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Structural Equation Modeling Using Stata

July 20 : 18:00 - July 23 : 22:00 CEST

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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.

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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
    • Building models using the GUI for SEM
    • Using the ssd commands to work with summary statistics
  • Details on specific types of structural equation models
    • Models for observed variables
      • Linear regression
      • Correlation
      • Path analysis
      • Mediation analysis
    • Models with latent and observed variables
      • Confirmatory factor analysis
      • Full structural equation models
      • Latent growth curves
    • Multiple group models
  • Testing and interpreting linear SEM results
    • Standardized results
    • Direct, indirect, and total effects
    • Goodness-of-fit statistics
    • Modification indices
    • Score tests and Wald tests
    • Tests for multiple group models
  • Overview of generalized structural equation modeling and the gsem command
    • Fitting multilevel models
    • Fitting models with binary, ordered, count, and categorical outcomes


  • Knowledge of basic statistical techniques such as correlation and linear regression.

Dates and Time

  • July 20-23, 2021
  • 18:00 – 22:00 CET (6 – 10 PM CET) (5 – 9 PM UK/GMT)

Click here to Enroll


July 20 : 18:00 CEST
July 23 : 22:00 CEST
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StataCorp LLC
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Event Conditions

Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!