Introducing ResIN: An Applied Tutorial to the Response-Item-Networks Package for R
Abstract
We introduce ResIN, a package for the R programming language designed to estimate, visualize, and analyze Response-Item Networks (ResIN ). ResIN is an increasingly popular method for modeling complex socio-political attitude systems as sparse, spatially interpretable networks. The package simplifies and unifies the underlying workflow while offering a range of convenience features, including network plotting, community detection, psychometric score extraction, bootstrap-based uncertainty estimation, and the export of ResIN objects to other statistical software environments. We provide an overview of the ResIN method, its computational implementation in R, and demonstrate the utility of key package features through an applied replication tutorial based on a recent study by Lüders et al., 2024
Philip Warncke
Post-doctoral fellow in Political Psychology
Philip is a comparative political psychologist and methodologist studying mass belief systems, particularly how to measure and compare them, as well as their consequences for political outcomes.