Term: Structural Equation Modeling (SEM)
Last Updated: 2012-05-16
Sometimes known as simultaneous equation modeling or analysis of covariance structures, it is a statistical technique for modeling complex relationships among variables. Some of the variables in SEM can be unobserved (latent). A response variable in one regression equation in an SEM can appear as a predictor in another equation. Indeed variables in SEM may influence one another either directly or through other variables as intermediaries.
For more information on SEM methods, please read the section titled
Factors Associated With Outcomes
in the
How Are Manitoba's Children Doing?
deliverable by MCHP.