Comparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective Article Swipe

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Abdul Aziz , Albert Luguterah , Bashiru I. I. Saeed ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.5539/ijsp.v10n2p137

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.

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Expectation–Maximization Algorithm

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Estimator Residual Maximization Mathematics Structural equation modeling Regression analysis Regression Statistics Estimation Econometrics Perspective (graphical) Applied mathematics Mathematical optimization Algorithm Economics Management Geometry

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Type: article
Language: en
Landing Page: https://doi.org/10.5539/ijsp.v10n2p137
PDF: https://ccsenet.org/journal/index.php/ijsp/article/download/0/0/44815/47399
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References: 33
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DOI: https://doi.org/10.5539/ijsp.v10n2p137

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Title: Comparative Performance of Estimation Maximization Among Residual Estimators: A Structural Equation Modelling Perspective

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Language: en

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Publication year: 2021

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Publication date: 2021-02-25

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Authors: Abdul Aziz, Albert Luguterah, Bashiru I. I. Saeed

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Landing page: https://doi.org/10.5539/ijsp.v10n2p137

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Concepts: Estimator, Residual, Maximization, Mathematics, Structural equation modeling, Regression analysis, Regression, Statistics, Estimation, Econometrics, Perspective (graphical), Applied mathematics, Mathematical optimization, Algorithm, Economics, Management, Geometry

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