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Bryant, Fred B.; Satorra, Albert – Structural Equation Modeling: A Multidisciplinary Journal, 2012
We highlight critical conceptual and statistical issues and how to resolve them in conducting Satorra-Bentler (SB) scaled difference chi-square tests. Concerning the original (Satorra & Bentler, 2001) and new (Satorra & Bentler, 2010) scaled difference tests, a fundamental difference exists in how to compute properly a model's scaling correction…
Descriptors: Statistical Analysis, Structural Equation Models, Goodness of Fit, Least Squares Statistics
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Henseler, Jorg; Chin, Wynne W. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
In social and business sciences, the importance of the analysis of interaction effects between manifest as well as latent variables steadily increases. Researchers using partial least squares (PLS) to analyze interaction effects between latent variables need an overview of the available approaches as well as their suitability. This article…
Descriptors: Interaction, Least Squares Statistics, Computation, Prediction
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Zhang, Zhiyong; Hamaker, Ellen L.; Nesselroade, John R. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Four methods for estimating a dynamic factor model, the direct autoregressive factor score (DAFS) model, are evaluated and compared. The first method estimates the DAFS model using a Kalman filter algorithm based on its state space model representation. The second one employs the maximum likelihood estimation method based on the construction of a…
Descriptors: Structural Equation Models, Simulation, Computer Software, Least Squares Statistics
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Fox, John – Structural Equation Modeling: A Multidisciplinary Journal, 2006
R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit…
Descriptors: Structural Equation Models, Computer Software, Least Squares Statistics, Programming Languages