Robust Regression Estimates in the Prediction of Latent Variables in Structural Equation Models
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May 1, 2012
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Marcelo Angelo Cirillo
Federal University of Lavras, Brazil
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.
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