SocArXiv. We look at different measures to capture agreement, consensus, polarization, whatever you want to call it — in ordinal data. Using simulations and an empirical example, we show commonalities and differences between measures. The paper ends with recommendations for researchers wanting to measure consensus, agreement — whatever — in ordinal data.

Aeppli, Clem, and Didier Ruedin. 2022. ‘How to Measure Agreement, Consensus, and Polarization in Ordinal Data’. SocArXiv. https://doi.org/10.31235/osf.io/syzbr.

Ruedin, Didier. 2022. ‘Agrmt: Agreement A’. R. CRAN. http://agrmt.r-forge.r-project.org/.