Structural Equation Modeling with Stata (Berkeley, CA)
- Kristin MacDonald, Stata Corporation
This workshop 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 workshop will give an introduction to 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 graphical user interface to draw path diagrams. Examples will demonstrate both approaches. Knowledge of basic statistical techniques such as correlation and linear regression is recommended.
Fee: Members = $1300; Non-members = $2600
Location: University of California, Berkeley -- Berkeley, CA
Date(s): August 12 - August 14
Time: 9:00 AM - 5:00 PM