30246
Vertiefungsseminar
WiSe 22/23: Beyond Survey-Data
Stefan Liebig
Kommentar
Quantitative empirical social research has used two main types of data for a long time: First, survey data, in which population samples were interviewed either once (cross-section) or several times (longitudinal) using questionnaires. Such survey data have been the sole source of data, especially for research on attitudes, preferences and life situations. On the other hand, empirical inequality research in particular relies on process-generated data collected within the framework of official statistics and made available to the scientific community for further use. As a result of ongoing digitization, a lot of data is accumulating that can also provide increasingly comprehensive information about people's life situations, life processes and also their opinions and views, and can therefore be helpful in answering central sociological research questions. This refers not only to social media data, but also to usage or observational data as collected via smartphones or other measurement devices. In the social sciences, a new field of research ("computational social sciences") is currently developing that explores the possibilities of using these data and also addresses the question of their methodological quality. In this seminar, the development of these new data spaces for social science research will be presented and discussed using selected examples. Schließen
16 Termine
Regelmäßige Termine der Lehrveranstaltung
Di, 18.10.2022 16:00 - 18:00
Di, 25.10.2022 16:00 - 18:00
Di, 01.11.2022 16:00 - 18:00
Di, 08.11.2022 16:00 - 18:00
Di, 15.11.2022 16:00 - 18:00
Di, 22.11.2022 16:00 - 18:00
Di, 29.11.2022 16:00 - 18:00
Di, 06.12.2022 16:00 - 18:00
Di, 13.12.2022 16:00 - 18:00
Di, 03.01.2023 16:00 - 18:00
Di, 10.01.2023 16:00 - 18:00
Di, 17.01.2023 16:00 - 18:00
Di, 24.01.2023 16:00 - 18:00
Di, 31.01.2023 16:00 - 18:00
Di, 07.02.2023 16:00 - 18:00
Di, 14.02.2023 16:00 - 18:00