Master 2024/2025

Multi-level Regression Analysis

Type: Elective course (Comparative Social Research)

Area of studies: Sociology

Delivered by: School of Sociology

Where: Faculty of Social Sciences

When: 1 year, 4 module

Mode of studies: offline

Open to: students of all HSE University campuses

Instructors: Ekaterina Nastina

Master’s programme: Comparative Soсial Research

Language: English

ECTS credits: 3

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 modeling. The workload of the course includes participation and preparation for classroom activities, use of open datasets for analyzing individual and country effects in a cross-country perspective, and an individual project in essay form that could be developed into a journal article.