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The General Linear Model as Structural Equation Modeling

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  • James M. Graham

Abstract

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.

Suggested Citation

  • James M. Graham, 2008. "The General Linear Model as Structural Equation Modeling," Journal of Educational and Behavioral Statistics, , vol. 33(4), pages 485-506, December.
    • Handle: RePEc:sae:jedbes:v:33:y:2008:i:4:p:485-506
    DOI: 10.3102/1076998607306151
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    Cited by:

    1. Erik Šoltés & Silvia Zelinová & Mária Bilíková, 2019. "General Linear Model: An Effective Tool For Analysis Of Claim Severity In Motor Third Party Liability Insurance," Statistics in Transition New Series, Polish Statistical Association, vol. 20(4), pages 13-31, December.
    2. Šoltés Erik & Zelinová Silvia & Bilíková Mária, 2019. "General Linear Model: An Effective Tool For Analysis Of Claim Severity In Motor Third Party Liability Insurance," Statistics in Transition New Series, Polish Statistical Association, vol. 20(4), pages 13-31, December.
    3. Violeta Jovanović & Sunčica Stanković & Vesna Krstić, 2023. "Environmental, Social and Economic Sustainability in Mining Companies as a Result of the Interaction between Knowledge Management and Green Innovation—The SEM Approach," Sustainability, MDPI, vol. 15(16), pages 1-15, August.

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