Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

introduction to basic concepts, principles, and applications of structural equation modeling including path analysis, confirmatory latent variable models, multiple-group modeling, and latent growth ...

This course is an introduction to structural equation modeling (SEM). SEM represents a general approach to the statistical examination of the fit of a theoretical model to empirical data. Topics ...

Structural equation modeling techniques and associated computer programs are now widely available for use in the social and behavioral sciences. However, most reported applications are limited to ...

This half-hour talk describes the specification of the ACE model that is widely used in human behavioral genetic studies. It considers how a model where a, c and e path coefficients are estimated ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...