Robust Regression Estimates in the Prediction of Latent Variables in Structural Equation Models

Authors

Marcelo Angelo Cirillo, Federal University of Lavras, BrazilFollow
Lúcia Pereira Barroso, University of São Paulo, Brazil

Abstract

The incorporation of the robust regression methods Least Median Square (LMS) and Least Trimmed Squares (LTS) is proposed in structural equation modeling. Results show that, in situations of high deviations of symmetry, the evaluated methods would be recommended for applications including smaller sample sizes.

DOI

10.22237/jmasm/1335844980