PSY9185 – 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 program in Psychology. PhD candidates at PSI need to sign up for the course in Studentweb. Please contact the administration if you have problems to sign up in Studentweb.?
Candidates from PhD programs at other institutions are welcome to apply to the course through this online form.
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
We recommend that candidates have completed PSY9170/PSY9175 or equivalent.?
Enrollment in a PhD program.
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.
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