This multilevel short course is aimed at providing an introduction to multi-level modeling as a research method for RISIS researchers and give them the tools to apply the method to their work. The course in divided into a statistical teaching of the method as well as an guided application through a practical group exercise. The former part focuses on the rationale for multi-level modeling and how it can be applied to research in the field the higher education. The latter part allows for a hands-on guidance with using the technique with RISIS datasets and allows for participants apply it to different settings and discuss the interpretation of the results and its limitations.
Multilevel modeling gives researchers substantial leverage in overcoming the usual problems associated with either ignoring multiple levels of data or combining them.
The inherent structure of higher education and research policy data makes it well suited for multi-level modeling. For instance, researchers tend to be nested into laboratories within universities or in comparative analysis universities are nested into countries. In order to demonstrate the analytical value for the research policy field, the course will include demonstrations and practical exercises done with datasets available in RISIS.
Day 1 – January 8, 2015
9:30-10:00 – Introduction
10:00-11:30 – Conceptual bases of Multilevel Modeling
11:30-12:30 – Applications of Multi-level Modeling in Research Policy and Higher Education
14:00-15:00 – Multilevel Modeling with STATA
15:00-15:30 – Introduction to Group Exercise and Group Planning Session
16.00 – 18.00 – First session group work
Day 2 – January 9, 2015
9:00-12:00 – Second session group work
13:00-15:00 – Group Presentations
15:00-16:00 – Closing Remarks and Recap
The course aims at involving up to 15
participants among the following categories:
Participants attending the course will be asked to send some preliminary questions about their experience with multi-level modelling and specific policy questions of interest to them.
November 30, 2014
Dr. Anne-Marie Jeannet, Dr. Benedetto Lepori
Contact person: Dr. Anne-Marie Jeannet