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Seminar: 08-29-FEM-4 Multilevel modelling for social scientists - Details

Seminar: 08-29-FEM-4 Multilevel modelling for social scientists - Details

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General information

Course name Seminar: 08-29-FEM-4 Multilevel modelling for social scientists
Subtitle
Course number 08-29-FEM-4
Semester WiSe 2025/2026
Current number of participants 9
expected number of participants 30
Home institute Soziologie
Courses type Seminar in category Teaching
First date Thursday, 23.10.2025 09:00 - 15:00, Room: (UNICOM 7.4500)
Type/Form
Englischsprachige Veranstaltung Ja

Rooms and times

(UNICOM 7.4500)
Thursday, 23.10.2025 - Friday, 24.10.2025, Thursday, 20.11.2025 - Friday, 21.11.2025 09:00 - 15:00

Module assignments

Comment/Description

Social scientists are typically interested in phenomena that are nested and span multiple levels of analysis: we investigate the political preferences of citizens who live in different countries, individuals who belong to families, pupils who are enrolled in different schools,…

This course teaches you how a variety of nested data structures that are common in social science research can be analyzed using multilevel models.
The course focuses on the estimation of multilevel models in practice as well as the interpretation of multilevel results. Several substantive applications in the area of cross-national comparative research, investigating how national context shapes public opinion.

Topics covered include:
• two-level linear models with random intercepts and/or random slopes;
• separating within from between effects;
• multilevel logistic models;
• more complex data structures (including multilevel models for longitudinal data).

The course combines interactive theoretical sessions and hands-on labs using software package R. Knowledge about the basics of linear regression analysis and hypothesis testing are a prerequisite for taking this course. Some previous experience with R is useful, but not mandatory.

For the evaluation of this course, students can work on a small multilevel research project of their choice.

Course dates: 23 & 24 Oct; 20 & 21 November

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.