Course - Introduction to Structural Equation Modeling - PSY8006
PSY8006 - Introduction to Structural Equation Modeling
About
Examination arrangement
Examination arrangement: Assignment
Grade: Passed/Failed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Oppgave | 100/100 |
Course content
The course introduces students to structural equation modeling (also referred to as latent variable modeling). Using the traditional regression analysis as a basis, the course goes through the most common analytical approaches used in the domain of structural equation modeling (SEM). The course first treats the subjects of specification and estimation of standard confirmatory factor models as well as full SEM models. Subsequently, the course goes on with more advanced SEM techniques such as multi-group, higher-order confirmatory factor, multilevel, and growth modeling. The main software to be used are STATA/Mplus.
Learning outcome
Knowledge:
Students have theoretical knowledge about the rationale and statistical assumptions for estimating SEM models as well as interpretation and communication of SEM-results in a scientific format.
Skills:
Students can on their own manage the course software (STATA/Mplus) to employ the analytical approaches listed in the course content.
Competence:
Students have obtained theoretical/practical competence and accordingly can apply SEM to various research problems and associated research instruments.
Learning methods and activities
Lectures and lab exercises. The course requires a minimum of five registered PhD candidates to be held. The course consists of 30 hours and is arranged over a period of five days.
Compulsory assignments
- Participation in lectures and lab exercises
Recommended previous knowledge
Basic knowledge of multiple regression and/or factor analysis is recommended. Furthermore, experience with statistical software such as STATA, Mplus etc. may be useful.
Required previous knowledge
Completed Master's degree or similar. Candidates admitted to a PhD programme have priority.
Course materials
The recommended literature will be sent to the participants before the course starts.
No
Version: 1
Credits:
10.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2017
Language of instruction: English, Norwegian
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- Psychology
- Mehmet Mehmetoglu
- Christian Kløckner
- Mehmet Mehmetoglu
Department with academic responsibility
Department of Psychology
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Oppgave 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"