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33426-01 - Seminar: Quantitative Data Analysis in African Studies 3 KP

Semester Frühjahrsemester 2019
Angebotsmuster Jedes Frühjahrsem.
Dozierende Elisio Macamo (elisio.macamo@unibas.ch, BeurteilerIn)
Inhalt The aim of this course is to improve participants’ ability to read and critically engage with quantitative research reports. It assumes no advanced knowledge of mathematics and does not expect participants to be familiar with advanced statistical methods. The course will introduce participants to the logic of quantitative analysis by exploring fundamental aspects of the logic underlying it and in this way improving participants’ own analytical and critical skills. In preparation for the course, participants are required to not only read the recommended literature, but also identify a quantitative research report (article, book chapter, etc.), which they are expected to critically evaluate as part of their own evaluation for the course.
Lernziele Students know
- that “analysis” is above all an exercise in argumentation;
- how to identify the logical structure of explanations in quantitative analysis;
- how basic argument forms such as comparison and representativeness can be deployed in analysis;
- how to avoid the pitfalls of faulty reasoning such as in “cause and effect”, “ignoring evidence” and “anticipation”;
- how to deploy quantitative analytic tools in the context of Africa.
Literatur Neuman, Lawrence, W. 2007: Basics of Social Research – Qualitative and Quantitative Approaches. Pearson Education. Boston (chapter 10).
Kalof, Linda, Dan, Amy and Dietz, Thomas 2008: Essentials of Social Research. Open University Press. Maidenhead (chapter 3).
Best, Joel 2001: Damned Lies and Statistics – Untangling numbers from the media, politicians, and activists. University of California Press. Berkeley.
Browne, M. Neil and Keeley, Stuart M. 2007: Asking the Right Questions – A guide to critical thinking. Pearson Prentice Hall. New Jersey.
Murphy, Robert P. Economists Should Be More Careful With Their Statistics. Here: https://www.econlib.org/library/Columns/y2018/Murphystatistics.html
Bemerkungen This course is held in early June in compact format. It is essential that students have read the preparatory reading by then. Further preparatory tasks will be communicated to the participants by the end of March 2019.

 

Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Block
Datum 03.06.2019 – 07.06.2019
Zeit Montag, 09.15-18.00 Rheinsprung 21, Seminarraum 00.004

The teaching sessions will be half-day only. From Monday to Thursday participants must allocate sufficient time for individual and group excercises (home-work).

Datum Zeit Raum
Montag 03.06.2019 09.15-18.00 Uhr Rheinsprung 21, Seminarraum 00.004
Dienstag 04.06.2019 09.15-18.00 Uhr Rheinsprung 21, Seminarraum 00.004
Mittwoch 05.06.2019 09.15-18.00 Uhr Rheinsprung 21, Seminarraum 00.004
Donnerstag 06.06.2019 09.15-18.00 Uhr Rheinsprung 21, Sitzungszimmer U4.002
Freitag 07.06.2019 09.15-18.00 Uhr Rheinsprung 21, Seminarraum 00.004
Module Modul: Empirische Forschungsmethoden (Master Studienfach Politikwissenschaft)
Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies)
Modul: Methoden der Soziologie: quantitativ (Master Studienfach Soziologie)
Modul: Methods for Analyzing Changing Societies (Master Studiengang Changing Societies: Migration – Conflicts – Resources )
Modul: Research Skills (Master Studiengang African Studies)
Modul: Vorbereitung Masterarbeit Gesellschaftswissenschaften (Masterstudium: Sustainable Development)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung In preparation for the course, participants are required to not only read the recommended literature, but also identify a quantitative research report (article, book chapter, etc), which they are expected to critically evaluate as part of their own evaluation for the course.
The block course consists of morning sessions only. Participants must allow for sufficient time for daily assignments..
An-/Abmeldung zur Leistungsüberprüfung Anmelden: Belegen; Abmelden: nicht erforderlich
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch
Anbietende Organisationseinheit Zentrum für Afrikastudien

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