Introduction to Structural Equation Models

7.5 Credits
Third Cycle
School of Technology and Business Studies
Subject field
Microdata Analysis (MIKRODAT)
Approved, 17 June 2020.
This syllabus is valid from 17 June 2020.

Learning Outcomes

Upon completion of the course, the doctoral student will be able to:

  • explain the basic theoretical foundation and practical use of Structural Equation Models (SEM)
  • apply SEM on real problems
  • interpret and present the results
  • estimate structural equation models with maximum likelihood and least squares and be able to evaluate the results.

Course Content

The course deals with the logical and statistical theory of Structural Equation Models. Emphasis is, however, on the practical use of models and methods in applied research. The course covers modern statistical aspects on regression analysis, exploration and confirmative factor analysis, and general structural equations with and without latent variables for one or more groups.
The course deals with estimation methods for Structural Equation Models based on various types of data: normal distributed and ordinal data.


The assessment takes place in the form of a written exam and application assignments

Forms of Study

Lectures and computer exercises


The Swedish grades U–G.


  • General entry requirements for postgraduate studies.

Other Information

Participants are expected to have an ongoing or planned research project. Participants are expected to have a sound working knowledge of the most basic principles of statistical inference (e.g., standard errors, hypothesis tests, confidence intervals), and should preferably have a basic understanding of linear regression theory.
The course will be given in English.
Doctoral students who have not been admitted to a doctoral programme at Dalarna University are admitted to the course depending on space availability