UV9251 – Two-level structural equation modeling (SEM)
Latent variables occupy a central position in structural equation modeling (SEM). Latent variables enables handling of measurement errors in observed variables, and often these latent variables correspond to theoretical constructs. Both latent and observed variables may exist at various observational levels, as for example classroom and individual students within classrooms.
Two-level SEM enables creating models that identify different latent variables at different observational levels. Two-level SEM thereby separates sources of variances that are conceptual distinct.
The aim of the course is to introduce the basic principles of two-level SEM, focusing on confirmatory factor analysis, and to show and to discuss use of this type of analysis of two-level data.
Ph.d.-students at The Faculty of Education will be given priority, but it is also possible for other Ph.d.-students to apply.
Ph.d.-students from the University of Oslo apply through Studentweb
Others apply through this application form
Registration deadline: September 15th 2013
Recommended previous knowledge
The course requires some knowledge of SEM.
Dates: September 26-27, 2013
Location: 236, Helga Engs hus
Time: 09.00-16.00 both days
Duration: 12 hours
Course leader: Professor Jan-Eric Gustafsson
To obtain 1 study point 80% attendance in the lectures is required.
To obtain 3 study points a short paper needs to be submitted after the
Grades are awarded on a pass/fail scale. Read more about the grading system.