Multilevel Models

Knowledge

• recognize the general principles of multilevel models
• understand the key assumptions that underlie these models and methods
• understand the principles of model selection and associated inferences

Skills

• select, apply, and interpret the results of a multilevel model that is appropriate for the data and the research question at hand
• test key assumptions and offer possible solutions to violations
• write up the results of an analysis in an appropriate way
• analyze data with help of existing statistical software packages

General Competencies

• demonstrate a facility with multilevel modeling to answer well-defined research questions
• interpret published scientific research that uses these models and methods
• evaluate the tenability of associated inferences and knowledge claims

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

All students at the Master's Programme in Assessment, Measurement and Evaluation have equal access to the course.

Qualified exchange students and students from other master's programmes at UiO may be considered based on capacity. Contact us if you want to apply for the course. If you are unsure of whether or not you have sufficient prior knowledge, please send us documentation of previous relevant courses you have taken.

PhD candidates can take the PhD version of the course: UV9253

This course combines lectures and computer labs with data analysis tasks in statistical software environments.

Obligatory course components:

• Computer lab participation and completion of computer lab exercises

Course offered for the first time in autumn 2019, then every autumn after that

Exams offered for the first time in autumn 2019, then every autumn after that

The exam consists of a 4 hour individual written examination covering all course material and topics.

You need to have successfully completed the obligatory course components before being allowed to sit the exam. If you do not fulfill these requirements, you must submit a written request to apply for an additional assignment prior to sitting the exam. The application must document stated reasons for absence beyond your control.

Previously given exams and grading guides

• Illness at exams / postponed exams
• Resitting an examination