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PhD course

Linear mixed modeling of treatment/intervention studies

  • ECTS credits2
  • Teaching semesterSpring, Autumn
  • Course codeCDP991
  • Resources

Course description

Language of instruction

Norwegian or english

Learning outcomes

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

Knowledge:

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:

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

Study period

Spring

Credits (ECTS)

2 ects

All together 18 hours with teaching

Specific terms

Course registration and deadlines

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

Compulsory Requirements

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

Form of assessment

Submission of and approval of course paper.

Who may participate

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.

Addtional information

Supplementary course information

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

TEACHING METHODS
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.

Contact

post@psysp.uib.no / Tlf 55 58 86 22

Academic responsibility

Faculty of Psychology

Reading list

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

Course location

UiB, Bergen

Study period

Spring