This 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 provides an overview of fitting linear structural equation models and evaluating the model fit. In addition, a number of models that fall within the linear SEM framework will be discussed with an emphasis on using Stata to fit each one. The course concludes with a brief introduction to multilevel models and generalized-linear models within the SEM framework.
Stata allows for fitting structural equation models in two ways—by using the command syntax or using the SEM Builder to draw path diagrams. Examples will demonstrate both approaches.
We offer a 15% discount for group enrollments of three or more participants.
Knowledge of basic statistical techniques such as correlation and linear regression.
Currently, there are no scheduled sessions of this course.
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Enrollment is limited. Computers with Stata installed are provided at all public training sessions. All training courses run from 8:30 a.m. to 4:30 p.m. each day. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.