Statistical estimation of structural equation models with a mixture of continuous and categorical observed variables

• Published in: Behavior research methods Vol. 53; no. 5; pp. 2191 - 2213
• Main Author: Li, Cheng-Hsien
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2021; Springer Nature B.V
• Subjects: Asymmetry; Behavioral Science and Psychology; Chi-square test; Cognitive Psychology; Mathematical models; Monte Carlo simulation; Psychology; Statistical analysis; Structural equation modeling; Robust statistics; Maximum likelihood; Mixed scale types; Monte Carlo; Diagonally weighted least squares

In the social and behavioral sciences, observed variables of mixed scale types (i.e., both continuous and categorical observed variables) have long been included in structural equation models. However, little is known about the impact of mixed continuous and categorical observed variables on the per...