| Dozent/in |
Dr. Álvaro Canalejo-Molero, MA |
| Veranstaltungsart |
Masterseminar |
| Code |
HS241414 |
| Semester |
Herbstsemester 2024 |
| Durchführender Fachbereich |
Politikwissenschaft |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Do, 19.09.2024, 14:15 - 18:00 Uhr, 3.B48
Do, 03.10.2024, 14:15 - 18:00 Uhr, 3.B48
Do, 17.10.2024, 14:15 - 18:00 Uhr, 3.B48
Do, 31.10.2024, 14:15 - 18:00 Uhr, 3.B48
Do, 14.11.2024, 14:15 - 18:45 Uhr, HS 8
Do, 28.11.2024, 14:15 - 18:00 Uhr, 3.B48
Do, 12.12.2024, 14:15 - 18:00 Uhr, 3.B48 |
| Weitere Daten |
Bi-weekly (two sessions every two weeks) |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
Zwei-wöchentlich |
| Inhalt |
Social science is increasingly adopting quantitative research tools, such as experimental, statistical and machine learning methods. Students without a strong mathematical background often struggle to keep up with these developments. Motivated by these facts, this seminar introduces students to quantitative social research with an intuition-based approach. The goal is twofold: first, to provide students with the basic toolset to elaborate the research designs that better fit their needs, and second, to enable them to gain a deeper understanding of specific methods autonomously by making quantitative research accessible. To meet these goals, the seminar will first delineate the fundamental elements of scientific inquiry in the social sciences. With a clear understanding of these elements, the students will be guided through the essential social science approaches: the comparative, the statistical, and the experimental method. Finally, the seminar will also train students to deal with applied quantitative research by providing basic statistical skills, such as producing descriptive statistics, reading regression tables, interpreting statistical tests, and converting hypotheses into an appropriate regression model. Students will learn to identify their research goals and elaborate a theory-driven research design. Students are encouraged to think critically to detect and understand the strengths and limitations of specific quantitative analyses. |
| E-Learning |
https://lms.uzh.ch/url/RepositoryEntry/17583865929 |
| Lernziele |
1. [Knowledge] To understand the logic of quantitative social science, differentiate the main targets of scientific inference and identify appropriate methods to serve these goals.
2. [Competence — reading research] To understand and critically assess quantitative research articles.
3. [Competence — research design] To identify an appropriate and feasible research design for a given research problem, including an indication of the appropriate statistical tests (when applicable).
4. [Competence — statistical analysis] To perform simple descriptive and inferential statistical analyses. |
| Voraussetzungen |
Being enrolled in a Master of Research; open to advanced BA students |
| Sprache |
Englisch |
| Anmeldung |
***Wichtig***
Um Credits zu erwerben ist die Anmeldung zur Lehrveranstaltung über das
UniPortal zwingend erforderlich. Die Anmeldung ist ab zwei
Wochen vor bis zwei Wochen nach Beginn des Semesters möglich. An- und
Abmeldungen sind nach diesem Zeitraum nicht mehr möglich. Die genauen
Anmeldedaten finden Sie hier: www.unilu.ch/ksf/semesterdaten |
| Prüfung |
No exam
Active participation, mandatory reading, three take-home exams (i.e., assignments) and one 20-min oral presentation |
| Abschlussform / Credits |
Aktive Teilnahme, Essay (benotet) / 4 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
alvaro.canalejo@unilu.ch |
| Material |
Pflichtlektüre und Seminarmaterialien zugänglich auf Online-Plattform OLAT
Individual laptop |
| Literatur |
Tentative basic literature (subject to potential modifications):
- Blackwell, M. (2023)A User’s Guide to Statistical Inference and Regression. Openbook. - Box-Steffensmeier, J. M, Brady, H. E., and D. Collier, ed. (2008). The Oxford Handbook of Political Methodology. Oxford: Oxford University Press. - Bueno de Mesquita, E. and Fowler A. (2021). Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis. Princeton University Press. - Imai, K. (2017). Quantitative Social Science: An Introduction. Princeton: Princeton University Press. - Kellestedt, P. M., and Whitten, G.D. (2013). The Fundamentals of Political Science Research. Second Edition. Cambridge: Cambridge University Press. - King, G.,Keohane, R.O., and S. Verba (1994). Designing Social Inquiry. Princeton: Princeton University Press.
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