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Generalized structural equation models: GLMs, multilevel, latent classes, and more

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  • Kristin MacDonald

    (StataCorp)

Abstract

Stata’s gsem command fits generalized structural equation models. This generalization allows users to fit structural equation models with continuous, binary, ordinal, categorical, count, and survival-time outcomes. Users can also fit models with continuous or categorical latent variables. Multilevel models are also supported. In this presentation, I will demonstrate a wide variety of models that can be fit with gsem, from multilevel confirmatory factor models to latent class models. Along the way, participants will see both typical SEM applications and unique models that can be fit in the generalized SEM framework.

Suggested Citation

  • Kristin MacDonald, "undated". "Generalized structural equation models: GLMs, multilevel, latent classes, and more," Italian Stata Conference 2026 06, Stata Users Group.
    • Handle: RePEc:boc:ital26:06
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