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Regular version of the site
Postgraduate course 2022/2023

Multilevel Modeling

Type: Elective course
Area of studies: Sociology
When: 2 year, 1 semester
Mode of studies: offline
Open to: students of one campus
Instructors: Eduard Ponarin, Olesya Vólchenko
Language: English
ECTS credits: 4
Contact hours: 28

Course Syllabus

Abstract

Analysts have to deal with hierarchical data structures increasingly more often. In particular, one encounters them in the context of cross - country comparisons. Classic regression methods applied to such data result in biased estimates. There are several ways to deal with this problem. One popular method is the multilevel regression. This course covers the basic tenets of this method with applications to international survey research data. The course assumes the student's knowledge of linear and binary logistic regression modelling.