This seminar explores the fascinating world of longitudinal survey data—essential tools for understanding social change and uncovering cause-effect relationships in society. What to Expect: The seminar provides a comprehensive introduction to panel and survey studies. You’ll learn about modern methods of data collection, including online surveys and access-panel approaches, as well as the importance of large-scale person- and household-level panels. In a modular and practice-oriented structure, we cover: • Motivation and Insights (1 session) • Questionnaire Design (2 sessions): Learn the principles of crafting effective survey questions. • Sampling and Weighting (2 sessions): Understand modern sampling techniques and the latest methods in survey weighting. • Innovative Data Collection (2 sessions): Explore emerging modes and technologies in survey research. • Data Quality and Measurement (2 sessions): Examine how to assess and ensure high-quality data—even with experimental tools. • Advanced Panel Data Analysis (3 sessions): Get hands-on with analytical strategies tailored to longitudinal data. Requirements and Prior Knowledge: This seminar is intended for advanced Bachelor's and Master's students in Sociology or related fields. To fully benefit from the course, students should bring: • Basic statistical knowledge: including descriptive statistics and linear regression analysis • Familiarity with sociological theory: basic understanding of key concepts and frameworks • Experience with empirical research in sociology: e.g., previous coursework or practical exposure to data collection, survey design, or data analysis No advanced coding skills are required, but openness to working with the statistical software R is necessary. Participation & Credit Options: While the seminar is modular, full attendance is strongly recommended. • For 5 ECTS credits: Attend at least 75% of the sessions and pass a 60-minute multiple-choice exam at the end of the course. • For 10 ECTS credits: In addition to the exam, submit a short essay (~12 pages) on a topic within “innovative survey methods or/and data analysis”. This includes literature review and a methodological component (e.g., a small data analysis or simulation " close