Structural equation modelling in educational research

Third-cycle level | 7.5 credits | Course code: QRM1806
VT 2021
Study period: 2021-01-18 - 2021-04-09
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2020-10-01 - 2020-11-15
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Course description

Structural equation modeling (SEM) is a statistical analysis technology that has been widely spread for the last few decades in many social and behavioral research fields. SEM can be described as a further development of multiple regression analysis that allows analysis of both directly observable variables and latent, non-observable variables. With this technique it is possible to solve measurement problems with the help of confirmatory factor analysis, and structural relationship models make it possible to construct models where variables can be both independent and dependent variables. The course aims at giving participants insights into the basic principles of SEM, as well as the ability to specify, estimate and evaluate basic types of models. The course has a practical and applied perspective, and the use of the Mplus software is an important part of the course content.

Requirements and Selection

Entry requirements

For admission to the course, the applicant has to be registered as a doctoral student in the third cycle or have a doctoral degree. The applicant should also have documented prior knowledge corresponding to the learning goals in the basic level QRM1800 course “Basic statistics for educational research, 7,5 credits” and the QRM1802 course “Regression analysis for educational research 7,5 credits”, or similar.

Selection

This is a third-cycle course and a specialised course within the national school of Quantitative Research Methods in education (QRM) for researchers. More information about QRM is available at qrm.gu.se. Both doctoral students and post doctoral fellows are welcome.  

Collaborating departments

Department of Education and Special Education, University of Gothenburg in collaboration with Department of Applied Educational Science, Umeå University.

Technical equipment

In order to participate in the course, access to own computer / laptop is needed together with computer accessories for online communication which includes camera and a headset with headphones and mic, and the required statistical software (see list of literature).

Participant limitation and priority

The number of participants is limited to 15. Priority will be given to doctoral students within the Educational sciences if the number of applicants for the course is exceeding the number of places.

Educational partnership

Collaborating departments

Department of Education and Special Education, University of Gothenburg in collaboration with Department of Applied Educational Science, Umeå University.

Other information

Please apply to this course at QRM's website: https://qrm.gu.se/english/courses/QRM1806

Course syllabus

QRM1806

Reading and reference list

Reading and reference list for the course

Department

Department of Education and Special Education

CONTACTMonica Rosén

monica.rosen@ped.gu.se