Syllabus for Structural Equation Models
Strukturella ekvationsmodeller
Syllabus
- 7.5 credits
- Course code: 2ST114
- Education cycle: Second cycle
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Main field(s) of study and in-depth level:
Statistics A1N
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
First cycle
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
Second cycle
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2011-02-04
- Established by:
- Revised: 2022-10-14
- Revised by: The Department Board
- Applies from: Autumn 2023
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Entry requirements:
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.
- Responsible department: Department of 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 and 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, 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."
Syllabus Revisions
Reading list
Reading list
Applies from: Autumn 2023
Some titles may be available electronically through the University library.
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Jöreskog, Karl G.;
Olsson, Ulf H.;
Y. Wallentin, Fan.
Multivariate Analysis with LISREL
Cham: Springer International Publishing, 2016
Mandatory