UV9254 – Advanced Multilevel Modeling
Since multilevel modeling has gained importance in educational and psychological research, researchers have developed a number of advanced approaches that overcome the drawbacks of traditional multilevel regression analysis. These approaches are by and large summarized within a multilevel structural equation modeling framework and provide flexible methods to address research questions that differentiate between students and classrooms, employees and companies etc. For instance, they enable school researchers to study the link between instructional variables such as teaching quality and student achievement.
In this course, we will introduce the concept of multilevel structural equation modeling and provide a number of applications from substantive areas. Among other models, we will cover doubly-latent, mediation, confirmatory factor-analytic and structural equation models. Depending on the audience, further modeling approaches might be addressed (e.g., longitudinal models). It is also intended to help students conduct their own analyses and interpret the results.
This course combines lectures and hands-on exercises, and builds up knowledge and skills in using advanced multilevel modeling techniques.
Ph.d.-students at The Faculty of Education will be given priority, but it is also possible for other Ph.d.-students to apply.
Ph.d.-students from the University of Oslo apply through Studentweb.
Registration deadline: 2017
Recommended previous knowledge
Basic knowledge of multilevel and structural equation modelling is recommended.
Duration: 12 hours
Course leader: Professor Jan-Eric Gustafsson and Postdoctoral fellow Ronny Scherer, CEMO, UiO.
Please, bring own laptop preferably with Mplus installed. If you don't have access to Mplus, please, contact us by email.
To obtain 1 study point 80% attendance in the lectures is required.
To obtain 3 study points a short paper needs to be submitted after the
Grades are awarded on a pass/fail scale. Read more about the grading system.
Language of examination
The examination text is given in English, and you submit your response in English.