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Einrichtungen >> Fakultät Sozial- und Wirtschaftswissenschaften >>
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Fortgeschrittene Verfahren der Längsschnittanalyse: Sequences of life: Depicting the life-course as a sequence of events- Dozent/in
- Sophia Fauser, M.A.
- Angaben
- Seminar
Rein Online
4 SWS
Zeit: Mo 14:00 - 18:00, RZ/00.05
- Voraussetzungen / Organisatorisches
- Voraussetzungen / Organisatorisches:
Students have to be familiar with the contents of the compulsory lecture “Research design”.
Students are required to be familiar with the statistics package Stata. These skills could either be acquired or refreshed in self-studies or by attending an online tutorial course. Link to Stata Tutorial
Moreover, familiarity with basic quantitative methods, such as (cross-sectional) multiple linear and binary regression analysis would be an advantage but is not required.
Registration:
Please register in the VC of the event until 14.10.2021. Only the persons who are registered in the VC will receive all information about the course.
Type of instruction:
On-site teaching; only the introductory course is given online on 18 October. There will be no video recording. Changes are possible depending on the guidelines of the university.
Language of instruction:
English.
Module-related examination:
Portfolio (time: 3 months); can be either written in English or German
- Inhalt
- Learning targets:
The central aim of this course is to introduce students to the interdisciplinary method of sequence analysis and enable them to independently apply it to sociological research topics using the statistics package Stata. Specifically, students will receive an overview of working with longitudinal data of the Socio-Economic Panel (SOEP), and learn to prepare panel data for sequence analysis, the various ways of illustrating and describing sequences, as well as how to use the identified sequences for further theory-driven empirical analysis (using groups of sequences both as an independent or dependent variable) and to correctly interpret and clearly present the results of sequence analyses in tables and graphs.
Course contents:
Originating in biology, the interdisciplinary method of sequence analysis has become a popular tool in the social sciences to depict and study life-course events and processes such as the transition from school to work, employment careers or family formation. Generally, the basic idea of sequence analysis is to study successions of states and events, thus offering a more holistic approach than the cross-sectional comparison of single states (e.g. comparing the employed to unemployed).This course is designed to introduce students to sequence analysis and its application to life-course research questions, especially concerning work trajectories (e.g. transitions in and out of unemployment) and family formation processes (e.g., transitions from single to first marriage or childbirth). The course gives an overview of the foundations of working with the Socio-Economic Panel (SOEP) and on how to prepare panel data for sequence analysis. Moreover, the course covers the description and illustration of sequences, measuring the similarity of sequences, clustering sequences, and approaches to further work with sequences as a dependent variable or as an independent variable in a regression framework. Exemplary empirical studies and current debates in the sequence analysis literature are discussed. Additionally, in lab sessions students will learn how to practically implement sequence analyses using the statistics package Stata. The lab sessions and the seminar theses will draw exclusively on topical sociological questions of life course research (determinants and consequences of life course events such as unemployment, fixed-term employment, childbirth or marriage) and data of the SOEP. Specifically, the course offers an applied hands-on approach to the preparation of panel data for sequence analysis and the statistical analyses of life-course sequences during the lab sessions.
- Englischsprachige Informationen:
- Title:
- Fortgeschrittene Verfahren der Längsschnittanalyse: Sequences of life: Depicting the life-course as a sequence of events
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 25
- Institution: Lehrstuhl für Soziologie, insbes. Methoden der empirischen Sozialforschung
Hinweis für Web-Redakteure:
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