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46737-01 - Seminar: Experimental Research Methods in Social Science 3 KP

Semester Frühjahrsemester 2022
Angebotsmuster unregelmässig
Dozierende Iljana Schubert (iljana.schubert@unibas.ch, BeurteilerIn)
Inhalt This seminar will teach different experimental research techniques, such as lab experiments, field experiments and survey experiments, in the social sciences. It will include practical aspects which will focus on design, data collection and basic data analysis.
Each seminar session will be divided into individual presentations and group work to develop, collect data on and analyse a small scale experiment within groups of 2-4 people.

This course is supported by "Impuls". Impuls supports lecturers and students in implementing projects related to the Sustainable Development Goals (SDGs) as part of their courses. The funding from Impuls is intended to train students to become change agents for sustainability and to inspire and enable them to use these skills for sustainable(re) development in their later professional and private lives. In addition to financial support, the funding also includes coaching for the implementation of the student projects and an SDG workshop. More information is available on the website: www.unibas.ch/impuls".


Lernziele To understand what experimental research methods are and how to design experiments in social sciences. Gain some experience designing experiments, collecting some data and understanding basic analysis.


Literatur tba in class
Bemerkungen Please note entry requirements and mandatory course application procedure (additional to registration on MOnA). For details see corresponding paragraphs.

MSD 2017
Students who have chosen the focus area in natural sciences or in economics transfer the CP to the FASR module (learning agreement).
For the students with focus area in social science it's mandatory to attend one class in methods, see information in the medium-term syllabus. If they attend this seminar on a voluntary base, they can accredit the CP either for the published module or transfer them to the FASR module (learning agreement).

This seminar is offered by MSD. Dr. Iljana Schubert is a post doc staff member of the Sustainability Research Group, Dep. Social Sciences, Faculty of Humanities and Social Sciences.

 

Teilnahmebedingungen Prior experience with statistical software (e.g. SPSS) as well as prior knowledge of univariate statistics and basic knowledge of ANOVA or OLS regression is expected.

Special course inscription required for ALL (for details see 'course application' or 'Anmeldung').

Limited number of participants (15), Students of the MSD and JIDSD have a first priority, those of the mentioned fields of study (see list of modules) have a second priority.
If you study something different, you must do a master degree within the Departement of Social Sciences/Faculty of Humanities and Social Sciences and may attend the seminar in case of vacancies (=third priority).
MSD students who have chosen the focus area in natural sciences or in economics must have completed the 'Complementary Knowledge in Social Sciences' module (at least 8 CP).
Anmeldung zur Lehrveranstaltung Mandatory application for ALL: Link for application open from 18.01.22/noon - 06.02.22/midnight:
https://adam.unibas.ch/goto_adam_fold_744950.html

Login on top row right hand side of ADAM website. The link is open as soon as the application form is online.

In case of vacancies the mandatory online application link remains open until 03.03.22/noon.

Course enrollment on MOnA should be completed by the beginning of the teaching period (withdrawal possible until Monday of week five).
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall wöchentlich
Datum 24.02.2022 – 31.05.2022
Zeit Donnerstag, 10.15-12.00 Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Datum Zeit Raum
Donnerstag 24.02.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 03.03.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 10.03.2022 10.15-12.00 Uhr Fasnachtsferien
Donnerstag 17.03.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 24.03.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 31.03.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 07.04.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 14.04.2022 10.15-12.00 Uhr Ostern
Donnerstag 21.04.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 28.04.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 05.05.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 12.05.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 19.05.2022 10.15-12.00 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Donnerstag 26.05.2022 10.15-12.00 Uhr Auffahrt
Dienstag 31.05.2022 08.15-09.45 Uhr Bernoullistrasse 14/16, Kleiner Seminarraum 02.001
Module Modul: Erweiterung Gesellschaftswissenschaften M.A. (Master Studienfach Politikwissenschaft)
Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies)
Modul: Methoden der Soziologie und der Gesellschaftswissenschaften: quantitativ (Master Studienfach Soziologie)
Modul: Methods for Analyzing Changing Societies (Master Studiengang Changing Societies: Migration – Conflicts – Resources )
Modul: Vorbereitung Masterarbeit Gesellschaftswissenschaften (Masterstudium: Sustainable Development)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung Regular attendance, required reading. Individual presentation and small group experimental research project report.

An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,1
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Universität Basel
Anbietende Organisationseinheit Fachbereich Nachhaltigkeitsforschung

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