Some Aspects on Confirmatory Factor Analysis of Ordinal Variables

Focusing on confirmatory factor analysis of ordinal variables, this thesis presents five papers that delve into various methodologies and applications. The first two papers evaluate estimation methods and polychoric correlation estimators for ordinal data. The third paper introduces the concept of simultaneous factor analysis. The final two papers transition to generating non-normal data, with the fourth assessing Fleishman's power method across different conditions, and the last extending the analysis to multivariate non-normal data generation.