Structural Equation Models
Syllabus, Master's level, 2ST114
- Code
- 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, 4 February 2011
- Responsible department
- Department of Statistics
Entry requirements
Undergraduate degree of at least 180 credits of which at least 90 credits in statistics.
Learning outcomes
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 least squares and be able to evaluate the results.
Content
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.
Instruction
Lectures and computer exercises.
Assessment
The examination takes place in the form of a written exam and application assignments