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Direct linkJackman, M. Grace-Anne; Leite, Walter L.; Cochrane, David J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This Monte Carlo simulation study investigated methods of forming product indicators for the unconstrained approach for latent variable interaction estimation when the exogenous factors are measured by large and unequal numbers of indicators. Product indicators were created based on multiplying parcels of the larger scale by indicators of the…
Descriptors: Computation, Statistical Data, Structural Equation Models, Statistical Analysis
Dolan, Conor; van der Sluis, Sophie; Grasman, Raoul – Structural Equation Modeling: A Multidisciplinary Journal, 2005
We consider power calculation in structural equation modeling with data missing completely at random (MCAR). Muth?n and Muth?n (2002) recently demonstrated how power calculations with data MCAR can be carried out by means of a Monte Carlo study. Here we show that the method of Satorra and Saris (1985), which is based on the nonnull distribution of…
Descriptors: Computation, Monte Carlo Methods, Structural Equation Models, Statistical Analysis
