Structural Equation Models with Categorical Indicators and Outcomes
Abstract
Chapter 7 covers models with categorical endogenous variables. It examines the consequences of treating such variables as continuous and how to modify SEMs to take account of categorical variables. It begins with single equation regression-like models for binary, ordinal, and count variables and builds to multiequation models. It includes a polychoric correlation approach, models with exogenous observed variables, the treatment of missing values, and alternative modeling approaches for categorical variables.
Fields of Study & Subjects
Psychometric Methodologies and Testing
Statistical Methods and Bayesian Inference
Statistical Methods and Applications
Publication details
- Journal / source
- Cambridge University Press eBooks
- Pages
- 500–589
- Publication date
- 5 February 2026
- Document type
- Book chapter