|Duration:||1 hour 15 minutes|
|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
With structural equation models, you can analyze the relationship between an unobserved latent concept, such as depression, and the observed variables that measure it. You can estimate mediation effects. And, you can model a system with many endogenous variables and correlated errors.
Join us for an introduction to SEM in Stata. In this webinar, you will learn about Stata's sem and gsem commands. You will see how they can be used to fit some common models, such as confirmatory factor models and regression models, and how they can fit models with both latent variables and structural components. We will discuss SEM for continuous, categorical, ordinal, count, and other outcomes. We will work examples of multilevel and multigroup SEMs. You will also learn about tools for evaluating model fit.
The webinar is free, but you must register to attend. Registrations are limited, so register soon. Register by clicking the desired date of your course above.
We will send you an email prior to the start of the course with instructions on how to access the webinar. You will need access to Adobe Connect to attend.
Rose Medeiros was previously a Senior Statistician at StataCorp LLC, where she conducted trainings and worked on the development of Stata. She is now a Senior Biostatistician at Corrona, LLC. Rose has been a Stata user since 2000. She has a PhD in sociology and has a particular interest in missing data and mixed models.