Maintenance and Reformation of News Repertoires: A Latent Transition Analysis

Published article. Presented at the ICA Annual Conference, 2021.

The article’s analytical strategy combines latent class identification, transition modeling, and mover/stayer analysis with conditional estimation of repertoire membership on covariates, allowing the study to show not only which news repertoires exist and how stable they are, but also what predicts belonging to and remaining within them.