PSY9140 – Structural Equation Modelling

Schedule, syllabus and examination date

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Course content

Structural equation modeling (SEM) is a flexible multivariate statistical approach that has become increasingly popular in psychological research.

The course will include lectures and practical exercises in specifying, estimating and testing basic SEM models by means of lavaan, a package in the statistical program R. We will also to a lesser degree provide an introduction to Mplus. The course introduces methodologies in analyzing latent variables.  

Learning outcome


  • Path models
  • Model specification and evaluation
  • "The latent variable paradigm"
  • Measurement models and confirmatory factor analysis
  • Structural regression models
  • Longitudinal models, including growth curve modeling
  • Multi-group analysis
  • Handling of missing data in SEM


Formulate basic SEM models and implement them using structural equation software.

Evaluate a model, and be able to respecify it if necessary.



This is an elective course in the PhD-programme in psychology. Candidates from PhD-programmes at other institutions are welcome to apply to the course.

The course for fall 2021 is fully booked. 


Formal prerequisite knowledge

Enrollment in a PhD-programme.


Please consult the semester page for time Schedule.



General literature on SEM:

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: Guilford.


Rosseel, Y. (2019). The lavaan tutorial. Ghent University, Belgium. Available at

Bauer, D.J. & Curran, P.J. (2019). Structural equation modeling: R demonstration notes. Curran‐Bauer Analytics, Durham: NC. Available at


Muthén, L.K. and Muthén, B.O. (2017). Mplus User’s Guide. Eighth Edition. Los Angeles, CA: Muthén & Muthén. Available at



You will earn 2,5 credit points for participating in the class included required exercises (PSY9140).

You will earn additional 2,5 credit points for submitting an acceptable paper with reference to the course topics (PSY9140P). 

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Explanations and appeals


If you need confirmation on passing this course, you must do this through studentweb and use the description on this web page for information. We do not give out course confirmations in other ways.

Facts about this course






Every autumn


Every autumn

Teaching language

Norwegian (English on request)