Regression analysis in educational research

Third-cycle level | 7.5 credits | Course code: QRM1802
VT 2021
Study period: 2021-04-12 - 2021-06-24
LANGUAGE OF INSTRUCTION: The course is given in Swedish but can be given in English if necessary
Application period: 2020-10-01 - 2021-02-15

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. For more information, please visit the course website: or to further explore QRM course offerings.   

The course introduces basic principles and techniques of regression analysis as used in educational and social research. These techniques aim to further investigate relationships between variables and groups. Depending on the research design, these techniques can be used to examine causal relationships between a set of explanatory variables and an outcome variable, and at predicting the outcome with the explanatory variables. Theoretical foundations and practical applications of these regression analyses will be introduced with examples from the educational sciences. The course focuses on two different types of regression models, namely, linear regression analysis in which the dependent variable is continuous, and logistic regression analysis where the dependent variable is binary. Thereafter, the different concepts, techniques and procedures in the regression analytical process, such as, theoretical motivation, model specification, data inspection and variable transformation, estimation, hypothesis and assumption testing, and model evaluation and interpretation, will be described and practiced. How to report model results according to publication standards will also be emphasized.

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 course QRM1800 "Basic statistics for educational research, 7,5 credits", or similar.



This is a third-cycle course within the school of Quantitative Research Methods in Education (QRM). Both doctoral students and university lecturers with a PhD.

The number of participants is limited to 15. Priority will be given to doctoral students with an educational sciences focus, secondly supervisors for doctoral students with a focus on educational science research and thirdly doctoral students and researchers from other fields with an interest in quantitative designs and analyses.

The course is open to Swedish and international participants.

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

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

Course syllabus


Reading and reference list

Reading and reference list for the course


Department of Education and Special Education

CONTACTMonica Rosén