Multilevel Regression Modelling

The course is designed to provide scholars with a basic understanding of multilevel (a.k.a. hierarchical or mixed) models. Upon completion the students will have a basic conceptual understanding of multilevel modelling and its statistical foundations. Students will be able to critically assess the appropriateness of such techniques in their own and other people’s research. Special attention is given to the translation of theoretical expectations into statistical models, the interpretation of results in multilevel analyses and the general use and misuse of multilevel models in the social sciences. Lab sessions will provide basic application of multilevel models in SPSS with continuous and limited dependent variables in hierarchical, longitudinal and cross-classified nesting situations. The goal of the course is to offer a basic introduction and the foundation for students to start using and critically assessing multilevel models and also have the ability to independently discover and master advanced multilevel statistical topics.

Course leader

Levente (Levi) Littvay Central European University

Target group

advanced students and junior researchers in political science and adjacent disciplines

Course aim

as above