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

A. Abdul-Aziz, A. Luguterah, Bashiru I. I. Saeed
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Abstract

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.
残差估计最大化的比较性能:结构方程建模的视角
随着方法论概念的发展,各种残差估计方法也得到了发展,包括回归法、Bartlett法和Anderson-Rubin法。该研究将估计最大化方法与其他估计结构方程模型下残差的方法结合起来。结果表明,现有结构方程建模方法的优点是估计最大化方法的缺点,反之亦然。因此,从比较模型拟合信息中发现,与基于回归和Anderson-Rubin的方法相比,基于Bartlett的方法给出了更好的残差参数估计。然而,估计最大化方法比其他三种现有方法给出了更好的残差参数估计;回归、Bartlett和Anderson-Rubin的方法。
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