Open AccessComparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective
Author(s) -
AbdulRashid AbdulAziz,
Albert Luguterah,
Bashiru I. I. Saeed
Publication year - 2021
Publication title -
international journal of statistics and probability
Language(s) - English
Resource type - Journals
eISSN - 1927-7040
pISSN - 1927-7032
DOI - 10.5539/ijsp.v10n2p137
Subject(s) - estimator , residual , maximization , mathematics , structural equation modeling , regression analysis , regression , statistics , estimation , econometrics , perspective (graphical) , mathematical optimization , algorithm , economics , management , geometry
As the concept of methodology has advanced, varied methods of estimating residuals have been developed including regression method, Bartlett’s method and Anderson-Rubin’s method. The study utilized estimation maximization approach together with other methods of estimating residuals under the structural equation model. The results showed that the strength of the existing methods in structural equation modelling are the weaknesses of the estimation maximization method, and vice versa. It was, therefore, found that from the comparative model fit information that the Bartlett’s based method gave better residual parameter estimates compared to the Regression based and the Anderson Rubin based methods. However, the estimation maximization method gave better residual parameter estimates than the other three existing methods; the Regression, Bartlett’s and the Anderson Rubin based methods.