Universität Wien FIND

210026 UE BAK4.2: UE Quantitative Methoden der empirischen Sozialforschung (2017W)

UE Quantitative Methods of Empirical Social Research(engl.)

6.00 ECTS (2.00 SWS), SPL 21 - Politikwissenschaft
Prüfungsimmanente Lehrveranstaltung

Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.

Beachten Sie die Standards guter wissenschaftlicher Praxis.

Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 09.10. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 16.10. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 23.10. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 30.10. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 06.11. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 13.11. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 20.11. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 27.11. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 04.12. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 11.12. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 08.01. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 15.01. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 22.01. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Montag 29.01. 10:00 - 11:30 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Learn the "tools" for quantitative research:
a) Principles and methods of quantitative empirical social research.
- What are the key features of empirical research based on quantitative methods?
b) Overview of basic statistics and their application.
- How can I describe the collected material or "data" and test my hypotheses?
c) Learning basic commands of the statistical software Stata.
- How can I process my data efficiently?

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final assessment will be based on the following components:
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.

Mindestanforderungen und Beurteilungsmaßstab

The final assessment will be based on the following components:
(1) Regular attendance in class (maximum 2 classes can be missed)
(2) 3 short homework assignments (30% of final grade). The assignments will be posted on Moodle at the end of the class, and have to be completed before the beginning of the following class. Joint homework is possible, but for 2 students maximum.
(3) 1 short test in December (20% of final grade). The test will be conducted in class and will concern theoretical questions and/or interpretation of Stata output. Duration: max 45 minutes.
(4) Final assignment (50% of final grade). At the end of the course, the students will be required to write a final paper of 2000-2500 words, focusing mostly on methods with applications in Stata. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course. Joint work is NOT allowed for the final assignment. Final assignments need to be handed in by 31 March 2018.
Please note that all four components are essential for the final grade, i.e. students have to be present in class, hand in 3 homework assignments, complete the short test in December, and hand in the final assignment.
In cases of suspected plagiarism students may be called upon to reasonably demonstrate that any work they have submitted is their own.

Prüfungsstoff

In addition to the homework assignments and the short test in December, the students have to hand in a final assignment by 31 March 2018. The final assignment will focus on different topics covered in class, and will include basic data analysis using the Stata commands learnt in class. Detailed instructions about the final assignment will be posted on Moodle and circulated in class before the end of the course.

Literatur

Reading materials will be made available in the entrance hall of the Department of Government (Rathaustrasse 19/9) after the first class. Please regularly check the course page on Moodle for the updated reading list, and for additional reading materials.
Suggested readings:
- Paul M. Kellstedt, and Guy D. Whitten. 2013. The fundamentals of political science research. Cambridge: Cambridge University Press
- Alan Agresti and Barbara Finaly. 2009. Statistical methods for the social sciences (fourth edition). New Jersey: Pearson Education International
- Alan C. Acock. 2014. A Gentle Introduction to Stata (4th Edition). College Station, Texas: Stata Press

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 31.08.2018 08:42