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.
Price: $1,295 Enroll now
We offer a 15% discount for group enrollments of three or more participants.
Knowledge of basic statistical techniques such as correlation and linear regression.
|Structural Equation Modeling Using Stata||September 21–22, 2017||Washington, DC||$1,295||Enroll|
Do you want to be notified of all upcoming training opportunities? Sign up for our convenient email alerts.
Enrollment is limited. This course is offered in both classroom and web-based settings.
Classroom training courses are two-day courses that run from 8:30 a.m. to 4:30 p.m. each day. These courses take place at a training center where computers with Stata installed are provided. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.
Web-based training courses are four-day courses that run for three and a half hours each day. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all of the course datasets so that you can easily follow along. Learn more about how our web-based training courses work, watch a video demonstration, and find technical requirements for participating in this type of training.