Structural Equation Modeling Using Stata

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Date(s) - 08/16/2018 - 08/17/2018
12:00 am

Hotel Birger Jarl


Structural Equation Modeling Using Stata, Taught by Dr. Paul Allison
August 16-17, Stockholm, Sweden

Structural Equation Modeling (SEM) is a statistical methodology that is widely used by researchers in the social, behavioral and educational sciences.  First introduced in the 1970s, SEM is a marriage of psychometrics and econometrics. On the psychometric side, SEM allows for latent variables with multiple indicators. On the econometric side, SEM allows for multiple equations, possibly with feedback loops. In today’s SEM software, the models are so general that they encompass most of the statistical methods that are currently used in the social and behavioral sciences. Because SEM is such a complex and wide-ranging methodology, learning how to use it can take a substantial investment of time and effort. Now, you have the opportunity to learn the basics of SEM from a master teacher, Professor Paul D. Allison, in just two days.

Here Are a Few Things You Can Do With Structural Equation Modeling:

  • Test the implications of causal theories.
  • Estimate simultaneous equations with reciprocal effects.
  • Incorporate latent variables with multiple indicators.
  • Investigate mediation and moderation in a systematic way.
  • Handle missing data by maximum likelihood (better than
    multiple imputation).

This course is designed for researchers with a moderate statistical background who want to apply SEM methods in their own research projects. No previous background in SEM is necessary.

The course is jointly sponsored with Metrika; In order to register click HERE. There is a course fee of 870 USD for students and academics and 1450 USD for non academics. For more information on the course click HERE.

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