PSY9185 ¨C Multilevel models

Course content

In multilevel models (MLM), units of interest are nested within higher order units (children within classrooms, observations at different times within the same person), and influences can operate at and between all levels in the hierarchy. This allows MLM to give proper inferences in many scenarios where traditional approaches fail, while allowing researchers to pose questions that other statistical models cannot address.

Learning outcome

This course gives an introduction to multilevel models as useful analytical tools for social scientist. Practical exercises will focus on implementing and interpreting multilevel models using SPSS. Particular emphasis will be placed on the use of MLM to investigate longitudinal data. Familiarity with linear regression is assumed.

• Learn to recognize whether there are dependencies in your data that might invalidate inferences in traditional statistical analyses.
• Learn to implement multilevel models in SPSS, and interpret and present the results.

Admission to the course

This is an elective course in the PhD-programme in psychology. PHD candidates at PSI needs to sign up to the course in Studentweb. Please contact the administration if you have problems to sign up in Studentweb.?

Candidates from PhD-programmes at other institutions are welcome to apply to the course through this online form.

The registration form opens on December 3rd 2024. The registration deadline is written in the online form and you will receive an email shortly after the deadline if you got admitted to the course.?

All candidates need to be signed up in Studentweb before the first day of teaching.?

Recommended previous knowledge

PSY9170

Enrollment in a PhD-programme.

Teaching

Each spring.

Examination

2 credit points for attendance over three days.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

More about examinations at UiO

• Use of sources and citations
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations at UiO.