Sociology and Social Psychology

Coordinator: Karsten Hank

Participating Professors: All professors affiliiated with the Institute of Sociology and Social Psychology (ISS)

The track Sociology and Social Psychology aims to equip PhD students with theoretical and methodological skills for the advanced analysis of social phenomena on the micro- and macro-level. The track offers an interdisciplinary perspective by combining scholars from the field of social psychology and sociology. The methodological focus of the track is on the statistical analysis of individual and group data (e.g., from experiments) and cross-national and longitudinal data (e.g., from survey panels). PhD students are introduced to experimental methods and advanced statistical techniques for the analysis of observational micro-data, macro-data, and the combination of both in multilevel analysis.

Mandatory Courses
Cycle
ECTS
Adv. MSc
Research Design in the Social Sciences and Management DesignWT 6no
Advanced Sociological Theory and ResearchWT6yes
Advances in Economic and Social PsychologyST6no
Data and Concepts in the Social Sciences and ManagementST6no

 Note: Three out of four courses must be taken

Electives
Cycle
ECTS
Adv. MSc
Advanced statistical methods for social scientists IWT6yes
Advanced statistical methods for social scientists IIST6yes

 One additional course may be chosen from the list of all other tracks (e.g. Comparative Politics)

Research Seminars
Requirements
Adv. MSc
Sociological Research Seminarparticipation mandatory, at least two presentations during PhD studies yes
Economic and Social Psychologyparticipation mandatory, at least two presentations during PhD studies no

  

Prerequisites

We expect that participants have a Master in Social Sciences, Psychology or related fields.

Participants are expected to have a sound knowledge of modern methods or quantitative social research. Master students from the University of Cologne, for example, should have taken the following courses:

  • Linear Models/Analysis of Cross-Sectional Data WT
  • Causal Analysis/Analysis of Longitudinal Data ST
  • Analysis of Survey Data ST