The course combines labor market research on inequalities and justice perceptions with applied quantitative data analysis. From an analytical sociology perspective, substantive mechanisms will be introduced and discussed that drive actual inequality and justice perceptions between social groups regarding different labor market outcomes like earnings, promotion opportunities, among others. We derive hypotheses from the theories introduced and will test them using large-scale quantitative data. In particular, we use the German Socio-Economic Panel (SOEP) and the European Social Survey (ESS) as the main data sources.
Basic knowledge of applied data analysis is required, such as descriptive statistics. Overall, motivation to learn about quantitative data analysis in the context of social research is suggested for participating.
The knowledge of Stata or R is useful, but not necessary.
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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30-M-Soz-M7_LF1 Lehrforschung in Sozialstruktur und sozialer Ungleichheit | Alternativ zu Seminar 1 und Seminar 2: großes Seminar | Studienleistung
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Studieninformation |
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Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.
The course aims to provide students with research and practical skills related to applied data analysis on social inequalities and justice evaluations. It will do so by relying on a learning by doing strategy according to which students will work on practical exercises with the guidance of the teaching staff. Furthermore, students will have the opportunity to develop a research paper based on empirical data analysis. The course exercises will be conducted with the statistical software packages R or Stata (according to each student’s preference).
Zu dieser Veranstaltung existiert ein Lernraum im E-Learning System. Lehrende können dort Materialien zu dieser Lehrveranstaltung bereitstellen: