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Description
This two-day course covers the use of Stata for structural equation modeling (SEM). SEM is a class of statistical techniques for modeling relationships among variables, both observed and unobserved. SEM encompasses some familiar models such as linear regression, multivariate regression, and factor analysis and extends to a variety of more complicated models. The course will give an introduction to linear structural equation modeling. In addition, a number of models that fall within the SEM framework will be discussed with an emphasis on using Stata to fit each one. Stata allows for fitting structural equation models in two ways—by using the sem command syntax or using the SEM builder to draw path diagrams. Examples will demonstrate both approaches.
Course topics
Prerequisite
Knowledge of basic statistical techniques such as correlation and linear regression.
Notes
This is a two-day course. All training courses generally run for eight hours per day and include morning and afternoon breaks and a lunch break. You can arrange a convenient schedule with your instructor and training coordinator.
