Structural Equation Models
Syllabus, Master's level, 2ST114
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Statistics A1N
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Department Board, 14 October 2022
- Responsible department
- Department of Statistics
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.
A student who has gone the course should
- have a basic theoretical and practical understanding of Structural Equation Models (SEM)
- be able to apply SEM on real problems
- have ability to interpret and present the results.
- be able to estimate structural equation models with maximum likelihood and least squares and be able to evaluate the results.
The course deals with the logical and the statistical theory of SEM. The practical use of models and methods as a research aid within the social and behavioural disciplines. 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 ordinal data. Robust estimation methods.
Lectures and computer exercises.
The examination takes place in the form of a written exam, assignments and presentation of scientific articles.
"If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator."