Structural equation modeling using Stata

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Structural equation modeling using Stata

Description

This course introduces structural equation modeling and its implementation in Stata. 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, starting with linear regression up to confirmatory factor analysis and growth curve modeling. Model identification and evaluation will also be extensively discussed. The course concludes with a brief introduction to multilevel models and generalized linear models within the SEM framework.

Price: $1,395

We offer a 15% discount for group enrollments of three or more participants.

Course leader

Meghan Cain is the Assistant Director, Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.

Course topics

Overview of linear structural equation modeling
- Model description
- Process of fitting and evaluating structural equation models
- Description of path diagrams
Stata’s tools for SEM
- Fitting models with the sem command
- Fitting models with the SEM Builder by drawing path diagrams
- Using the ssd commands to work with summary statistics
Details on specific types of structural equation models
- Models with observed variables
  - Linear regression
  - Path analysis
  - Mediation analysis
- Models with latent and observed variables
  - Confirmatory factor analysis
  - Full structural equation models
  - Latent growth curves
- Models with multiple groups
Testing and interpreting linear SEM results

Standardized results
Direct, indirect, and total effects
Goodness-of-fit statistics
Modification indices
Model comparison

Overview of generalized structural equation modeling and the gsem command

Fitting multilevel models
Fitting models with binary, ordered, count, and categorical outcomes

Report results from a structural equation modeling analysis

Prerequisite

A general familiarity with Stata and a graduate-level course in regression analysis or comparable experience.

Next session

Currently, there are no scheduled sessions of this course.

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Notes

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 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.

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