This course is discontinued

UV9251 – Two-level structural equation modeling (SEM)

Course content

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.

Learning outcome

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.

Admission

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

Prerequisites

Recommended previous knowledge

The course requires some knowledge of SEM.

Teaching

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

Examination

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
course.

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

Facts about this course

Credits

3

Level

PhD

Teaching

On demand.

Examination

In connection with a teaching semester.

Teaching language

Norwegian (English on request)