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Fortgeschrittene Verfahren der Längsschnittanalyse: Applied Panel Data Analysis

Prof. Dr. Michael Gebel, Sonja Scheuring, M. Sc.

4,00 SWS
Zeit und Ort: Mo 8:00 - 12:00, RZ/00.07

Voraussetzungen / Organisatorisches

The seminar starts at October 22, 2018.

Participants are expected to be familiar with multiple linear and binary logistic regression analysis. Students are also required to be familiar with the statistics software Stata. These skills could either be acquired or refreshed in self-studies or by attending an additional compact tutorial course (teaching in German) at the beginning of the winter term. Link to Stata tutorial [https://univis.uni-bamberg.de/form?__s=1113&dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr&anonymous=1&founds=sowi/sozwiss/metho/einfhr&__e=1&sem=2018w&codeset=utf8]

If you like to participate in the compact tutorial course, please register via the virtual campus (VC). Link to VC: https://vc.uni-bamberg.de/moodle/course/view.php?id=31887

It is not necessary to register for the seminar in advance (e.g. via Flexnow, via email, etc.). More information about the course and registration guidelines will only be provided during the first seminar session.

Module-related examination: Portfolio (time: 3 months); could be either written in English or German

Learning targets: The central aim of this course is to empower participants to critically discuss basic concepts and assumptions of linear and binary logistic fixed effect and random effect panel data analyses, to conduct theory-driven empirical research, to choose and specify the appropriate regression models according to the ideas of modern causal analysis, to independently carry out linear and binary logistic fixed effect and random effect panel data analyses using the statistics software Stata, to correctly interpret the results and clearly present the results of regression analyses in tables and graphs.

Course contents: In general, the course quickly repeats the logic of the longitudinal research design and introduces the foundations of applied panel data analyses. Specifically, linear fixed effect and random effect models and binary logistic fixed effect and random effect models are presented and discussed. In addition, more complex hybrid models (e.g. FEIS) will be part of the seminar to ensure an up-to-date understanding of panel data analysis and to offer possible solutions for more advanced problems. In lab sessions participants will learn how to practically implement panel data analyses using the statistics software Stata. The lab sessions and the seminar theses will draw exclusively on topical sociological questions of life course research (consequences of life course events) and data of the Socio-Economic Panel (SOEP). Specifically, the course offers an applied introduction and hands-on experience in the complex preparation of panel data for the statistical analyses during the lab sessions.

Englischsprachige Informationen:
Credits: 12

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 30

Institution: Lehrstuhl für Soziologie, insbes. Methoden der empirischen Sozialforschung

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