Analysis of longitudinal data in educational research

Third-cycle level | 7.5 credits | Course code: QRM1808
VT 2024
Study period: 2024-03-21 - 2024-06-02
LANGUAGE OF INSTRUCTION: The course is given in English
Application period: 2023-10-01 - 2024-02-15

Course description

The course runs part-time and uses a blended learning format, combining a few campus days with the major part of the course online.

Requirements and Selection

Entry requirements

For admission to the course, the applicant has to be a registered 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 courses QRM1802 Regression analysis for educational Research and QRM 1806 Structural equation modelling for educational research.


The number of participants is limited to 15. Priority will be given to doctoral students within theeducational sciences if the number of applicants for the course exceeds 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 and Department of Education, Uppsala University.

Other information

In order to participate in the course, access to a computer/laptop is needed, along withequipment for online communication (webcam and a headset), and the SPSS and Mplussoftware (or another SEM program).

You need to confirm in your motivation that you fulfil the course requirements.  

If you are applying as a post-doc, you still need to use the application form as if you were a doctoral student. Please state in your motivation if you are a post-doc.

Link to website

Course syllabus


Reading and reference list

Reading and reference list for the course


Department of Education and Special Education


Educational Science

Type of course

Method course

Research School/Graduate School

QRM - Quantitative Research Methods in Education


kvantitativa forskningsmetoder, pedagogik, utbildningsvetenskap, Quantiative research methods, education , educational research

CONTACTMonica Rosén