Ordinal Factor Analysis with Robust Estimation and Predictive Models
Ordinal survey indicators are common in behavioral and social science research. Still, they violate continuous normal assumptions when category spacing is unequal, response distributions are skewed, or categories are sparse. This study evaluates a practical workflow for ordinal factor analysis that combines robust conf...