: A practical application found on ScienceDirect uses proportional and partial proportional odds models to classify household energy usage, providing a clear roadmap for reporting results.

: This article on PMC demonstrates using ordinal logistic regression to determine household socioeconomic factors, explicitly recommending the use of partial proportional odds models (PPOM) when covariates violate proportionality. Quick Reference Guides

: For cases where the proportional odds assumption is violated, the seminal paper on the gologit2 command by Richard Williams (2006) is the industry standard for learning how to fit partial proportional odds models in Stata. Applied Research Examples