The General Linear Model as Structural Equation Modeling

نویسنده

  • James M. Graham
چکیده

Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and practically. The use of structural equation modeling path diagrams as tools for teaching the GLM as a body of connected statistical procedures is presented. A heuristic data set is used to demonstrate a variety of univariate and multivariate statistics as structural models. Implications for analytic strategies and education are discussed.

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تاریخ انتشار 2007