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.
- Santos R, Brownell M, Ekuma O, Mayer T, Soodeen R-A. The Early Development Instrument (EDI) in Manitoba: Linking Socioeconomic Adversity and Biological Vulnerability at Birth to Children's Outcomes at Age 5. Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Report] [Summary] (View)
- Brownell M, Chartier M, Santos R, Ekuma O, Au W, Sarkar J, MacWilliam L, Burland E, Koseva I, Guenette W. How are Manitoba's Children Doing? Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Report] [Summary] [Updates and Errata] [Additional Materials] (View)
Manitoba Centre for Health Policy
Community Health Sciences, Max Rady College of Medicine,
Rady Faculty of Health Sciences,
Room 408-727 McDermot Ave.
University of Manitoba
Winnipeg, MB R3E 3P5 Canada