Linear mixed modeling of treatment/intervention studies



Norwegian or English


On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:


Knowledge about main analytical approaches to treatment/intervention studies with repeated measurements including random effects models, covariance structure models

Knowledge about the application of linear mixed models in current research

Knowledge about data assumptions, and diagnostic criteria for evaluating of model assumptions

Knowledge about ways to express effect size in linear mixed models

Knowledge about tools for visualization of treatment effects


Skills to manage data in suitable form for longitudinal analysis with standard software

Produce an analysis plan that correspond to relevant research questions in linear mixed models

Skills to perform analysis of treatment effects and/or change using standard software in studies with repeated measures

Skills to interpret output from analysis of linear mixed models

Skills to visualize individual differences, and overall treatment effects

General competence:

Ability to use linear mixed models in treatment/intervention research

Ability to interpret research findings in published research using linear mixed models




2 ects

All together 18 hours with teaching

Formelle krav

Påmelding og -fristar

The candidates need to sign up for the course 2 weeks in advance on studentweb. The maximum number of participants is 20.

Krav til forkunnskapar

Completion of Norwegian degrees as a psychologist or Master degree or equivalent education and entry into a PhD program.

Obligatoriske arbeidskrav

80 % attendance of the lectures, seminars, group work and demonstrations/ practical activities


Submission of and approval of course paper.

Kven kan delta

Primarily doctoral candidates. Others may apply. Level of study: PhD

ECTS will be only be given to candidates with admission to a doctoral education at the University of Bergen.

Utfyllande informasjon

Utfyllande kursomtale

The course content deals with modern approaches for modeling treatment effects in multi-wave treatment/intervention studies. The course highlights key dilemmas and data analytic decisions from a user perspective.

The course objective is to provide a learning situation where participants gain experience with data management, key analytic decisions, and proper interpretations of results from longitudinal treatment/intervention studies. Topic include:

  • Data management and data quality assurance in treatment/intervention studies
  • Longitudinal data analysis
  • Mixed-linear models of treatment/intervention effects
  • Multilevel model of change in treatment/intervention studies
  • Sample size, power and effect size
  • Missing data assumptions, intention-to-treat analysis
  • The complete workflow of longitudinal data analysis: Case studies

The 3-day course will be structured as a series of lectures (12-15 hs), lab sessions (6hs) and self-study (24hs) with relevant exercises. Participant are expected to bring their own laptop with SPSS installed.

The workshops include analysis of didactic data sets, but participants are encouraged to bring in their own datasets.


Studierettleiar kan kontaktast her:
Tlf 55 58 86 22

Fagleg ansvar

Det psykologiske fakultet


No mandatory literature, but a list of recommended literature will be provided.


UiB, Bergen


  • Vurderingsordning: Oppgåve